CN116502878A

CN116502878A - Site distribution method and device for goods to manual sowing workstation

Info

Publication number: CN116502878A
Application number: CN202310777674.1A
Authority: CN
Inventors: 余嘉雄; 白红星; 谷春光
Original assignee: Zhejiang Galaxis Technology Group Co Ltd
Current assignee: Zhejiang Galaxis Technology Group Co Ltd
Priority date: 2023-06-29
Filing date: 2023-06-29
Publication date: 2023-07-28

Abstract

The invention provides a station distribution method and a station distribution device for a goods to a manual sowing workstation, which relate to the technical field of warehouse logistics and comprise the following steps: acquiring an order set corresponding to goods in a current inventory box to be processed; determining the required quantity of new sowing boxes corresponding to the order set; when the number is equal to 0, the orders in the order set are all related orders of the incomplete orders, and the site allocation strategy of the stock box is determined according to the positions of the allocated sowing boxes of all the incomplete orders; and when the number is greater than 0, preferentially distributing new sowing positions in the necessary stations, and if the new sowing positions in the necessary stations do not meet the new sowing box requirement of the order set, continuing to distribute new sowing positions in the unnecessary stations. The station allocation strategy provided by the invention can reduce the number of times of entering the stock box, improve the number of sowing items of single entering of the stock box, and alleviate the technical problem of low working efficiency of the manual sowing work station existing in the existing station allocation method.

Description

Site distribution method and device for goods to manual sowing workstation

Technical Field

The invention relates to the technical field of warehouse logistics, in particular to a station distribution method and a station distribution device for goods to a manual sowing workstation.

Background

In the process of goods arrival and personal operation, the goods are decomposed into tasks through orders, after the inventory boxes (such as a multi-layer bin robot) are delivered out of the warehouse, when the goods enter the manual sowing work station through conveying and sorting equipment, specific manual sowing work stations are distributed according to the working states of the manual sowing stations and the conditions of the associated orders of the inventory boxes.

In the existing goods-to-person operation process, only the factors such as the number of empty boxes at the sowing site, the number of allocated operation items, the number of allocated inventory boxes and the like are generally considered for allocation. In the distribution process, the situation that some varieties of actual orders are independently ordered is not considered, the type of stock boxes is not subjected to targeted aggregation treatment, the distribution priority of corresponding empty box points is not limited in a proper range, and therefore the influence factors of the number of empty boxes in the distribution are larger, and the influence of type aggregation and the number of job entries is lower. In the practical application process, the distribution method has the problems of more stock box cross-station times, lower stock box entering sowing items and more stock box entering times. The number of times of entering the stock box is too large, so that the number of boxes in the whole operation area is increased, the operation fluency of the whole subsystem is reduced, the waiting condition of the seeding station is caused, and the operation efficiency of the seeding station is low.

Disclosure of Invention

The invention aims to provide a station distribution method and a station distribution device for goods to a manual sowing workstation, so as to solve the technical problem that the manual sowing workstation has low working efficiency in the existing station distribution method.

In a first aspect, the present invention provides a station allocation method for a hand-seeding workstation, comprising:

acquiring an order set corresponding to goods in a current inventory box to be processed;

determining the required quantity of new sowing boxes corresponding to the order set;

determining a station allocation strategy of the stock boxes according to the positions of the allocated sowing boxes under the condition that the required number of the new sowing boxes is equal to 0;

under the condition that the required number of the new sowing boxes is greater than 0, preferentially distributing new sowing positions in the necessary station, and continuously distributing new sowing positions in the unnecessary station if the new sowing positions in the necessary station do not meet the requirements of the new sowing boxes of the order set;

the necessary station point represents a manual sowing workstation to which an allocated sowing box of an unfinished order meeting the requirement of the sowing space of the associated order belongs; the non-access-necessary station is other manual sowing work stations except the access-necessary station.

In an alternative embodiment, determining the number of new seed boxes needed for the order set includes:

Under the condition that orders in the order set are all associated orders of incomplete orders and the allocated sowing boxes of each incomplete order meet the sowing space requirement of the corresponding associated order, determining that the number of new sowing boxes corresponding to the order set is equal to 0;

otherwise, determining the required quantity of new sowing boxes according to the sowing space requirements of all target orders in the order set; wherein the target order represents an order of a non-designated seeding box in the order set.

In an alternative embodiment, the preferentially allocating new sowing bits in the necessary station includes:

judging whether a target necessary station point with the number of empty sowing boxes being greater than or equal to the required number of the new sowing boxes exists in the necessary station point;

if the new sowing box needs exist and the number of the target necessary-entering stations is unique, distributing all new sowing box needs to the target necessary-entering stations, and determining a station distribution strategy of the stock box based on all sowing box positions corresponding to the order set;

if the number of the target necessary-entering stations is greater than 1, sorting the target necessary-entering stations in a descending order based on the ratio of the sowing boxes of the target goods types in each target necessary-entering station, distributing all new sowing box demands to the top-ranked stations, and determining a station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set; wherein the target item type represents a particular certain type of item type in the inventory box;

And if the needed-entering stations do not exist, sorting the needed-entering stations in a descending order based on the proportion of the sowing boxes of the target goods type in each needed-entering station, sequentially distributing new sowing box demands to each needed-entering station in the sequence, and determining the station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

In an alternative embodiment, the target item type is an instrumental item.

In an alternative embodiment, if the new sowing position in the mandatory site does not meet the new sowing box requirement of the order set, continuing to distribute the new sowing position in the non-mandatory site, including:

judging whether the total amount of empty sowing boxes of all the manual sowing work stations is larger than or equal to the required amount of the new sowing boxes;

if the total number of the sowing boxes is greater than or equal to the total number of the sowing boxes in the necessary-entering station, the sowing boxes in the necessary-entering station are preferentially occupied, the unallocated residual sowing box demands are allocated to the unnecessary-entering station based on a preset rule, and the station allocation strategy of the stock boxes is determined based on all the sowing box positions corresponding to the order set;

if the station allocation strategy of the stock boxes is smaller than the station allocation strategy of the stock boxes, determining that the empty sowing boxes of all the manual sowing workstations are occupied, reflowing the stock boxes corresponding to the orders of the non-allocated sowing boxes, and reallocating the sowing boxes in the next allocation period.

In an alternative embodiment, the allocation of the unallocated remaining planting box demands to the unnecessary access points based on the preset rule includes:

judging whether the unnecessary station is provided with a target unnecessary station with the number of empty sowing boxes being greater than or equal to the required number of the residual sowing boxes;

if the target unnecessary station exists and the number of the target unnecessary station is unique, distributing all the residual sowing box requirements to the target unnecessary station;

if the target unnecessary-entering stations exist and the number of the target unnecessary-entering stations is larger than 1, sorting all the target unnecessary-entering stations based on a preset sorting rule, and distributing all the residual sowing box demands to the stations with the top rank; the priority orders of the plurality of sequencing rules in the preset sequencing rules are sequentially from high to low: sorting from large to small after the ratio of the station empty bin number to a preset threshold value is rounded downwards, sorting from high to low the sowing bin duty ratio of the target goods type, sorting from small to large the number of the allocated items of the station, and sorting from near to far the distance between the inventory bin allocation points and the station;

and if the residual sowing box needs do not exist, sorting all the unnecessary stations based on the preset sorting rule so as to sequentially distribute the residual sowing box needs to the unnecessary stations.

In an alternative embodiment, in a case that none of the orders in the order set specify a seeding box, determining a station allocation policy of the inventory box according to a preset allocation principle includes:

judging whether target sites with the number of empty sowing boxes being greater than or equal to the required number of the new sowing boxes exist in all the manual sowing work stations;

if the new sowing box is present and the number of the target sites is unique, distributing all new sowing box demands to the target sites, and determining a site distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set;

if the number of the target sites is greater than 1, sorting all the target sites based on a preset sorting rule, distributing all new sowing box demands to the top-ranked sites, and determining a site distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set; the priority orders of the plurality of sequencing rules in the preset sequencing rules are sequentially from high to low: sorting from large to small after the ratio of the station empty bin number to a preset threshold value is rounded downwards, sorting from high to low the sowing bin duty ratio of the target goods type, sorting from small to large the number of the allocated items of the station, and sorting from near to far the distance between the inventory bin allocation points and the station;

If not, judging whether the total amount of the empty sowing boxes of all the manual sowing work stations is greater than or equal to the required amount of the new sowing boxes;

if the new sowing box demand is greater than or equal to the preset ordering rule, ordering all the manual sowing work stations based on the preset ordering rule so as to sequentially distribute the new sowing box demand to the manual sowing work stations, and determining a station distribution strategy of the stock box based on all sowing box positions corresponding to the order set;

In a second aspect, the present invention provides a station distribution apparatus for use in a hand-seeding workstation, comprising:

the acquisition module is used for acquiring an order set corresponding to the goods in the inventory box to be processed currently;

the first determining module is used for determining the required number of the new sowing boxes corresponding to the order set;

the second determining module is used for determining a site allocation strategy of the stock boxes according to the positions of the allocated sowing boxes under the condition that the required number of the new sowing boxes is equal to 0;

A third determining module, configured to, when the number of new sowing boxes required is greater than 0, preferentially allocate new sowing bits in the station that is necessary, and if the new sowing bits in the station that is necessary do not meet the new sowing box requirement of the order set, continue to allocate new sowing bits in the station that is not necessary;

the necessary station point represents a manual sowing workstation to which an allocated sowing box of an unfinished order meeting the requirement of the sowing space of the associated order belongs; the non-access site is a site other than the access site.

In a third aspect, the present invention provides an electronic device comprising a memory, a processor, the memory having stored thereon a computer program executable on the processor, when executing the computer program, implementing the steps of the station allocation method for a goods-to-artificial seeding workstation of any of the previous embodiments.

In a fourth aspect, the present invention provides a computer readable storage medium storing computer instructions which, when executed by a processor, implement a site allocation method for a goods-to-artificial seeding workstation according to any of the preceding embodiments.

The invention provides a station allocation method for a goods to a manual sowing workstation, which is used for preferentially allocating new sowing positions in a necessary station when the number of new sowing box demands corresponding to inventory boxes is larger than 0, and continuously allocating new sowing positions in a non-necessary station if the new sowing positions in the necessary station do not meet the new sowing box demands of an order set. Wherein the necessary station point represents a manual seeding workstation to which an allocated seeding box of an unfinished order meeting the requirement of the seeding space of the associated order belongs; the non-invasive station is a manual sowing workstation other than the invasive station. The station allocation strategy provided by the invention can reduce the number of times of entering the stock box, and improve the number of sowing items of single entering of the stock box, thereby effectively relieving the technical problem of low working efficiency of the manual sowing work station in the existing station allocation method.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for site allocation from a good to a manual seeding workstation according to an embodiment of the present invention;

FIG. 2 is a flow chart of a station allocation strategy for determining inventory boxes in the case of prior allocation of new sowing positions in a necessary station in the case of a new sowing box demand greater than 0 according to an embodiment of the present invention;

FIG. 3 is a functional block diagram of a station distribution device for a hand-seeding workstation according to an embodiment of the present invention;

fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Some embodiments of the present invention are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.

Example 1

Fig. 1 is a flowchart of a station allocation method for a cargo to a manual sowing workstation according to an embodiment of the present invention, as shown in fig. 1, the method specifically includes the following steps:

step S102, acquiring an order set corresponding to the goods in the inventory box to be processed currently.

It is known that each artificial sowing workstation (hereinafter referred to as "workstation") corresponds to a plurality of sowing boxes (i.e., sowing positions), each sowing box corresponds to an order, but one order may be allocated to a plurality of sowing boxes, the sowing boxes play a role of collecting orders, namely, collecting the orders according to the variety and quantity requirements in the order, releasing the boxes to the next process position (composite package) for operation after the boxes are collected, and releasing the sowing boxes for recycling.

The stock box is pulled by orders, and the goods in the stock box correspond to 1 or more orders, so that a work station is allocated to the goods in the stock box to be processed currently, namely, the corresponding sowing box is determined for each order, and therefore, the corresponding order set of the goods in the stock box to be processed currently needs to be acquired first. For example, there are 1-10 items in the stock box, 1-3 belonging to the corresponding order A,4-8 belonging to the order B,9 and a part of 10 belonging to the order C, and the rest part of 10 belonging to the order D, then the order set of the stock box is { A, B, C, D }.

Step S104, determining the required number of new sowing boxes corresponding to the order set.

From the above description, it is known that the sowing boxes in the manual sowing workstation play a role of collecting orders, and if the required goods in a certain order cannot be collected in one sowing, the order is called an unfinished order, and the goods need to be replenished after waiting for the subsequent stock boxes to be taken out of the warehouse. After the order set is determined, the new sowing box demand number is determined together with the association condition of the incomplete orders and the sowing space demand required by each order, and the new sowing box demand number represents the total number of empty sowing boxes pre-occupied by the order set.

Step S106, under the condition that the required number of the new sowing boxes is equal to 0, the orders in the order set are all associated orders of the incomplete orders, and the site allocation strategy of the stock boxes is determined according to the positions of the allocated sowing boxes of all the incomplete orders.

If the number of new seeding boxes required for the order set is 0, that is, the new seeding boxes do not need to be occupied, the order in the order set is the associated order of the incomplete order, and the space of the allocated seeding box of each incomplete order meets the seeding space requirement of the associated order, that is, the allocated seeding box can accommodate the goods in the associated order. In this case, the box of each associated order in the set of orders is designated as the assigned box of its corresponding unfinished order, and the stock box is required to enter the workstation corresponding to the assigned box of the unfinished order to complete the seeding of the goods.

Thus, the station allocation strategy for the inventory box can be determined based on the locations of the allocated seed boxes for all outstanding orders. After the stock boxes enter the various workstations designated in the site allocation policy, the items of each order are sown by the workstation responsible person to the boxes designated by the order.

Step S108, when the number of the new sowing boxes is larger than 0, the new sowing positions in the necessary station are allocated preferentially, and if the new sowing positions in the necessary station do not meet the new sowing box requirement of the order set, the new sowing positions in the unnecessary station are allocated continuously.

If the required number of the new sowing boxes corresponding to the order set is greater than 0, the actual conditions (including the number of empty sowing boxes, the proportion of the goods types to boxes, the number of the allocated items and the distance between the stations and the distribution points of the inventory boxes) of all the work stations and the required number of the new sowing boxes are combined at the moment, and the station distribution strategy of the inventory boxes is determined according to the preset distribution principle provided by the embodiment of the invention. The preset allocation principle comprises the following steps: the stock box enters the station with the least times, the goods types in the station are gathered, and the number of empty sowing boxes between the stations is balanced. The above principle can be understood as: and preferentially distributing the new sowing positions in the necessary stations, and continuously distributing the new sowing positions in the unnecessary stations if the new sowing positions in the necessary stations do not meet the new sowing box requirements of the order set.

The necessary station represents a manual seeding workstation to which the allocated seeding boxes of the unfinished orders meeting the requirement of the seeding space of the associated orders belong; the non-invasive station is a manual sowing workstation other than the invasive station.

The principle that the number of times of entering the stock box is minimum can enable the stock box to reduce the number of entering the stock box as much as possible, so that the number of sowing items of the stock box for single entering is assisted to be increased; the in-station type aggregation principle is proposed because certain types of goods (e.g., instrument goods) contained in the service order are required to be independently ordered, i.e., the instrument goods are independently 1 order, and the goods in each stock bin are of the same type. Therefore, when distributing the sowing sites for the stock boxes, if the bundling distribution is performed according to the types of the stock boxes (namely, the types of goods in the stock boxes are the types of the stock boxes), the reduction of the cross-site number of the stock boxes and the increase of the number of single-arrival picking items are facilitated, and the picking efficiency of the sowing sites is improved. The principle of balancing the number of the empty sowing boxes in the station is to properly balance the workload.

The embodiment of the invention provides a station allocation method for a goods to a manual sowing workstation, which is used for preferentially allocating new sowing positions in a necessary station when the number of new sowing box requirements corresponding to an inventory box is larger than 0, and continuously allocating new sowing positions in a non-necessary station if the new sowing positions in the necessary station do not meet the new sowing box requirements of an order set. Wherein the necessary station point represents a manual seeding workstation to which an allocated seeding box of an unfinished order meeting the requirement of the seeding space of the associated order belongs; the non-invasive station is a manual sowing workstation other than the invasive station. The station allocation strategy provided by the invention can reduce the number of times of entering the stock box, and improve the number of sowing items of single entering of the stock box, thereby effectively relieving the technical problem of low working efficiency of the manual sowing work station in the existing station allocation method.

In an optional embodiment, the step S104 determines the required number of new sowing boxes corresponding to the order set, which specifically includes the following:

otherwise, determining the required quantity of the new sowing boxes according to the sowing space requirements of all target orders in the order set; wherein the target order represents an order of a non-designated seed box in the order set.

Specifically, to determine the required number of new sowing boxes corresponding to the order set, it is first required to determine whether the orders in the order set are all associated orders of incomplete orders, if so, it is further determined whether the allocated sowing boxes of each incomplete order can meet the sowing space requirement of the corresponding associated order, if so, the sowing box of each associated order in the order set is designated as the allocated sowing box of the corresponding incomplete order, that is, the required number of the new sowing boxes corresponding to the order set is 0.

In addition to the above, for example, the orders in the order set are all associated orders, but there is at least one of the allocated boxes of outstanding orders that cannot meet the seeding space requirement of the corresponding associated order, or, the orders in the order set are not all associated orders of outstanding orders (i.e., there is a new order), then the order set has a new seeding box requirement, and the number of new seeding box requirements needs to be determined according to the seeding space requirements of all the target orders in the order set. The target order represents an order for a seed box not specified in the order set. That is, the target order includes: the new order, the associated order corresponds to an order for which the allocated seed box for the unfinished order cannot meet its seed space requirement. In the embodiment of the invention, when the allocated sowing boxes of the incomplete orders corresponding to the associated orders can meet the sowing space requirement, the associated orders are non-target orders, namely, the non-target orders are orders with designated sowing boxes, and the designated sowing boxes are allocated sowing boxes of the incomplete orders corresponding to the associated orders.

Knowing the size of the goods and the size of the boxes, the sowing space requirements for each order can be determined, which in turn can determine the number of new boxes needed for each order. The required number of the new sowing boxes corresponding to the order set is the accumulated sum of the required number of the new sowing boxes of each order in the order set.

As can be seen from the above description, when the number of new sowing boxes is not equal to 0, the embodiment of the present invention needs to determine the station allocation policy of the stock boxes according to the preset allocation rule, where there are two cases, that is, there are associated orders of incomplete orders in the order set, and at least one of the allocated sowing boxes of the incomplete orders meets the sowing space requirement of the corresponding associated order, where the stock boxes must enter the workstation to which the allocated sowing boxes belong (i.e., the necessary station in the following); another case is that none of the orders in the order set specify a seed box, that is, there is no workstation that the stock box has to enter. This may be due to new orders in the set of orders, or to the fact that the allocated boxes of outstanding orders corresponding to the associated orders in the set of orders cannot meet the sowing space requirements of the associated orders. The site allocation methods in the above two cases are described in detail below, respectively.

In an alternative embodiment, as shown in fig. 2, in step S108, in the case where the number of new sowing boxes is greater than 0, the new sowing positions in the necessary stations are preferentially allocated, and specifically includes the following steps:

Step S1081, judging whether there is a target necessary-entering station in which the number of empty sowing boxes is greater than or equal to the required number of new sowing boxes in the necessary-entering station.

Wherein the point of must-enter represents a manual seeding workstation to which the assigned seeding boxes of outstanding orders meeting the associated order seeding space requirements belong.

If the target must-enter site number is unique, the following step S1082 is executed; if the number of the target necessary sites is greater than 1, the following step S1083 is executed; if not, the following step S1084 is performed.

Step S1082, distributing all new seed box demands to the target necessary station, and determining a station distribution strategy of the stock box based on all seed box positions corresponding to the order set.

Step S1083, sorting the target necessary-to-be-in stations in descending order based on the sowing box occupancy ratio of the target goods type in each target necessary-to-be-in station, distributing all new sowing box demands to the top-ranked stations, and determining the station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

Wherein the target item type represents a particular category of item type in the inventory box.

Step S1084, sorting the necessary-entry sites in descending order based on the ratio of the sowing boxes of the target goods type in each necessary-entry site, sequentially distributing new sowing box demands to each necessary-entry site in the sequence, and determining the site distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

Specifically, when it is determined that the stock box has the necessary station, in order to reduce the station entering times of the stock box as much as possible, the invention preferentially distributes new sowing box demands in the necessary station, so that it is firstly determined whether the necessary station has target necessary station entering points with the number of empty sowing boxes being greater than or equal to the number of the new sowing box demands, if so, all the new sowing box demands are distributed to the target necessary station entering points, and then the station distribution of the stock box is completed, and in this case, the stock box can complete the sowing of the order by only entering all the necessary station entering points.

If the number of destination drop sites is multiple, then to enable a certain degree of aggregation of various items, the inventory box cross-site number is reduced, and then all new drop box needs are preferentially allocated to the site with the largest drop box occupancy for the destination item type, which represents a particular item type in the inventory box. Optionally, the target item type is an instrumental item.

However, if there is no target necessary-entry site in the necessary-entry site where the number of empty boxes is greater than or equal to the number of new boxes required, that is, the individual necessary-entry sites cannot satisfy all the new boxes required, then the embodiment of the present invention needs to sequentially allocate the new boxes required to the necessary-entry site in the order in which the ratio of boxes of the target item type in the necessary-entry site is high, and determine the site allocation policy of the stock boxes based on all the boxes positions corresponding to the set of orders.

Specifically, when the individual station-entering-necessary points cannot meet the requirements of all new sowing boxes, in order to make the stock boxes minimize the need of entering the station, new order boxes are distributed as much as possible at the station-entering-necessary points, so that it is first determined whether the total amount of all the empty sowing boxes entering the station-necessary points is greater than or equal to the required amount of the new sowing boxes. That is, if the combined sowing of the multiple necessary-to-be-planted sites can meet all new sowing box demands, then the cross-site distribution is performed, in order to reduce the cross-site quantity, the necessary-to-be-planted sites are firstly ordered according to the order of the sowing box duty ratio of the target goods type from high to low, then the new sowing box demands are sequentially distributed to the necessary-to-be-planted sites according to the order, specifically, in the distribution process, when the number of the empty sowing boxes of the necessary-to-be-planted sites of the first rank is reduced to 0, the rest new sowing box demands are distributed to the necessary-to-be-planted sites of the second rank, and the like until all the new sowing box demands are distributed.

In an alternative embodiment, in the step S108, if the new sowing position in the station is not satisfied with the new sowing case requirement of the order set, the new sowing position in the station is continuously allocated, which specifically includes the following steps:

Step S10843, judging whether the total amount of empty sowing boxes of all the manual sowing work stations is larger than or equal to the required amount of new sowing boxes.

If so, the following step S10844 is performed; if it is smaller than, the following step S10845 is performed.

Step S10844, the sowing boxes in the mandatory site are preferentially occupied, the unallocated remaining sowing box demands are allocated to the non-mandatory site based on the preset rule, and the site allocation strategy of the stock boxes is determined based on all the sowing box positions corresponding to the order set.

Step S10845, determining a site allocation strategy of the stock boxes to fill the empty sowing boxes of all the manual sowing workstations, and refluxing the stock boxes corresponding to the orders of the unassigned sowing boxes, and reassigning the sowing boxes in the next allocation period.

If the total amount of the empty sowing boxes of all the necessary stations is smaller than the required amount of the new sowing boxes, the unnecessary stations are also included in the distribution range of the new sowing boxes, and whether the total amount of the empty sowing boxes of all the manual sowing workstations (necessary station+unnecessary station) is larger than or equal to the required amount of the new sowing boxes is judged at the moment, if so, after the sowing boxes of all the necessary stations are fully occupied, the unallocated residual sowing box requirements are distributed to the unnecessary stations based on a preset rule; if not, the requirement that a part of new sowing boxes are left can not be distributed is indicated, so that the stock boxes need to enter all the work stations with the empty sowing boxes, the orders with the designated sowing boxes are sown according to the requirement, and the orders without the designated sowing boxes are randomly sown until the empty sowing boxes of all the manual sowing work stations are full, and the orders without the assigned sowing boxes are refluxed to enter the next distribution period.

In an alternative embodiment, in step S10844, the allocating the unallocated remaining planting box demands to the unnecessary station based on the preset rule specifically includes the following steps:

and step S108441, judging whether the target unnecessary station is in which the number of the empty sowing boxes is larger than or equal to the required number of the residual sowing boxes.

If the target non-necessary sites exist and the number of the target non-necessary sites is unique, the following step S108442 is executed; if the number of the target unnecessary sites is greater than 1, the following step S108443 is performed; if not, the following step S108444 is performed.

Step S108442, all remaining seed box requirements are assigned to the target unnecessary site.

And step S108443, sorting all target unnecessary stations based on a preset sorting rule, and distributing all the remaining sowing box demands to the top-ranked stations.

The priority order of the plurality of sequencing rules in the preset sequencing rules is sequentially from high to low: and sorting from large to small after the ratio of the station empty bin number to a preset threshold value is rounded downwards, sorting from high to low the ratio of the seeding bin of the target goods type, sorting from small to large the number of the allocated items of the station, and sorting from near to far the distance between the allocation points of the stock bins and the station.

Step S108444, sorting all unnecessary stations based on a preset sorting rule to sequentially distribute the remaining sowing case demands to the unnecessary stations.

When the empty sowing boxes occupying the unnecessary station are needed, in order to reduce the number of crossing stations, firstly judging whether target unnecessary station points with the number of the empty sowing boxes being greater than or equal to the required number of the residual sowing boxes exist in the unnecessary station, if so, distributing all the residual sowing boxes to the target unnecessary station points, and further completing station distribution of the stock boxes. In this case, the stock box must enter not only all the necessary stations but also the target unnecessary station to complete the seeding of the order.

If the number of the target unnecessary stations meeting the condition is a plurality of, the embodiment of the invention needs to sort the unnecessary stations according to the preset sorting rule, and then distributes all the remaining sowing box demands to the top-ranked stations. In a preset ordering rule, taking a value obtained by rounding down the ratio of the station empty box number to a preset threshold value as a first priority, and ordering the larger the calculation result is, the more forward. According to the embodiment of the invention, the value obtained by rounding down the ratio of the station empty box number to the preset threshold value is used for replacing the station empty box number in the traditional method, so that the influence degree of the empty box number on the whole distribution result can be adjusted after setting, and the distribution result can be greatly influenced by suboptimal factors. For example, if the number of empty boxes of the workstation 1 is 5, the number of empty boxes of the workstation 2 is 8, and the preset threshold is 10, the factors of the number of empty boxes of the stations in the allocation of the workstation 1 and the workstation 2 are regarded as the same, and if the number of empty boxes of the stations is directly used as the sorting basis, the workstation 2 is arranged in front of the station 1.

If the first priorities of all the unnecessary stations are the same, ordering all the unnecessary stations by using a rule of a second priority, wherein the second priority is the sowing box duty ratio of the target goods type, and the larger the duty ratio, the earlier the ordering is, so that the goods types are gathered. If the second priority is the same, a third priority determination is entered, wherein the third priority is the number of the allocated items of the station, and the smaller the number is, the earlier the ordering is, so as to balance the workload. The number of allocated entries represents the sum of the number of items of all orders within a station, e.g., if a box in a workstation corresponds to orders a, B, C, and the a order includes 4 items, the B order includes 4 items, and the C order includes 1 item, then the station of that workstation has allocated a number of items of 4+4+1=9.

If the third priority is the same, all unnecessary stations are ordered by using the rule of the fourth priority, and the reason for this is that all stations are not allocated any sowing bit when the operation is started, and then the first three priority calculation results are the same, so that the rest sowing demands are preferentially allocated to the stations close to the allocation point of the stock box.

If the target unnecessary-entering station point with the number of the empty sowing boxes being greater than or equal to the number of the residual sowing box demands does not exist in the unnecessary-entering station point, namely, the independent unnecessary-entering station point cannot meet all the residual sowing box demands, and the total number of the empty sowing boxes of all the unnecessary-entering station points is greater than or equal to the number of the residual sowing box demands, then the residual sowing box demands are distributed to the unnecessary-entering station point in sequence according to the determined sequence after all the unnecessary-entering station points are ordered according to the preset ordering rule based on the principles of minimum stock box entering times, in-station goods type aggregation and balanced number of the empty sowing boxes between stations.

Specifically, in the distribution process, when the number of the unnecessary-entering stations with the first rank is reduced to 0, the rest of the sowing box demands are distributed to the unnecessary-entering stations with the second rank, and the like until all the rest of the sowing box demands are distributed.

In an alternative embodiment, in the case that none of the orders in the order set specify a seeding box, step S108 above determines a station allocation policy of the stock box according to a preset allocation rule, and specifically includes the following steps:

step S108a, judging whether target sites with the number of empty sowing boxes being greater than or equal to the required number of new sowing boxes exist in all the manual sowing work stations.

If the target site exists and the number of the target sites is unique, the following step S108b is executed; if the number of the target sites is greater than 1, the following step S108c is performed; if not, the following step S108d is performed.

Step S108b, distributing all new sowing box demands to the target site, and determining a site distribution strategy of the stock box based on all sowing box positions corresponding to the order set.

Step S108c, sorting all target sites based on a preset sorting rule, distributing all new sowing box demands to the top-ranked sites, and determining a site distribution strategy of the inventory boxes based on all sowing box positions corresponding to the order set.

And step S108d, judging whether the total amount of empty sowing boxes of all the manual sowing work stations is larger than or equal to the required amount of new sowing boxes.

If the value is greater than or equal to the preset value, the following step S108e is executed; if it is smaller than the above, the following step S108f is performed.

Step S108e, sorting all the manual sowing work stations based on a preset sorting rule so as to sequentially distribute new sowing box demands to the manual sowing work stations, and determining a station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

And step S108f, determining a site allocation strategy of the stock boxes to fill the empty sowing boxes of all the manual sowing workstations, reflowing the stock boxes corresponding to the orders of the unassigned sowing boxes, and reassigning the sowing boxes in the next allocation period.

When the orders in the order set do not specify the sowing boxes, the fact that the stock boxes do not need to enter the stations is indicated, so that in order to reduce the number of cross stations, whether all the target stations with the number of empty sowing boxes being larger than or equal to the number of new sowing box demands exist in all the manual sowing work stations is firstly judged, if yes, all the new sowing box demands are distributed to the target stations, and then station distribution of the stock boxes is completed.

If the number of the target stations is a plurality of, the purposes of minimum stock box entering times, in-station goods type aggregation and balance of the number of empty sowing boxes among stations are achieved.

If the target station meeting the conditions does not exist, multi-workstation combined sowing is needed to be considered, at the moment, whether the total quantity of empty sowing boxes of all the manual sowing workstations is larger than or equal to the required quantity of new sowing boxes is judged, if so, all the manual sowing workstations are ordered according to a preset ordering rule so as to sequentially distribute the new sowing box requirements to the manual sowing workstations, and when the new sowing boxes are distributed, after the sowing boxes of the workstations with the front ordering are fully occupied, the sowing requirements are distributed to the workstations with the rear ordering, so that the number of the cross-over stations is reduced as much as possible.

If the total amount of empty sowing boxes of all the manual sowing work stations is smaller than the required amount of the new sowing boxes, the explanation is that a part of new sowing box requirements cannot be distributed, so that the stock boxes need to enter all work stations with the empty sowing boxes, and because the order in the order set does not specify the sowing boxes, random sowing can be carried out until the empty sowing boxes of all the manual sowing work stations are full, and the order of the unassigned sowing boxes is refluxed to enter the next distribution period.

In summary, the station allocation method for the manual sowing work station for goods uses the principles of minimum times of entering the station of the stock boxes, accumulation of goods types in the station and balance of the number of empty sowing boxes between stations to carry out algorithm design, so that the stock boxes are unnecessary to cross the station, and under the condition that the number of empty boxes of each station is different in a certain range, the varieties are accumulated, so that the commodities of different varieties are accumulated to a certain extent, the number of the cross-station of the stock boxes is well reduced, the number of sowing items of the stock boxes entering the station at a time is increased, and further the sowing operation efficiency is improved.

Example two

The embodiment of the invention also provides a site distribution device for the goods to the manual sowing work station, which is mainly used for executing the method provided by the first embodiment, and the site distribution device for the goods to the manual sowing work station provided by the embodiment of the invention is specifically introduced.

Fig. 3 is a functional block diagram of a station distribution device for a goods-to-manual sowing workstation according to an embodiment of the present invention, and as shown in fig. 3, the device mainly includes: an acquisition module 10, a first determination module 20, a second determination module 30, a third determination module 40, wherein:

the acquiring module 10 is configured to acquire an order set corresponding to an item in a currently pending inventory box.

The first determining module 20 is configured to determine a required number of new sowing boxes corresponding to the order set.

And a second determining module 30, configured to determine a site allocation policy of the inventory box according to positions of allocated seed boxes of all outstanding orders, where the number of new seed boxes required is equal to 0, and the orders in the order set are all associated orders of the outstanding orders.

And a third determining module 40, configured to preferentially allocate the new sowing bit in the mandatory site if the number of new sowing box requirements is greater than 0, and if the new sowing bit in the mandatory site does not meet the new sowing box requirements of the order set, continue to allocate the new sowing bit in the non-mandatory site.

The embodiment of the invention provides a station distribution device for a goods-to-manual sowing workstation, which is used for preferentially distributing new sowing positions in a necessary station when the number of new sowing box requirements corresponding to an inventory box is larger than 0, and continuously distributing new sowing positions in a non-necessary station if the new sowing positions in the necessary station do not meet the new sowing box requirements of an order set. Wherein the necessary station point represents a manual seeding workstation to which an allocated seeding box of an unfinished order meeting the requirement of the seeding space of the associated order belongs; the non-invasive station is a manual sowing workstation other than the invasive station. The station allocation strategy provided by the invention can reduce the number of times of entering the stock box, and improve the number of sowing items of single entering of the stock box, thereby effectively relieving the technical problem of low working efficiency of the manual sowing work station in the existing station allocation method.

Optionally, the first determining module is specifically configured to:

Optionally, the third determining module 40 includes:

and the first judging unit is used for judging whether the target necessary station exists in the necessary station, and the number of the empty sowing boxes is larger than or equal to the required number of the new sowing boxes.

And the first determining unit is used for distributing all new sowing box demands to the target necessary station under the condition that the existence of the target necessary station is determined to be unique in number, and determining the station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

The second determining unit is used for sorting the target necessary-entering stations in a descending order based on the sowing box proportion of the target goods type in each target necessary-entering station under the condition that the number of the target necessary-entering stations is larger than 1, distributing all new sowing box demands to the stations with the top ranking, and determining a station distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set; wherein the target item type represents a particular category of item type in the inventory box.

And the third determining unit is used for sorting the mandatory-entry sites in descending order based on the proportion of the sowing boxes of the target goods type in each mandatory-entry site under the condition that the non-existence is determined, sequentially distributing new sowing box demands to each mandatory-entry site in the sequence, and determining the site distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set.

Optionally, the target item type is an instrument item.

The third determining module 40 further includes:

and the second judging unit is used for judging whether the total amount of the empty sowing boxes of all the manual sowing work stations is larger than or equal to the required amount of the new sowing boxes.

And the fourth determining unit is used for preferentially occupying the sowing boxes in the necessary-entering stations under the condition that the sowing boxes are determined to be larger than or equal to the predetermined rule, distributing the unallocated residual sowing box demands to the unnecessary-entering stations based on the predetermined rule, and determining the station distribution strategy of the stock boxes based on all the sowing box positions corresponding to the order set.

And a fifth determining unit, configured to determine, when the station allocation policy of the stock boxes is determined to be smaller than the predetermined threshold, that the empty sowing boxes of all the manual sowing workstations are full, and to reflux the stock boxes corresponding to the orders of the non-allocated sowing boxes, and to redistribute the sowing boxes in the next allocation period.

Optionally, the fourth determining unit is specifically configured to:

and judging whether a target unnecessary station entering site with the number of empty sowing boxes being larger than or equal to the required number of the residual sowing boxes exists in the unnecessary station entering site.

If so, and the number of target non-access sites is unique, then all remaining seed box requirements are assigned to the target non-access sites.

If the number of the target unnecessary-entering stations is larger than 1, sorting all the target unnecessary-entering stations based on a preset sorting rule, and distributing all the remaining sowing box demands to the stations with the top rank; the priority order of the plurality of sequencing rules in the preset sequencing rules is sequentially from high to low: and sorting from large to small after the ratio of the station empty bin number to a preset threshold value is rounded downwards, sorting from high to low the ratio of the seeding bin of the target goods type, sorting from small to large the number of the allocated items of the station, and sorting from near to far the distance between the allocation points of the stock bins and the station.

And if the sowing box is not in existence, sorting all the unnecessary stations based on a preset sorting rule so as to sequentially distribute the requirements of the rest sowing boxes to the unnecessary stations.

Optionally, the third determining module 40 is further configured to:

and judging whether all the artificial sowing work stations have target sites with the number of empty sowing boxes being greater than or equal to the required number of new sowing boxes.

If the new sowing box is present and the number of the target stations is unique, all new sowing box demands are distributed to the target stations, and a station distribution strategy of the stock boxes is determined based on all sowing box positions corresponding to the order set.

If the number of the target sites is greater than 1, sequencing all the target sites based on a preset sequencing rule, distributing all new sowing box demands to the top-ranked sites, and determining a site distribution strategy of the stock boxes based on all sowing box positions corresponding to the order set; the priority order of the plurality of sequencing rules in the preset sequencing rules is sequentially from high to low: and sorting from large to small after the ratio of the station empty bin number to a preset threshold value is rounded downwards, sorting from high to low the ratio of the seeding bin of the target goods type, sorting from small to large the number of the allocated items of the station, and sorting from near to far the distance between the allocation points of the stock bins and the station.

If not, judging whether the total amount of the empty sowing boxes of all the manual sowing work stations is larger than or equal to the required amount of the new sowing boxes.

And if the order is greater than or equal to the preset order, ordering all the manual sowing work stations based on a preset ordering rule so as to sequentially distribute new sowing box demands to the manual sowing work stations, and determining a station distribution strategy of the stock boxes based on all the sowing box positions corresponding to the order set.

If the order is smaller than the preset value, determining a site allocation strategy of the stock boxes to fill the empty sowing boxes of all the manual sowing workstations, reflowing the stock boxes corresponding to the orders of the unassigned sowing boxes, and reassigning the sowing boxes in the next allocation period.

Example III

Referring to fig. 4, an embodiment of the present invention provides an electronic device, including: a processor 60, a memory 61, a bus 62 and a communication interface 63, the processor 60, the communication interface 63 and the memory 61 being connected by the bus 62; the processor 60 is arranged to execute executable modules, such as computer programs, stored in the memory 61.

The memory 61 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is achieved via at least one communication interface 63 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc.

Bus 62 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.

The memory 61 is configured to store a program, and the processor 60 executes the program after receiving an execution instruction, and the method executed by the apparatus for defining a process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 60 or implemented by the processor 60.

The processor 60 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in the processor 60. The processor 60 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 61 and the processor 60 reads the information in the memory 61 and in combination with its hardware performs the steps of the method described above.

The embodiment of the invention provides a computer program product for a site allocation method and a site allocation device for a goods to a manual sowing workstation, which comprises a computer readable storage medium storing non-volatile program codes executable by a processor, wherein the instructions included in the program codes can be used for executing the method described in the previous method embodiment, and specific implementation can be seen in the method embodiment and will not be repeated here.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.

In the description of the present invention, it should be noted that, directions or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., are directions or positional relationships based on those shown in the drawings, or are directions or positional relationships conventionally put in use of the inventive product, are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.

Furthermore, the terms "horizontal," "vertical," "overhang," and the like do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.

In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims

1. A station allocation method for a cargo to a manual seeding station, comprising:

2. The station allocation method for goods to manual sowing workstations as in claim 1, wherein determining a new sowing case demand number corresponding to said order set comprises:

3. The station allocation method for goods to manual sowing work stations as in claim 1, wherein said preferentially allocating new sowing bits in the necessary stations comprises:

4. A station allocation method for goods to manual seeding workstations according to claim 3, wherein the target goods type is an instrumental goods.

5. A station allocation method for a cargo to manual seed station according to claim 3, wherein if the new seed in the must-enter station does not meet the new seed box requirement of the order set, continuing to allocate new seed in the not-must-enter station, comprising:

6. The station allocation method for goods to manual sowing work stations as in claim 5, wherein allocating the unallocated remaining sowing case demands to the unnecessary station based on a preset rule comprises:

7. The station allocation method for goods to manual sowing workstations as in claim 1, wherein in the event that none of the orders in the set of orders specify a sowing box, determining a station allocation policy for the stock box according to a preset allocation rule comprises:

8. A station distribution apparatus for use in a hand-seeding station, comprising:

the second determining module is used for determining a station allocation strategy of the stock boxes according to the positions of all allocated sowing boxes under the condition that the required number of the new sowing boxes is equal to 0;

9. An electronic device comprising a memory, a processor, the memory having stored thereon a computer program executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the site allocation method for a goods-to-artificial seeding workstation as claimed in any one of claims 1 to 7.

10. A computer readable storage medium storing computer instructions which when executed by a processor implement the site allocation method for a goods-to-artificial seeding workstation of any one of claims 1 to 7.