CN112036667A - Warehouse goods location optimization method, equipment, storage medium and device - Google Patents
Warehouse goods location optimization method, equipment, storage medium and device Download PDFInfo
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Abstract
The invention discloses a warehouse cargo space optimization method, equipment, a storage medium and a device, which are used for acquiring cargo information and warehouse area information of cargos to be received; searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information; acquiring the time and frequency for the goods to be received to enter and exit the warehouse; carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result; and selecting the optimal goods position corresponding to the goods to be received according to the sorting result. Because the available goods positions are subjected to priority sequencing according to the time and the frequency of goods to be received entering and exiting the warehouse, compared with the prior art, the invention efficiently finishes goods receiving and placing, and improves the efficiency of goods entering and exiting the warehouse.
Description
Technical Field
The invention relates to the field of automatic warehousing, in particular to a warehouse goods location optimization method, equipment, a storage medium and a device.
Background
At present, automatic warehousing becomes an important part in industrial application, the main equipment of the existing warehousing is an automatic three-dimensional warehouse, and the system mainly comprises a goods shelf, transmission equipment, storage equipment, a stacker, a control system, a communication system, a calculation management monitoring system and the like. When the goods position is optimized, when the state of the goods position is inconsistent with the goods position information in the management system database due to the fact that the system is interfered or other factors, the storage device of the management system needs to communicate with the upper computer repeatedly because the goods cannot be found, and the goods position is identified repeatedly, so that the efficiency of putting the goods into and out of a warehouse is low, and the goods are unreasonable to be collected and placed.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a warehouse cargo space optimization method, equipment, a storage medium and a device, and aims to solve the technical problems of how to efficiently finish cargo receiving and placing and improve cargo space distribution efficiency in the prior art.
In order to achieve the above object, the present invention provides a warehouse cargo space optimization method, which comprises the following steps:
acquiring goods information and warehouse area information of goods to be received;
searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information;
acquiring the time and frequency for the goods to be received to enter and exit the warehouse;
carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result;
and selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
Preferably, the step of searching for available cargo space information corresponding to the cargo to be received from the warehouse area information according to the cargo information includes:
determining a receiving area of the goods to be received according to the goods information and the warehouse area information;
acquiring the idle goods position information of the receiving area;
and matching the idle goods position information with the goods information, and determining available goods position information corresponding to goods to be received.
Preferably, the step of matching the free cargo space information with the cargo information and determining available cargo space information corresponding to the cargo to be received includes:
acquiring the cargo carrying capacity between the shelves corresponding to the free cargo space information;
judging whether the bearing capacity of the goods shelf and the bearing capacity near the goods shelf exceed the bearable threshold value of the goods shelf through a population algorithm according to the bearable capacity of the goods, and obtaining a judgment result;
determining a cargo space bearable threshold corresponding to the idle cargo space information according to the judgment result;
and matching the cargo information according to the cargo position bearable threshold value, and determining available cargo position information corresponding to the cargo to be received.
Preferably, the step of prioritizing the available cargo space information according to the warehousing entrance and exit time and the warehousing entrance and exit frequency and obtaining a ranking result includes:
acquiring a goods position number contained in the available goods position information;
determining a receiving priority value of the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency;
and carrying out priority sequencing according to the receiving priority value and the goods position number, and obtaining a sequencing result.
Preferably, the step of performing priority ranking according to the priority value and the cargo space number and obtaining a ranking result includes:
acquiring a cargo number corresponding to the cargo to be received;
matching the cargo numbers according to the receiving priority value, and obtaining a first matching result;
and carrying out priority sequencing on the goods position numbers according to the first matching result, and obtaining a sequencing result.
Preferably, before the step of prioritizing the cargo space numbers according to the first matching result and obtaining a ranking result, the method further includes:
acquiring the goods space use frequency contained in the available goods space information;
numbering the goods positions according to the goods position using frequency, and obtaining goods position numbers.
Preferably, the step of selecting the optimal cargo space corresponding to the cargo to be received according to the sorting result includes:
matching the goods position number according to the first matching result to obtain a second matching result;
and determining the optimal goods position corresponding to the goods to be received according to the second matching result.
In addition, to achieve the above object, the present invention further provides a warehouse cargo space optimization device, which includes a memory, a processor, and a warehouse cargo space optimization program stored in the memory and executable on the processor, wherein the warehouse cargo space optimization program is configured to implement the steps of warehouse cargo space optimization as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having a warehouse cargo space optimization program stored thereon, wherein the warehouse cargo space optimization program, when executed by a processor, implements the steps of the warehouse cargo space optimization method as described above.
In addition, in order to achieve the above object, the present invention further provides a warehouse cargo space optimization apparatus, including:
the information acquisition module is used for acquiring the cargo information and the warehouse area information of the cargo to be received;
the information searching module is used for searching the available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information;
the information acquisition module is also used for acquiring the time and frequency for the goods to be received to enter or exit the warehouse;
the information sorting module is used for carrying out priority sorting on the available goods space information according to the warehousing-in and warehousing-out time and the warehousing-in and warehousing-out frequency and obtaining a sorting result;
and the position selection module is used for selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
The method comprises the steps of obtaining goods information and warehouse area information of goods to be received; searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information; acquiring the time and frequency for the goods to be received to enter and exit the warehouse; carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result; and selecting the optimal goods position corresponding to the goods to be received according to the sorting result. Because the available goods positions are subjected to priority sequencing according to the time and the frequency of the goods to be received entering and exiting the warehouse, compared with the prior art, the invention efficiently finishes the goods receiving and the placing, and improves the goods position distribution efficiency.
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Fig. 1 is a schematic structural diagram of a warehouse cargo space optimization device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a warehouse cargo space optimization method of the present invention;
FIG. 3 is a schematic flow chart of a warehouse cargo space optimization method according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating a warehouse cargo space optimization method according to a third embodiment of the present invention;
fig. 5 is a block diagram illustrating a first embodiment of the warehouse cargo space optimizing apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a warehouse cargo space optimization device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the warehouse cargo space optimizing apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the warehouse cargo space optimization apparatus and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in FIG. 1, memory 1005, identified as one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a warehouse cargo space optimizer.
In the warehouse cargo space optimization device shown in fig. 1, the network interface 1004 is mainly used for connecting with a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the warehouse cargo space optimization device calls a warehouse cargo space optimization program stored in the memory 1005 through the processor 1001 and executes the warehouse cargo space optimization method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the warehouse goods location optimization method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the warehouse cargo space optimization method of the present invention, and proposes the first embodiment of the warehouse cargo space optimization method of the present invention.
In a first embodiment, the warehouse cargo space optimization method comprises the following steps:
step S10: and acquiring the goods information and the warehouse area information of the goods to be received.
It should be noted that the execution main body in this embodiment may be an automatic warehousing system, and the automatic warehousing system may be an automatic system composed of a high-rise three-dimensional shelf, a stacker, various types of forklifts, an in-out warehouse system, an unmanned transport vehicle, a control device, and peripheral devices. The control device may be a computer having functions of information selection, information screening, information search, and the like. The present embodiment and the following embodiments will be described below with reference to a computer as an execution subject.
It should be understood that the automatic storage system can fully utilize the storage space and realize the on-line control of the equipment, quickly and accurately process the articles on the first-in first-out principle and reasonably perform the inventory management and data processing. The automated warehousing system can continuously check expired or stocked products, prevent poor stockpiling and improve the management level.
It should be understood that the goods to be received may be goods which are determined to need to be repositioned when performing shelf sorting, or goods which need to be put in and out of a warehouse.
It can be understood that the cargo information may include information such as weight, number, type, size, and storage location of the cargo to be received, and the warehouse area information may include information such as shelf location information, shelf type, shelf bearable threshold range, and cargo space corresponding to the warehousing area, the buffer area, and the ex-warehouse area.
In specific implementation, the computer can acquire the goods information and the warehouse area information of the goods to be received according to a storage calling mode, and also can acquire the goods information and the warehouse area information of the goods to be received through a system inquiry mode.
Step S20: and searching the available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information.
It should be noted that the available cargo space information may be placeable cargo space information corresponding to the cargo to be received.
In a specific implementation, the computer may search, according to the goods information, available goods location information corresponding to the goods to be received from the warehouse area information, for example, the computer may determine a type of a shelf in the warehouse area information according to a type included in the goods information, for example, when the goods to be received are fresh food, the shelf should be a shelf with a refrigeration function corresponding to the fresh food. The computer may also determine the threshold range of the load capacity of the shelves included in the warehouse area information according to the size of the goods included in the goods information, for example, when the size of the goods to be received belongs to a larger size, the goods to be received needs to be received on the shelves of the larger size.
Step S30: and acquiring the time and frequency for the goods to be received to enter and exit the warehouse.
It should be noted that the warehouse-out can be a general name for organizing a series of work of warehouse-out of goods according to goods warehouse-out vouchers (bill of lading and manifest) issued by a business department or a deposit receipt unit, goods serial numbers, names, specifications, models, quantities and other items listed in the voucher. The warehousing and the ex-warehouse are opposite, and can be a process of storing goods into a warehouse, the time of warehousing the goods to be received can be the time of warehousing the goods to be received and the time of ex-warehouse, the time of warehousing the goods to be received can be the time of entering the warehouse for the first time, and the time of ex-warehouse can be the time of determining the time of ex-warehouse according to goods orders. The warehousing frequency can be the warehousing frequency/time of the goods to be received in and out in a period of time, such as: working for 6 days in a week, taking out of warehouse for 100 times, and warehousing for 80 times; (100+ 80)/6-30 times/day.
In specific implementation, the computer can obtain the warehouse entry and exit frequency of the goods from the historical data, and can also search the warehouse entry and exit time contained in the order corresponding to the goods to be received from the system.
Step S40: and carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result.
It should be noted that the sorting result may be a sorting result obtained by prioritizing the cargo space positions included in the available cargo space information according to the warehouse entry and exit time and the warehouse entry and exit frequency.
In the specific implementation, the computer can determine the warehouse-in and warehouse-out time and warehouse-in and warehouse-out frequency corresponding to the goods to be received in the order management system, and perform priority ordering on the available goods location information corresponding to the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency to generate an ordering result.
Step S50: and selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
It should be noted that the optimal cargo space may be the most suitable cargo space screened from the sorting result by the cargo to be received.
In the specific implementation, the computer screens out the most appropriate cargo space corresponding to the cargo to be received according to the sorting result, for example, if the cargo to be received is in and out of the warehouse in a compact time and the frequency of in and out of the warehouse is high, the position close to the exit or the entrance is preferentially screened out. For example: the sorting results corresponding to the goods to be received are sorted from small to large, such as 1, 2 and 3, wherein 1 is the lowest matching degree of the optimal goods position, and 3 is the highest matching degree of the optimal goods position, and the 3 is preferentially screened out to be used as the most appropriate goods position.
In the embodiment, the goods information and the warehouse region information of the goods to be received are obtained, and the available goods position information corresponding to the goods to be received is searched from the warehouse region information according to the goods information, so that the time for the goods to be received to enter or exit the warehouse and the frequency for the goods to be received to enter or exit the warehouse are obtained; and performing priority ranking on the available goods location information according to the in-out time and the in-out frequency, obtaining a ranking result, and selecting the optimal goods location corresponding to the goods to be received according to the ranking result. Because the available goods positions are subjected to priority sequencing according to the time and the frequency of the goods to be received entering and exiting the warehouse, the embodiment efficiently finishes goods receiving and placing compared with the prior art, and improves the goods position distribution efficiency.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of the warehouse cargo space optimization method according to the present invention, and the second embodiment of the warehouse cargo space optimization method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S20 includes:
step S201, determining a receiving area of the goods to be received according to the goods information and the warehouse area information.
The receiving area can be a goods receiving area, a storage area and a goods delivery area, and the goods receiving area can be an area for checking and preparing goods before warehousing; the storage area can be an area for storing goods after the goods are put into a warehouse; the delivery area may be an area where goods to be delivered are stored. The receiving area can be an area where a shelf corresponding to goods to be received is located, and the shelf can be determined according to information such as the type, weight and size of the goods to be received.
In specific implementation, the computer may determine the receiving area of the goods to be received according to the goods information of the goods to be received and the warehouse area information, for example, if the computer recognizes that the goods to be received need to be taken out of the warehouse, the computer needs to issue an instruction to the smart cart to carry the goods to be received to the receiving area of the warehouse-out area, and may also determine the corresponding warehouse receiving area according to the type of the goods to be received, if: and when the goods to be received are radioactive goods, receiving the radioactive goods into a corresponding radioactive goods storage area.
Step S202: and acquiring the idle goods position information of the receiving area.
It should be noted that the free cargo space information may be cargo space information of a receiving area corresponding to the cargo to be received, where the cargo is not stored; the free cargo space information can be a cargo space number corresponding to an unstored cargo space, the cargo space can bear weight and the local cargo space can bear weight.
In specific implementation, the computer may search, through the system, idle goods location information of a receiving area corresponding to goods to be received, for example: the free goods information can comprise the number and the position of the free goods position, the bearable weight of the free goods and the bearable size of the goods.
Step S203: and matching the idle goods position information with the goods information, and determining available goods position information corresponding to goods to be received.
It should be noted that the available cargo space information may be information included in a cargo space of a receivable cargo corresponding to the cargo to be received, for example, the available cargo space information may be a cargo space type corresponding to a type of the cargo to be received, such as: if the goods to be received are non-instant chafing dish seasoning products, the goods type in the corresponding available goods position information can be the goods position without a refrigeration function.
In the specific implementation, the computer can obtain the free goods position information and the goods information through the network server, match the free goods position information with the goods information, and determine the available goods position information corresponding to the goods to be received and placed.
Further, in order to match the goods with the goods location more accurately, the step of matching the idle goods location information and the goods information and determining available goods location information corresponding to the goods to be received includes: acquiring the cargo carrying capacity between the shelves corresponding to the free cargo space information; judging whether the bearing capacity of the goods shelf and the bearing capacity near the goods shelf exceed the bearable threshold value of the goods shelf through a population algorithm according to the bearable capacity of the goods, and obtaining a judgment result; determining a cargo space bearable threshold corresponding to the idle cargo space information according to the judgment result; and matching the cargo information according to the cargo position bearable threshold value, and determining available cargo position information corresponding to the cargo to be received.
It should be noted that the cargo carrying capacity between the shelves may be the cargo carrying capacity of the shelf corresponding to the cargo to be received, may be the cargo carrying capacity of the cargo space corresponding to the cargo to be received, and may be the cargo carrying capacity corresponding to the entire shelf. The bearable amount can be determined according to the bearable weight of the goods position in the goods shelf, or can be the bearable amount corresponding to the bearable specification of the goods position of the goods shelf.
It is understood that the shelf loadable threshold may refer to the lowest or highest value of the size of the goods that the shelf can carry, and may also refer to the lowest or highest value of the weight of the goods that the shelf can carry.
It should be understood that the population algorithm may be to share the slot information between each slot of the shelves and determine the best match between the goods to be received and the available slots.
In the specific implementation, the computer obtains the cargo carrying capacity between the shelves corresponding to the current free cargo space information through the network server, matches the cargo information according to the cargo space carrying threshold value, and determines the available cargo space information corresponding to the cargo to be received.
In the embodiment, a receiving area of goods to be received is determined according to goods information and warehouse area information by acquiring the goods information and the warehouse area information of the goods to be received, idle goods position information of the receiving area is acquired, the idle goods position information and the goods information are matched, available goods position information corresponding to the goods to be received is determined, in-out time and in-out frequency of the goods to be received are acquired, the available goods position information is subjected to priority ranking according to the in-out time and the in-out frequency, a ranking result is obtained, and an optimal goods position corresponding to the goods to be received is selected according to the ranking result. The cargo information is matched with the idle cargo position information to determine the available cargo position information corresponding to the cargo to be received. This embodiment matches through goods information and goods position information for prior art, and the goods position of waiting to receive and put the goods can be confirmed more quickly to improve goods position distribution efficiency.
Referring to fig. 4, fig. 4 is a schematic flow chart of a method for optimizing a warehouse cargo space according to a third embodiment of the present invention, and the method for optimizing a warehouse cargo space according to the third embodiment of the present invention is proposed based on the first embodiment shown in fig. 2.
In the third embodiment, the step S40 includes:
step S401: and acquiring the goods position number contained in the available goods position information.
It should be noted that the cargo space number may refer to a management method for numbering the cargo areas, the storerooms, the sheds and the cargo spaces divided in the warehouse according to the order of location and position, and may be a number according to the rows and columns of the shelves.
In the concrete implementation, the goods position number can be flexibly applied to a planar, vertical or three-dimensional longitudinal and transverse direction sequence according to different conditions of the warehouse, and the goods position number can be compiled by concise numbers, characters or characters and the like.
Step S402: and determining the receiving priority value of the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency.
It should be noted that the receiving priority value may be obtained by calculating a weight value corresponding to the in-out time and the in-out frequency of the goods to be received.
In the specific implementation, the computer may determine the warehousing time and the ex-warehousing time of the goods to be received from the order management system, search the historical warehousing frequency and the historical ex-warehousing frequency corresponding to the goods to be received in the historical data, and when the historical warehousing frequency and the historical ex-warehousing frequency corresponding to the goods to be received are not found in the historical data, may also determine the receiving priority value of the goods to be received according to the historical warehousing frequency and the historical ex-warehousing frequency of the goods of the same type corresponding to the goods to be received as the ex-warehousing frequency of the goods to be received, and determine the receiving priority value of the goods to be received according to the weight value corresponding to the ex-warehousing time and the weight value corresponding to the ex-warehousing frequency.
Step S403: and carrying out priority sequencing according to the receiving priority value and the goods position number, and obtaining a sequencing result.
It should be noted that the sorting result may be a result obtained by sorting the cargo space numbers according to the receiving priority corresponding to the cargo to be received.
Further, in order to enable the goods to be received and received in and out of the warehouse more efficiently, the step of performing priority ranking according to the priority value and the goods location number and obtaining a ranking result comprises the following steps: acquiring a cargo number corresponding to the cargo to be received; matching the cargo numbers according to the receiving priority value, and obtaining a first matching result; and carrying out priority sequencing on the goods position numbers according to the first matching result, and obtaining a sequencing result.
It should be noted that the first matching result may be a cargo sequence number generated by sequencing the cargo numbers to be received according to the receiving priority of the cargo to be received.
It can be understood that the sorting result can be a serial number produced by sorting the goods position numbers corresponding to the goods to be received according to the goods sorting numbers.
In specific implementation, the computer may determine the arrangement sequence of the cargo numbers corresponding to the cargo to be received according to the receiving priority value, and sequence the cargo position numbers corresponding to the cargo to be received according to the arrangement sequence to obtain the cargo position arrangement sequence number corresponding to the cargo to be received.
Further, in order to reasonably match the goods to be received with the goods location, before the step of performing priority ranking on the goods location numbers according to the first matching result and obtaining a ranking result, the method further includes: acquiring the goods space use frequency contained in the available goods space information; numbering the goods positions according to the goods position using frequency, and obtaining goods position numbers.
It should be noted that the frequency of the cargo space usage may be the number of times the cargo is received on the cargo space within a period of time.
In the concrete implementation, the computer can number the goods position according to the goods position use frequency, the goods position use frequency is high when the computer is generally close to the warehouse entry port and the warehouse exit port, and the goods position can be numbered in the warehouse entry port and the warehouse exit port preferentially.
Further, in order to determine an optimal cargo position corresponding to the cargo to be received, the step of selecting the optimal cargo position corresponding to the cargo to be received according to the sorting result includes: matching the goods position number according to the first matching result to obtain a second matching result; and determining the optimal goods position corresponding to the goods to be received according to the second matching result.
It should be noted that the second matching result may be a matching result obtained by matching the cargo space numbers according to the cargo receiving order corresponding to the cargo to be received.
In the embodiment, the goods information and the warehouse area information of the goods to be received are obtained; searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information; acquiring the time and frequency for the goods to be received to enter and exit the warehouse; acquiring a goods position number contained in the available goods position information; determining a receiving priority value of the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency; carrying out priority sorting according to the receiving priority value and the goods position number, and obtaining a sorting result; and selecting the optimal goods position corresponding to the goods to be received according to the sorting result. The priority ordering is carried out according to the receiving priority value and the goods position number corresponding to the goods to be received. This embodiment can high-efficiently utilize storehouse ability for prior art, improves the efficiency to goods position distribution.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium has a warehouse cargo space optimization program stored thereon, and the warehouse cargo space optimization program, when executed by a processor, implements the steps of the warehouse cargo space optimization method described above.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of the warehouse cargo space optimizing apparatus according to the present invention.
As shown in fig. 5, the warehouse cargo space optimization apparatus according to the embodiment of the present invention includes:
the information acquisition module 10 is used for acquiring the cargo information and the warehouse area information of the cargo to be received;
the information searching module 20 is configured to search, according to the cargo information, available cargo location information corresponding to the cargo to be received from the warehouse region information;
the information obtaining module 10 is further configured to obtain the time and frequency of the cargo to be received entering and exiting the warehouse;
the information sorting module 30 is used for performing priority sorting on the available goods space information according to the warehousing-in and warehousing-out time and the warehousing-in and warehousing-out frequency and obtaining a sorting result;
and the position selecting module 40 is used for selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
In the embodiment, the goods information and the warehouse area information of the goods to be received are obtained; searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information; acquiring the time and frequency for the goods to be received to enter and exit the warehouse; carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result; and selecting the optimal goods position corresponding to the goods to be received according to the sorting result. Because the available goods positions are subjected to priority sequencing according to the time and the frequency of goods to be received entering and exiting the warehouse, the embodiment efficiently finishes goods receiving and placing compared with the prior art, and improves the efficiency of goods entering and exiting the warehouse.
Further, the information search module 20 is further configured to determine a receiving area of the goods to be received according to the goods information and the warehouse area information; acquiring the idle goods position information of the receiving area; and matching the idle goods position information with the goods information, and determining available goods position information corresponding to goods to be received.
Further, the information obtaining module 10 is further configured to obtain a cargo carrying capacity between shelves corresponding to the free cargo space information; judging whether the bearing capacity of the goods shelf and the bearing capacity near the goods shelf exceed the bearable threshold value of the goods shelf through a population algorithm according to the bearable capacity of the goods, and obtaining a judgment result; determining a cargo space bearable threshold corresponding to the idle cargo space information according to the judgment result; and matching the cargo information according to the cargo position bearable threshold value, and determining available cargo position information corresponding to the cargo to be received.
Further, the information sorting module 30 is further configured to obtain a cargo space number included in the available cargo space information; determining a receiving priority value of the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency; and carrying out priority sequencing according to the receiving priority value and the goods position number, and obtaining a sequencing result.
Further, the information sorting module 30 is further configured to obtain a cargo number corresponding to the cargo to be received; matching the cargo numbers according to the receiving priority value, and obtaining a first matching result; and carrying out priority sequencing on the goods position numbers according to the first matching result, and obtaining a sequencing result.
Further, the information sorting module 30 is further configured to obtain a cargo space usage frequency included in the available cargo space information; numbering the goods positions according to the goods position using frequency, and obtaining goods position numbers.
Further, the position selecting module 40 is further configured to match the cargo space number according to the first matching result to obtain a second matching result; and determining the optimal goods position corresponding to the goods to be received according to the second matching result.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium has a warehouse cargo space optimization program stored thereon, and the warehouse cargo space optimization program, when executed by a processor, implements the steps of the warehouse cargo space optimization method described above.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the method for optimizing the warehouse cargo space provided in any embodiment of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order, but rather the words first, second, third, etc. are to be interpreted as names.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A warehouse cargo space optimization method is characterized by comprising the following steps:
acquiring goods information and warehouse area information of goods to be received;
searching available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information;
acquiring the time and frequency for the goods to be received to enter and exit the warehouse;
carrying out priority sequencing on the available goods position information according to the warehouse entry and exit time and the warehouse entry and exit frequency, and obtaining a sequencing result;
and selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
2. The method for optimizing the position of the warehouse according to claim 1, wherein the step of searching the available position information corresponding to the goods to be received from the warehouse area information according to the goods information comprises:
determining a receiving area of the goods to be received according to the goods information and the warehouse area information;
acquiring the idle goods position information of the receiving area;
and matching the idle goods position information with the goods information, and determining available goods position information corresponding to goods to be received.
3. The method for optimizing the warehouse cargo space according to claim 2, wherein the step of matching the free cargo space information and the cargo information and determining available cargo space information corresponding to the cargo to be received comprises:
acquiring the cargo carrying capacity between the shelves corresponding to the free cargo space information;
judging whether the bearing capacity of the goods shelf and the bearing capacity near the goods shelf exceed the bearable threshold value of the goods shelf through a population algorithm according to the bearable capacity of the goods, and obtaining a judgment result;
determining a cargo space bearable threshold corresponding to the idle cargo space information according to the judgment result;
and matching the cargo information according to the cargo position bearable threshold value, and determining available cargo position information corresponding to the cargo to be received.
4. The method of optimizing the warehouse cargo space according to claim 1, wherein the step of prioritizing the available cargo space information according to the warehousing time and the warehousing frequency and obtaining a ranking result comprises:
acquiring a goods position number contained in the available goods position information;
determining a receiving priority value of the goods to be received according to the warehouse-in and warehouse-out time and the warehouse-in and warehouse-out frequency;
and carrying out priority sequencing according to the receiving priority value and the goods position number, and obtaining a sequencing result.
5. The method for optimizing the warehouse cargo space according to claim 4, wherein the step of performing priority ranking according to the priority value and the cargo space number and obtaining the ranking result comprises:
acquiring a cargo number corresponding to the cargo to be received;
matching the cargo numbers according to the receiving priority value, and obtaining a first matching result;
and carrying out priority sequencing on the goods position numbers according to the first matching result, and obtaining a sequencing result.
6. The warehouse cargo space optimization method of claim 5, wherein the step of prioritizing cargo space numbers according to the first matching result and obtaining a ranking result further comprises, before:
acquiring the goods space use frequency contained in the available goods space information;
numbering the goods positions according to the goods position using frequency, and obtaining goods position numbers.
7. The method for optimizing the positions of the warehouses according to claim 6, wherein the step of selecting the optimal position corresponding to the goods to be received according to the sorting result comprises the following steps:
matching the goods position number according to the first matching result to obtain a second matching result;
and determining the optimal goods position corresponding to the goods to be received according to the second matching result.
8. A warehouse cargo space optimizing apparatus, comprising: a memory, a processor, and a warehouse bay optimizer stored on the memory and executable on the processor, the warehouse bay optimizer implementing the steps of the warehouse bay optimization method as claimed in any one of claims 1 to 7 when executed by the processor.
9. A storage medium having stored thereon a warehouse bay optimization program which, when executed by a processor, implements the steps of the warehouse bay optimization method as claimed in any one of claims 1 to 7.
10. A warehouse cargo space optimization device, characterized in that the warehouse cargo space optimization device comprises:
the information acquisition module is used for acquiring the cargo information and the warehouse area information of the cargo to be received;
the information searching module is used for searching the available goods position information corresponding to the goods to be received from the warehouse area information according to the goods information;
the information acquisition module is also used for acquiring the time and frequency for the goods to be received to enter or exit the warehouse;
the information sorting module is used for carrying out priority sorting on the available goods space information according to the warehousing-in and warehousing-out time and the warehousing-in and warehousing-out frequency and obtaining a sorting result;
and the position selection module is used for selecting the optimal goods position corresponding to the goods to be received according to the sorting result.
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