CN114418486A - Wave-time planning method for parallel relay picking - Google Patents
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Abstract
The invention discloses a wave-order planning method for parallel relay picking, which comprises the steps of firstly, acquiring commodity pools waiting for picking in each working area, then processing the commodity pools in the working areas through a task planning strategy, and splitting a picking task in the current working area into an independent task unit set and a relay task unit set; processing the commodity pool based on the same-region task planning strategy, and calculating to obtain an independent task unit set; summarizing and processing the rest commodity pools based on the different-region task planning strategy to obtain a relay task unit set; the independent task unit picking personnel directly take and start picking the goods without waiting for the completion of the upstream task, and the relay task unit set needs to be matched with other working areas to execute relay picking. According to the invention, the independent task unit set and the relay task unit set are distinguished and calculated, the independent task units are directly taken to operate in a multi-stage downstream working area without waiting for the task completion of an upstream working area, so that the waiting time of goods picking personnel is reduced, and the human efficiency of a warehouse is improved.
Description
Technical Field
The invention belongs to the technical field, and particularly relates to a wave number planning method for parallel relay picking.
Background
In the existing storage relay picking operation, picking tasks are generally divided according to working areas, one picking task is arranged in each working area, and the flow sequence of the relay tasks is further limited according to the upstream and downstream relations of the working areas, so that the picking tasks in the downstream working areas can start only after the upstream picking is finished.
The related art has at least the following problems that the warehouse is large in size, and under the condition that the delivery amount of each order is high, in the warehousing operation of the related art, the picking of the downstream working area depends on the end of the upstream working area, so that different working areas can pick the orders in parallel, but because the processes depend on the processes, the multi-stage downstream working area has to wait for the end of picking of all the upstream working areas to pick the orders, so that the work efficiency of picking personnel is low.
Disclosure of Invention
The technical problems solved by the invention are as follows: a wave time planning method for parallel relay picking is provided.
The technical scheme is as follows: in order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a wave time planning method for parallel relay picking comprises the following steps:
s1: acquiring commodity pools waiting for picking in each working area, processing the commodity pools in the working areas through a task planning strategy, and splitting a picking task in the current working area into an independent task unit set and a relay task unit set;
s2: processing the commodity pool based on the same-region task planning strategy, calculating to obtain an independent task unit set, and removing the processed commodities from the commodity pool;
s3: summarizing and processing the rest commodity pools based on the different-region task planning strategy to obtain a relay task unit set;
s4: for the independent task units, the picking personnel directly take and start picking without waiting for the completion of the upstream task, and for the relay task unit set, the relay picking is carried out by matching with other working areas.
Further, in step S2, the specific implementation steps of processing the commodity pool based on the same-region task planning policy and calculating to obtain the independent task unit set include:
s21: calculating to obtain the occupancy rate of the single-item container of each commodity based on the commodity specification information in the commodity pool;
s22: grouping the commodity pools in the current working area according to commodity types, and calculating to obtain the total container occupancy rate of the current commodity group according to the single-item container occupancy rate of the commodities;
s23: calculating to obtain the number of estimated independent task units in the current working area based on the commodity pool in the current working area;
s24: performing initial filling of the independent task unit based on the total occupancy rate of the commodity group container and the occupancy rate of the single-item container;
s25: and performing subsequent filling of the independent task units based on the unit matching degree of each kind of remaining commodities in the commodity pool and the estimated independent task unit set.
Further, in step S21, the estimated occupied volume and weight of the commodity are calculated based on the weight, volume or actual occupancy rate attribute maintained by the commodity, and then percentage calculation is performed on a preset container specification threshold according to the container occupancy characteristic attribute maintained by the commodity, so as to serve as the single-item container occupancy rate of the commodity.
Further, in step S22, if the total container occupancy rate is greater than 100%, the current commodity group is split until the total container occupancy rates of all commodity groups are less than 100%.
Further, in step S23, the total volume and the total weight of the current goods waiting for picking are calculated according to the goods specification information in the goods pool, and compared with the preset container unit specification threshold, the maximum value is taken as the estimated number of independent task units.
Further, in step S24, according to the categories of the commodities in the commodity pool in the current working area, the commodities are arranged in the descending order of the occupancy rate of the commodity single item, the commodity groups larger than the preset occupancy threshold value of the single item container are taken out, and the blank independent task units in the estimated independent task unit set are sequentially filled.
Further, if it is estimated that blank independent task units still exist in the independent task unit set, the blank independent task units are sequentially taken out and filled in according to the sequence from large to small of the total container occupancy rate of the commodity group until no blank independent task unit exists.
Further, in step s3, the specific method for obtaining the relay task unit set by summarizing and processing the remaining commodity pools based on the inter-regional task planning strategy includes the following steps:
s31: summarizing the residual commodities in the commodity pools of different working areas after the same-area task planning strategy processing to obtain a residual total commodity pool and marking the commodity attribution working area;
s32: calculating the predicted relay task unit number based on the predicted total volume and the predicted total weight of the remaining total commodity pool;
s33: grouping according to the commodity pools of different areas, and calculating to obtain the total container occupancy rate of each commodity group;
s34: performing initial filling of the relay task unit based on the total occupancy rate of the commodity group container and the occupancy rate of the single item container;
s35: performing subsequent filling of the relay task units based on the unit matching degree of the residual commodities in the commodity pool and the estimated relay task unit set;
s36: and after the execution is finished, the relay task chains in the relay task units are subjected to priority sequencing according to the upstream and downstream flow directions of the working area.
Further, in step S35, the estimated relay task unit is matched according to the commodity attributes in the total commodity pool, and the matched relay task unit is added to the relay task chain of the relay task unit and is attached with the work area mark of the commodity group.
Has the advantages that: compared with the prior art, the invention has the following advantages:
the invention processes the commodity pool in the working area through a task planning strategy, and divides the picking task in the current working area into an independent task unit set and a relay task unit set. Due to the distinguishing calculation of the independent task unit set and the relay task unit set, the multi-stage downstream working area does not need to wait for the task of the upstream working area to be finished, and the independent task units are directly taken for operation, so that the waiting time of goods picking personnel is reduced, and the human efficiency of a warehouse is improved.
The invention is based on the calculation of the independent task unit set, so that the picking personnel can directly pick and start picking without waiting for the completion of the task of the upstream work area, the work efficiency is improved, the filling priority ranking calculation of the total occupancy rate of the commodity group and the occupancy rate of the single-item container is considered, the picking container can accommodate more commodities under different commodity types, and the picking rate of the container is improved.
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Fig. 1 is a flow chart of a wave-order planning method for parallel relay picking.
Detailed Description
The present invention will be further illustrated by the following specific examples, which are carried out on the premise of the technical scheme of the present invention, and it should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, a multiple planning method for parallel relay picking includes the steps of firstly obtaining commodity pools waiting for picking in each work area, processing the commodity pools in the work areas through a task planning strategy, splitting a picking task in a current work area into an independent task unit set and a relay task unit set, wherein the relay task unit set needs to be matched with other work areas to execute relay picking, and independent task unit set picking personnel can directly pick and start picking without waiting for finishing an upstream task. The goods containing rate of the independent task unit and the relay task unit is less than or equal to the maximum goods containing rate of the preset container, namely the total volume and the total weight of the goods contained in the independent task unit and the relay task unit are less than or equal to the maximum volume threshold and the maximum bearing capacity of the preset goods picking container. The method comprises the following steps:
s1: obtaining commodity pools waiting for picking in each working area, wherein the quantity of commodities in the commodity pools is an integer greater than or equal to 1;
and acquiring a delivery order set of goods to be picked in each working area, summarizing goods to be picked in the delivery order set, and acquiring a goods pool to be picked in each working area.
For example, the warehouse has a work area W1 and a work area W2, and the warehouse-out order commodities waiting for picking in each work area are collected to obtain a commodity pool waiting for picking S1 corresponding to the work area W1 and a commodity pool waiting for picking S2 corresponding to the work area W2.
The invention processes the commodity pool in the working area through a task planning strategy, and divides the picking task in the current working area into an independent task unit set and a relay task unit set:
s2: and processing the commodity pool based on the same-region task planning strategy, calculating to obtain an independent task unit set, and removing the processed commodities from the commodity pool.
The method comprises the following specific steps of processing a commodity pool based on a same-region task planning strategy, and calculating to obtain an independent task unit set:
s21: based on the commodity specification information in the commodity pool, calculating the container occupancy rate (namely the single-item container occupancy rate) of each commodity:
aiming at the commodity category in the commodity pool of the current working area, calculating to obtain the estimated occupied volume and weight of the commodity based on the attributes such as the weight, the volume, the actual volume occupancy rate and the like maintained by the commodity, wherein the actual volume occupancy rate is changed according to the actual form change of the commodity; and performing percentage calculation on a preset container specification threshold value based on the container occupation characteristic attribute maintained by the commodity to serve as the single-item container occupancy rate of the commodity.
For example, if the container occupancy characteristic attribute of the warehouse maintenance commodity category a is weight, the weight of the single product of the acquisition commodity category a is 0.5kg, and the maximum load of the picking container is 5kg, the occupancy rate of the single product container of the commodity category a is 0.5/5-10%.
S22: grouping the commodity pools in the current working area according to commodity types, and calculating to obtain the total container occupancy rate of the current commodity group based on the commodity container occupancy rate, wherein the total container occupancy rate is not more than 100%:
and (3) grouping the commodity types based on the commodity pool, and calculating to obtain the total occupancy rate of each commodity container, wherein if the total occupancy rate of the container is more than 100%, the current commodity group is split until the total occupancy rate of the containers of all the commodity groups is lower than 100%.
For example, in the commodity category a, 23 commodities a waiting for picking in the commodity pool exist, the occupancy rate of a single-product container is 10%, the total occupancy rate of the containers of the commodity group a after grouping according to the commodity category a is 230%, the total occupancy rate of the containers of the group a is more than 100%, the group a is split into a commodity group a-1, a commodity group a-2 and a commodity group a-3, wherein the occupancy rates of the containers of the commodity group a-1 and the commodity group a-2 are 100%, and the occupancy rate of the containers of the commodity group a-3 is 30%.
S23: calculating to obtain the estimated independent task unit number K of the current working area based on the commodity pool of the current working area: and calculating the total volume and the total weight of the current goods waiting for picking according to the goods specification information in the goods pool, comparing the total volume and the total weight with the preset container unit specification threshold value, and taking the maximum value as the estimated independent task unit number K.
For example, the volume of a single commodity in the commodity pool in the current working area is V, the weight is M, the maximum volume of the preset picking container unit is c, the maximum bearing capacity is M, and the estimated number K of the independent task units is, for example:
K＝max(∑V/c，∑M/m)
for example, the total volume of the commodities in the current commodity pool of the working area is 10m3The total weight is 20kg, and the maximum volume of the preset goods picking container unit is 1m3The maximum load is 5kg, and the calculated k is max (10/1, 20/5) is 10 predicted independent task units.
S24: performing initial filling of the independent task units based on the total occupancy rate of the commodity group container and the occupancy rate of the single-item container:
based on the commodity categories in the commodity pool of the current working area, arranging the commodities according to the commodity single occupancy rate from large to small, taking out the commodity groups larger than the preset single container occupancy threshold value, and sequentially filling the commodity groups into blank independent task units in the estimated independent task unit set; if the estimated independent task unit set still has blank independent task units, the blank independent task units are sequentially taken out and filled in until no blank independent task unit exists according to the sequence of the total container occupancy rates of the commodity groups from large to small.
For example, the number of estimated independent task units in the current working area is 5, the preset single-item container occupancy threshold is 30%, the commodity single-item container occupancy rate of 3 commodity groups in the current commodity group is greater than 30%, blank estimated independent task units are sequentially filled, then the first 2 groups are taken according to the descending order of the total occupancy rate of the remaining commodity group containers, and the remaining 2 blank independent task units are filled.
S25: and performing subsequent filling of the independent task units based on the unit matching degree of each kind of remaining commodities in the commodity pool and the estimated independent task unit set. The unit matching degree is used for representing the matching degree of each commodity and the remaining cargo rate of the independent task unit. The specific method for the subsequent filling of the independent task unit is as follows:
(1) and arranging the commodity groups according to the commodity single occupancy rate from large to small, taking out the commodity groups larger than the preset single container filling threshold value, calculating and obtaining the independent task unit with the largest filling rate based on the estimated remaining cargo capacity in the independent task unit, and filling the independent task unit with the largest filling rate.
(2) After the single commodity group is processed, the commodities are arranged in the order of the total occupancy rates of the containers of the rest commodity groups from large to small, and the commodities are sequentially filled into the independent task units.
(3) If the occupancy rate of the container of the commodity group is larger than the remaining cargo rate of all the independent task units, the commodity group is divided into parts and filled into the independent task units until all the independent task units are filled.
For example, the warehouse presets that the single-item container filling threshold is 10%, the single-item occupancy rate of the commodity a is 10%, the single-item occupancy rate of the commodity b is 5%, and the commodity a is preferentially taken and filled into the independent task unit.
For example, the total container occupancy rate for commodity group A is 20%, the remaining stock ratio for individual task unit T1 is 30%, and the remaining stock ratio for individual task unit T2 is 40%, with commodity group A being preferentially filled in T1.
For example, if the total container occupancy rate of commodity group a is 20%, the remaining stock ratio of independent task unit T1 is 10%, the remaining stock ratio of independent task unit T2 is 10%, and commodity group a cannot be placed in its entire group in an independent task unit, commodity group a is split into a-1 and a-2, which are placed in T1 and T2, respectively.
The processing of the commodity pool based on the same-region task planning strategy, and the calculation of the independent task unit set further comprises the following steps of performing in a circulating manner under the condition that a preset condition is met: calculating whether the estimated total volume and the estimated total weight satisfy a container unit or not based on the commodities to be processed remaining in the commodity pool, if so, continuing the circulation, and if so, circulating S21: s25: and calculating and estimating the number L of independent task units, and determining the number of independent unit sets after execution is finished as K + L +.
S3: and summarizing and processing the rest commodity pools based on the different-region task planning strategy to obtain a relay task unit set. And the sum of the container occupancy rates of each unit of the independent task unit set and the relay task unit set is less than or equal to a preset sorting container specification threshold value.
The specific method for summarizing and processing the rest commodity pools based on the different-region task planning strategy to obtain the relay task unit set comprises the following steps of:
s31: and summarizing the residual commodities in the commodity pools of different working areas after the same-area task planning strategy processing to obtain a residual total commodity pool and marking the commodity attribution working area.
For example, the remaining commodity pool S1 of workspace W1, the remaining commodity pool S2 of workspace W2, and S1 and S2 are combined to obtain Stotal.
S32: calculating the predicted relay task unit number X based on the predicted total volume and the predicted total weight of the remaining total commodity pool;
s33: grouping according to the commodity pools of different areas, and calculating to obtain the total container occupancy rate of each commodity group;
s34: performing initial filling of the relay task unit based on the total occupancy rate of the commodity group container and the occupancy rate of the single item container;
s35: performing subsequent filling of the relay task units based on the unit matching degree of the residual commodities in the commodity pool and the estimated relay task unit set;
and matching and estimating the relay task unit according to the commodity attributes in the total commodity pool, adding the matched relay task unit to a relay task chain of the relay task unit, and attaching a working area mark of the commodity group.
For example, the relay task chain of the relay task unit T has 3 relay task elements X1, X2, and X3, where a working area of X1 is a, a working area of X2 is B, and a working area of X3 is C.
S36: and after the execution is finished, the relay task chains in the relay task units are subjected to priority sequencing according to the upstream and downstream flow directions of the working area.
After the relay task unit set is calculated, the priority ranking is performed on the relay task chains according to the priorities of the upstream and the downstream of the working area in the relay task chain in the relay task unit, for example, the flow direction of the working area is A- > B- > C, 2 relay task elements exist in the relay task chain in the relay task unit T, the working area of the relay task element X1 is A, the working area of the relay task element X2 is C, and the flow direction of the relay task chain is X1- > X2.
Step S3 is executed in a loop under the following preset conditions: : and calculating the estimated total product and the estimated total weight based on the commodities to be processed remaining in the remaining total commodity pool, circularly calculating the estimated task unit number Y until all commodities in the remaining total commodity pool are emptied, and determining the relay unit set number after the execution is finished as X + Y +.
S4: the independent task unit can be directly picked and started by the picking personnel without waiting for the completion of the upstream task.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A wave time planning method for parallel relay picking is characterized by comprising the following steps:
s1: acquiring commodity pools waiting for picking in each working area, processing the commodity pools in the working areas through a task planning strategy, and splitting a picking task in the current working area into an independent task unit set and a relay task unit set;
s2: processing the commodity pool based on the same-region task planning strategy, calculating to obtain an independent task unit set, and removing the processed commodities from the commodity pool;
s3: summarizing and processing the rest commodity pools based on the different-region task planning strategy to obtain a relay task unit set;
s4: for the independent task units, the picking personnel directly take and start picking without waiting for the completion of the upstream task, and for the relay task unit set, the relay picking is carried out by matching with other working areas.
2. The wave-time planning method for parallel relay picking according to claim 1, wherein in step S2, the specific implementation steps of processing the commodity pool based on the same-area task planning strategy and calculating to obtain the independent task unit set are as follows:
s21: calculating to obtain the occupancy rate of the single-item container of each commodity based on the commodity specification information in the commodity pool;
s22: grouping the commodity pools in the current working area according to commodity types, and calculating to obtain the total container occupancy rate of the current commodity group according to the single-item container occupancy rate of the commodities;
s23: calculating to obtain the number of estimated independent task units in the current working area based on the commodity pool in the current working area;
s24: performing initial filling of the independent task unit based on the total occupancy rate of the commodity group container and the occupancy rate of the single-item container;
s25: and performing subsequent filling of the independent task units based on the unit matching degree of each kind of remaining commodities in the commodity pool and the estimated independent task unit set.
3. The wave-time planning method for parallel relay picking according to claim 2, wherein in step S21, the estimated occupied volume and weight of the commodity are calculated based on the weight, volume or actual volume occupancy attributes maintained by the commodity, and then percentage calculation is performed on the preset container specification threshold according to the container occupancy characteristic attributes maintained by the commodity to serve as the single-item container occupancy of the commodity.
4. The wave-time planning method for parallel relay picking according to claim 2, wherein in step S22, if the total container occupancy rate is greater than 100%, the current commodity group is split until the total container occupancy rates of all commodity groups are lower than 100%.
5. The wave-time planning method for parallel relay picking according to claim 2, wherein in step S23, the total volume and the total weight of the current goods waiting for picking are calculated according to the goods specification information in the goods pool, and compared with the preset container unit specification threshold, and the maximum value is taken as the estimated number of independent task units.
6. The wave-time planning method for parallel relay picking according to claim 2, wherein in step S24, according to the categories of commodities in the commodity pool in the current working area, the commodities are arranged in the order of commodity single occupancy from large to small, the commodity groups larger than the preset single container occupancy threshold are taken out, and the blank independent task units in the estimated independent task unit set are sequentially filled.
7. The wave-time planning method for parallel relay picking according to claim 6, wherein if it is estimated that blank independent task units still exist in the independent task unit set, the blank independent task units are sequentially taken out and filled in according to the order from large to small of the total container occupancy rates of the commodity groups until no blank independent task unit exists.
8. The wave-time planning method for parallel relay picking according to claim 2, wherein in step S3, the specific method for obtaining the relay task unit set by summarizing and processing the remaining commodity pools based on the inter-regional task planning strategy includes the following steps:
s31: summarizing the residual commodities in the commodity pools of different working areas after the same-area task planning strategy processing to obtain a residual total commodity pool and marking the commodity attribution working area;
s32: calculating the predicted relay task unit number based on the predicted total volume and the predicted total weight of the remaining total commodity pool;
s33: grouping according to the commodity pools of different areas, and calculating to obtain the total container occupancy rate of each commodity group;
s34: performing initial filling of the relay task unit based on the total occupancy rate of the commodity group container and the occupancy rate of the single item container;
s35: performing subsequent filling of the relay task units based on the unit matching degree of the residual commodities in the commodity pool and the estimated relay task unit set;
s36: and after the execution is finished, the relay task chains in the relay task units are subjected to priority sequencing according to the upstream and downstream flow directions of the working area.
9. The wave-time planning method for parallel relay picking according to claim 8, wherein in step S35, the estimated relay task unit is matched according to the commodity attributes in the total commodity pool, and after matching, the estimated relay task unit is added to the relay task chain of the relay task unit and is attached with the work area mark of the commodity group.
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