CN113627858A - Method and device for determining cache location of warehouse - Google Patents
Method and device for determining cache location of warehouse Download PDFInfo
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- CN113627858A CN113627858A CN202110975916.9A CN202110975916A CN113627858A CN 113627858 A CN113627858 A CN 113627858A CN 202110975916 A CN202110975916 A CN 202110975916A CN 113627858 A CN113627858 A CN 113627858A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
Abstract
The invention discloses a method and a device for determining a warehouse cache location point, and relates to the technical field of warehouse logistics. The specific implementation mode of the method comprises the following steps: acquiring the operation period of a work station in a warehouse, the transportation period of a transportation vehicle and the fluctuation amount of the transportation period; the fluctuation amount of the transportation period is obtained according to historical transportation data; determining a first number and a second number of cache positions required by the transport vehicle according to the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station; determining the target number of the cache positions by taking the first number as a first extreme value of the cache positions and taking the second number as a second extreme value of the cache positions; the buffer storage position is used for parking the transport vehicle in a waiting state. The method and the device can reduce the operation cost of the warehouse and improve the operation efficiency of the warehouse, so that the picking operation is matched with the optimal capacity of the warehouse.
Description
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to a method and a device for determining a warehouse cache location.
Background
In automated warehouses, the pick workflow in a goods-to-people mode typically includes: the goods shelves are pulled from the storage area by a plurality of transport vehicles, the goods shelves are transported to the picking station, and after the staff at the picking station picks the goods from the goods shelves, the transport vehicles transport the no-load goods shelves to the storage area.
In the existing picking station, in order to avoid that a plurality of transport vehicles block the picking station or the picking station is idle for a long time, buffering sites are generally configured in the picking station at random to deal with the blocking or idle conditions and ensure the continuous operation of the picking station.
In the existing configuration of the buffer sites of the picking station, the actual operation conditions that the time consumption change caused by the running condition of a transport vehicle is not considered, the picking station is not full-load picking all day long and the like are not considered, so that the configuration of the number of the buffer sites is unreasonable, the phenomena of waste of station resources, overlong picking waiting time and the like are easily caused, the warehouse cost is increased, the warehouse operation efficiency is reduced, and the buffer sites are not matched with the warehouse capacity.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for determining a warehouse cache location, which can reduce the operation cost of a warehouse, improve the operation efficiency of the warehouse, enable a picking operation to match the optimal capacity of the warehouse, and provide guidance for planning and layout of the warehouse, optimize existing warehouse resources, and the like.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method for determining a cache location of a repository, including:
acquiring an operation period of a work station in the warehouse, a transportation period of a transportation vehicle and a transportation period fluctuation amount of the transportation period; the transportation cycle fluctuation amount is obtained according to historical transportation data;
determining a first number and a second number of cache positions required by the transport vehicle according to the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station;
determining the target number of the cache positions by taking the first number as a first extreme value of the cache positions and taking the second number as a second extreme value of the cache positions; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
Optionally, the determining the first number and the second number of the required buffer locations of the transportation vehicle according to the transportation cycle fluctuation amount of the transportation vehicle and the operation cycle of the work station includes:
determining a first number of cache positions required by the transport vehicle according to the operation period and the fluctuation amount of the transport period;
and determining a second number of required buffer positions of the transport vehicle according to the operation period and the transport period.
Optionally, the operation cycle includes an article operation duration and a cache transportation duration from the cache location to the work site; the transport cycle comprises: a first transportation time from the warehouse area of the warehouse to the cache location, and a second transportation time from the work station to the warehouse area; determining a second number of required buffer locations for the transport vehicle based on the operation cycle and the transport cycle, comprising:
and determining the second quantity according to the sum of the first transportation time length and the second transportation time length and the sum of the item operation time length and the cache transportation time length.
Optionally, the determining, according to the operation cycle and the transportation cycle fluctuation amount, a first number of cache positions required by the transportation vehicle includes:
and determining the first quantity according to the sum of the article operation time length and the cache transportation time length and the transportation cycle fluctuation amount.
Optionally, the operation cycle further includes: allowing a wait duration;
and determining the first quantity according to the allowable waiting time length, the sum of the item operation time length and the cache transportation time length and the transportation cycle fluctuation amount.
Optionally, the method further comprises:
determining the total number of the transport vehicles corresponding to the work station according to the target number;
and determining a first capacity corresponding to the warehouse according to the total quantity.
Optionally, the method further comprises:
determining a maximum number of transport vehicles operable for the work station within the set length of time;
determining a second capacity of the warehouse according to the maximum quantity;
and taking the smaller value of the first capacity and the second capacity as the predicted capacity of the warehouse.
Optionally, the method further comprises:
and updating the target number of the cache sites according to the difference value between the predicted capacity and the actual capacity.
Optionally, the method further comprises:
and scheduling the transport vehicles in the warehouse according to the target number of the cache positions.
According to another aspect of the embodiments of the present invention, there is provided an apparatus for determining a cache location of a repository, including:
the acquisition module acquires the operation period of a work station in the warehouse, the transportation period of a transportation vehicle and the fluctuation amount of the transportation period; the transportation cycle fluctuation amount is obtained according to historical transportation data;
the data processing module is used for determining a first number and a second number of cache positions required by the transport vehicle according to the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station;
a determining module, configured to determine a target number of the cache locations by using the first number as a first extreme value of the cache locations and using the second number as a second extreme value of the cache locations; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
According to another aspect of the embodiments of the present invention, there is provided an electronic device for determining a cache location of a warehouse, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the warehouse cache location provided by the invention.
According to still another aspect of the embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining a warehouse cache location provided by the present invention.
One embodiment of the above invention has the following advantages or benefits: the first extreme value of the cache position is determined according to the fluctuation amount of the transportation cycle, the second extreme value of the cache position is determined according to the continuous operation of an ideal state, and then the target number of the cache position is determined, so that the number of the transportation vehicles serving the working station is determined; when the warehouse capacity is calculated based on the number of times of arrival that the transport vehicle can arrive at the station and the number of times of arrival that the work station can accept, reference is provided for the warehouse planning stage, or an optimized technical means is provided for the actual operation of the warehouse, so that the problems that the existing cache point is unreasonable in configuration, the station resource is easily wasted, the picking waiting time is overlong and the like are overcome, the warehouse cost is increased, the warehouse operation efficiency is reduced, and the technical problem that the warehouse capacity is unmatched is solved, so that the warehouse operation cost can be reduced, the warehouse operation efficiency is improved, the picking operation is matched with the optimal warehouse capacity, and the method is used for providing guidance for the planning layout of the warehouse, and optimizing the existing warehouse resources.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of a main flow of a method for determining a cache location of a warehouse according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a warehouse according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a main flow of a method for determining capacity of a work station according to an embodiment of the present invention;
fig. 4 is a schematic diagram of main modules of a determination apparatus of a warehouse cache location according to an embodiment of the present invention;
fig. 5 illustrates an exemplary system architecture diagram of a method for determining a warehouse cache location or a device for determining a warehouse cache location, which is suitable for application to embodiments of the present invention;
fig. 6 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
AGV: that is, an Automated Guided Vehicle is a transport Vehicle equipped with an electromagnetic or optical automatic navigation device, having functions of safety protection, load bearing, transfer, and the like, and traveling along a navigation route.
Fig. 1 is a schematic diagram of a main flow of a method for determining a warehouse cache location according to an embodiment of the present invention, and as shown in fig. 1, the method for determining a warehouse cache location of the present invention includes:
step S101, acquiring the operation cycle of a work station in the warehouse, the transportation cycle of a transportation vehicle and the fluctuation amount of the transportation cycle; the transportation cycle fluctuation amount is obtained according to historical transportation data.
A plurality of work stations are typically included within the warehouse for picking items on shelves carried by the transport vehicles. During picking, the transport vehicle carries the goods shelves from the storage area and transports the goods shelves to the work station, and after the work station takes out the goods from the goods shelves, the transport vehicle transports the goods shelves back to the storage area; wherein the transport vehicle may be an AGV or the like.
Specifically, as shown in fig. 2, the transportation vehicle transports the shelves from the storage area to the buffer storage site, and then transports the shelves from the buffer storage site to the work site, and after the operation of the worker, the transportation vehicle transports the shelves from the work site to the storage area; the buffer storage position is used for parking the transport vehicle which is in a waiting state in the operation process of the work station.
In an embodiment of the invention, the operation cycle comprises an article operation duration tpBuffer time t of transportationmAnd an allowable wait period tw. Wherein the article is operated for a time period tpThe time that the staff in charge of the operation of the work station operates the goods on the transport vehicle is referred to; caching duration t of transportationmRefers to the time for the transport vehicle to travel from the buffer location to the work location; allowable wait duration twRefers to the time that a worker at a work station responsible for the operation may wait for the transport vehicle.
In an embodiment of the invention, the transport cycle comprises: a first transit time period tgAnd a second transit time period tr. A first transit time period tgThe time from the time when the transport vehicle receives the transport instruction to the time when the transport vehicle transports the goods shelf from the storage area of the warehouse to the cache location; a second transit time period trThe time from the completion of the operation of the work station to the time when the transportation vehicle transports the goods shelf from the work station to the storage area of the warehouse; wherein the first transportation time period tgAnd a second transit time period trThe movement period is a fixed value, and accordingly, is usually a standard/fixed value.
Further, a first transport time period tgThe process comprises the following steps: and after receiving the transportation instruction, the transportation vehicle drives to the designated position of the storage area, lifts the goods shelf, places the goods shelf on the transportation vehicle, and transports the goods shelf to the cache position of the work station.
In the embodiment of the invention, in the actual operation process, the transportation period of each transportation vehicle cannot be a uniform standard value/fixed value, so that the actual transportation period of each transportation vehicle has deviation from the movement period of the standard value/fixed value, and the deviation amount is the fluctuation amount of the transportation period. The transport period fluctuation amount ts is referred to as the historyAnalyzing the transportation data, and determining the average deviation amount of the actual transportation period and the standard value/fixed value transportation period according to the analysis result of the historical transportation data, wherein the transportation period fluctuation amount ts is a fixed value; wherein the transportation cycle fluctuation amount ts includes a first transportation time period tgFirst transport period fluctuation amount ts ofgAnd a second transit time period trSecond amount of transportation cycle fluctuation tsr。
In the embodiment of the invention, parameters such as a transportation cycle, a transportation cycle fluctuation amount and the like can be determined according to historical transportation data, when the parameters such as the transportation cycle, the transportation cycle fluctuation amount and the like are determined according to the historical transportation data, reference points can be selected according to basic map information such as shelf positions, work stations, transportation vehicle hardware parameters and the like of a library area planned in a historical manner, and the average carrying distance, the acceleration time consumption of a transportation vehicle, the no-load movement time consumption, the turning time consumption and the lifting time consumption (the time for lifting the shelf and placing the shelf on the transportation vehicle; or the time for taking the shelf off the transportation vehicle and placing the shelf in the library area) are obtained to determine the transportation cycle and the transportation cycle fluctuation amount; and determining the operation duration of the article according to the operation action decomposition of the historical work station.
Step S102, determining a first number and a second number of cache positions required by the transport vehicle according to the transport period fluctuation amount of the transport vehicle and the operation period of the work station.
Step S1021, determining a first number of cache positions needed by the transport vehicle according to the operation period and the fluctuation amount of the transport period.
In the embodiment of the invention, in the actual operation process, the transportation cycle of the transportation vehicle is unstable, the transportation cycle fluctuates, and the working station may have a situation that the transportation vehicle arrives at the working station in advance and cannot enter the buffer location, or a situation that the next transportation vehicle does not arrive after the previous transportation vehicle is operated and the spare vehicle of the transportation vehicle is insufficient.
In an embodiment of the invention, the first number of buffer locations is determined based on an angle of the transport vehicle from an amount of fluctuation of a transport period of the transport vehicle.
In the embodiment of the invention, the operation time t is determined according to the articlepAnd a buffer transport time period tmSum and first transport period fluctuation amount tsgAnd a second amount of fluctuation ts of the transport periodrSumming to determine a first number n of desired buffer locations for the delivery vehicle1. Wherein the first number n of required buffer locations of the transport vehicle1Comprises the following steps:
or according to the article operation time length tpBuffer time t of transportationmAnd an allowable wait period twSum and first transport period fluctuation amount tsgAnd a second amount of fluctuation ts of the transport periodrSumming to determine a first number n of desired buffer locations for the delivery vehicle1. Wherein the first number n of required buffer locations of the transport vehicle1Comprises the following steps:
step S1021, determining a second number of cache positions needed by the transport vehicle according to the operation period and the transport period.
In the embodiment of the invention, based on the angle of the work station, according to the operation period of the work station, the upper limit of the transport vehicles which can be accepted by the work station for continuous operation under the condition of continuous operation is determined, the upper limit represents the number of all the transport vehicles serving the work station, and the number of the cache positions is determined according to the upper limit.
Further, when the work station works continuously, the transport vehicles serving the work station comprise transport vehicles which are driven away from the work station and return to the warehouse area, transport vehicles which are driven from the buffer position to the work station for operation, and transport vehicles which receive transport instructions and transport the transport vehicles to the buffer position.
In the embodiment of the invention, the operation time t is determined according to the articlepAnd a buffer transport time period tmSum and first transport time period tgAnd a second transit time period trSumming to determine a second number n of desired buffer locations for the delivery vehicle2. Wherein the second number n of required buffer locations of the transport vehicle2Comprises the following steps:
step S103, determining the target number of the cache positions by taking the first number as a first extreme value of the cache positions and taking the second number as a second extreme value of the cache positions; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
In the embodiment of the invention, the first number n1As a first extreme of the cache location, and a second number n2As the second extreme value of the cache location, the target number n of the cache location may be any value between the first extreme value and the second extreme value of the cache location, and may be configured reasonably as needed. Wherein the first extreme value may be less than the second extreme value; alternatively, the first extreme value may be greater than the second extreme value; alternatively, the first extreme value may be equal to the second extreme value.
Further, the target number n of cache slots may be selected to be set to a larger value between the first extreme value and the second extreme value.
However, in the actual operation process, the area of the work station is limited, the number of the cache points that can be accommodated by the work station is limited, and the maximum number n of the cache points that can be accommodated can be determined according to the area of the work stationmaxMaximum number of cache locations nmaxAnd a first number n1A second number n2Comparing to determine the first extreme value, the second extreme value and the maximum number nmaxThe relationship (2) of (c). Assuming that the first extreme value is smaller than the second extreme value, at nmax＜n1In case of (2), the purpose of the cache locationNumber n ═ nmax(ii) a At n1＜nmax＜n2In this case, the target number n of cache locations may be set to the first extreme value and the maximum number nmaxAny value in between; at nmax＞n2In this case, the target number n of cache slots may be set to any value between the first extreme value and the second extreme value.
In an embodiment of the present invention, as shown in fig. 3, the method for determining the productivity of the workstation includes the following steps:
step S301, determining the total number of the transportation vehicles corresponding to the work station according to the target number n.
In an embodiment of the invention, the total number n of transport vehicles serving a work site is determined according to the target number n of cache locationss。
Assuming that n cache points are all used at the initial time, the control center does not schedule a new transport vehicle to enter the station at the time;
after an operation period, the transport vehicle operated by the work station leaves the station, the transport vehicle 1 at the cache position arrives at the work station from the cache position for operation, a cache position is vacated, the control center schedules the transport vehicle to travel to the storage area to take the goods shelf, and the transport vehicle is transported to the cache position, and the time duration is a first transport time duration tg(ii) a Dispatching a transport vehicle for a first transport duration tgThe number of transport vehicles that can be operated by the work station during transport of (1) is
When the transport vehicle is scheduled to reach the cache location, if the nth transport vehicle of the cache location just drives away from the cache location, the cache location can guarantee continuous operation.
When the control center dispatches the transport vehicles, the transport vehicles which are operated are returned to the reservoir area from the work station, and the time is the second transport time length tr(ii) a The operation-completed transportation vehicle is in the second transportation time period trThe number of transport vehicles that can be operated by the work station during transport of (1) is
When the transport vehicle is dispatched to reach the garage area, the transport instruction is just received, and the cache position can ensure continuous operation.
Therefore, when the work station works continuously, the transport vehicle follows the cache position->Work station>Reservoir area-A>The driving route of the buffer storage site is circularly transported, so that the transport vehicles serving the work site comprise transport vehicles of the buffer storage site, transport vehicles used by the work site for operation, transport vehicles driving away from the work site to return to a storage area and transport vehicles receiving transport instructions to be transported to the buffer storage site. Determining the total number of transport vehicles serving the work site from the target number n of cache locations
Or in the actual operation process, the responsible personnel of the working site allow the transportation vehicles to wait for a short time so as to adapt to the actual production scheduling, meet the actual capacity demand and reduce the transportation vehicle demand and the capacity waste. Taking into account the permissible waiting time t of the work stationwDetermining the total number of transport vehicles serving the work station from the target number n of cache locations
And step S302, determining a first limit number of times that the transport vehicle can enter the work station in unit time according to the total number.
In an embodiment of the invention, the number n is determined according to the total number of transport vehiclessA transportation period of the transportation vehicle and an operation period of the work station, and determining a first limit number n of times that the transportation vehicle can enter the work station in unit timelimit1. For example, the unit time may be 1h, i.e. 3600s, and the first limit number of inbound stops
Step S303, determining a first capacity corresponding to the warehouse according to the first limit number of inbound trips.
In the embodiment of the invention, the productivity is an important operation index in warehousing production, and the operation effect of the warehouse after the cache location is arranged can be visually observed.
In the embodiment of the invention, the first limit station-entering times n that the transport vehicle can enter the work station in unit time are determinedlimit1Determining the first capacity C of the warehouse according to the quantity Q of the work stations in the warehouse, the working time T of the work stations and the average number p of the shelf operations of the work stations1＝nlimit1*Q*T*p。
Step S304, determining the maximum number of the transport vehicles which can be operated by the work station in the set time length.
In the embodiment of the invention, the maximum number of the transport vehicles acceptable in the unit time of the work station, namely the acceptable second limit number n of the station-entering times in the unit time of the work station is determined according to the operation period of the work stationlimit2. For example, the unit time may be 1h, i.e. 3600s, and the second limit number of inbound stops
Step S305, determining a second capacity of the work station according to the maximum quantity.
In the embodiment of the present invention, the number n of second limit station entries that can be accepted in unit time of the work station is determinedlimit2Determining the number Q of the working stations in the warehouse, the working time T of the working stations, the average number p of the shelf operation items of the working stations, and determining the second capacity C of the warehouse2＝nlimit2*Q*T*p。
Step S306, the smaller value of the first capacity and the second capacity is used as the predicted capacity of the warehouse.
In an embodiment of the invention, the prediction of the warehouseCapacity C ═ min (C)1，C2)。
In the embodiment of the present invention, the target number of the cache locations may be updated according to a difference between the predicted capacity and the actual capacity.
In the embodiment of the invention, the optimal capacity of the warehouse can be determined by the method for determining the capacity of the working station, so that the resources of the warehouse are optimized, the operation cost of the warehouse is reduced, the operation efficiency of the warehouse is improved, and the actual operation requirement of the warehouse is met.
In the embodiment of the invention, the transportation vehicles in the warehouse are scheduled according to the target number of the cache sites, and the method can be used for measuring and calculating the number of the cache sites and the transportation vehicles of the working sites in the warehouse planning stage, or can be used for verifying whether the cache sites and the transportation vehicles of the existing working sites are reasonable or not in the warehouse operation stage, and optimization is carried out according to verification data.
In the embodiment of the invention, the operation period of the work station in the warehouse, the transportation period of the transportation vehicle and the fluctuation amount of the transportation period are obtained; the transportation cycle fluctuation amount is obtained according to historical transportation data; determining a first number of cache positions required by the transport vehicle according to the operation period and the fluctuation amount of the transport period; determining a second number of cache positions required by the transport vehicle according to the operation period and the transport period; determining the target number of the cache positions by taking the first number as the lower limit of the cache positions and taking the second number as the upper limit of the cache positions; the method comprises the steps of storing the transportation vehicles in a waiting state, and the like, wherein the cache position points are used for parking the transportation vehicles in the waiting state, so that the operation cost of the warehouse can be reduced, the operation efficiency of the warehouse is improved, the picking operation is matched with the optimal capacity of the warehouse, and the method is used for providing guidance for planning and layout of the warehouse, optimizing the existing warehouse resources and the like.
Fig. 4 is a schematic diagram of main modules of an apparatus for determining a warehouse cache location according to an embodiment of the present invention, and as shown in fig. 4, an apparatus 400 for determining a warehouse cache location of the present invention includes:
an obtaining module 401, configured to obtain an operation cycle of a work station in the warehouse, a transportation cycle of a transportation vehicle, and a transportation cycle fluctuation amount of the transportation cycle; the transportation cycle fluctuation amount is obtained according to historical transportation data.
In the embodiment of the present invention, the obtaining module 401 is configured to obtain an operation cycle of a work station in a warehouse, a transportation cycle of a transportation vehicle, and a transportation cycle fluctuation amount of the transportation cycle.
In an embodiment of the invention, the operation cycle comprises an article operation duration tpBuffer time t of transportationmAnd an allowable wait period tw. The transport cycle includes: a first transit time period tgAnd a second transit time period tr. The transport period fluctuation amount ts includes a first transport time period tgFirst transport period fluctuation amount ts ofgAnd a second transit time period trSecond amount of transportation cycle fluctuation tsr。
A data processing module 402, configured to determine a first number and a second number of cache locations required by the transportation vehicle according to the transportation cycle fluctuation amount of the transportation vehicle and the operation cycle of the work station.
In an embodiment of the present invention, the data processing module 402 determines the first number of cache locations required by the transportation vehicle according to the operation cycle and the transportation cycle fluctuation amount.
In the embodiment of the invention, in the actual operation process, the transportation cycle of the transportation vehicle is unstable, the transportation cycle fluctuates, and the working station may have a situation that the transportation vehicle arrives at the working station in advance and cannot enter the buffer location, or a situation that the next transportation vehicle does not arrive after the previous transportation vehicle is operated and the spare vehicle of the transportation vehicle is insufficient.
In an embodiment of the invention, the first number of buffer locations is determined based on an angle of the transport vehicle from an amount of fluctuation of a transport period of the transport vehicle.
In the embodiment of the present invention, the data processing module 402 is according to the objectTime t of product operationpAnd a buffer transport time period tmSum and first transport period fluctuation amount tsgAnd a second amount of fluctuation ts of the transport periodrSumming to determine a first number n of desired buffer locations for the delivery vehicle1。
In an embodiment of the present invention, the data processing module 402 determines the second number of cache locations required by the transportation vehicle according to the operation cycle and the transportation cycle.
In the embodiment of the invention, based on the angle of the work station, according to the operation period of the work station, the upper limit of the transport vehicles which can be accepted by the work station for continuous operation under the condition of continuous operation is determined, the upper limit represents the number of all the transport vehicles serving the work station, and the number of the cache positions is determined according to the upper limit.
In the embodiment of the present invention, the data processing module 402 operates according to the article operation duration tpAnd a buffer transport time period tmSum and first transport time period tgAnd a second transit time period trSumming to determine a second number n of desired buffer locations for the delivery vehicle2。
A determining module 403, configured to determine a target number of the cache locations by using the first number as a first extreme value of the cache locations and using the second number as a second extreme value of the cache locations; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
In this embodiment of the present invention, the determining module 403 compares the first number n1As a first extreme of the cache location, and a second number n2As the second extreme value of the cache location, the determining module 403 determines that the target number n of the cache location may be any value between the first extreme value and the second extreme value of the cache location, and may perform reasonable configuration as required. Wherein the first extreme value may be less than the second extreme value; alternatively, the first extreme value may be greater than the second extreme value; alternatively, the first extreme value may be equal to the second extreme value.
Further, the determining module 403 may select the target number n of buffer locations to be set as a larger value between the first extreme value and the second extreme value.
In the embodiment of the invention, the operation cost of the warehouse can be reduced and the operation efficiency of the warehouse can be improved by the modules such as the acquisition module, the data processing module, the determination module and the like, so that the picking operation is matched with the optimal capacity of the warehouse and is used for providing guidance for planning and layout of the warehouse, optimizing the existing warehouse resources and the like.
Fig. 5 is a diagram illustrating an exemplary system architecture of a method for determining a warehouse cache location or a device for determining a warehouse cache location according to an embodiment of the present invention, and as shown in fig. 5, the method for determining a warehouse cache location or the device for determining a warehouse cache location according to an embodiment of the present invention includes:
as shown in fig. 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504, and a server 505. The network 504 is used to provide a medium for communication links between the terminal devices 501, 502, 503 and the server 105. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. The terminal devices 501, 502, 503 may have various communication client applications installed thereon, such as a warehouse application, a shopping application, a web browser application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal devices 501, 502, 503 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 505 may be a server providing various services, such as a background management server providing support for a warehouse-like website browsed by a user using the terminal device 501, 502, 503. The backend management server may analyze and perform other processing on the received data such as the operation cycle query request of the work station, and feed back a processing result (e.g., the operation cycle of the work station) to the terminal device 501, 502, 503.
It should be noted that the method for determining a warehouse cache location provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, a device for determining a warehouse cache location is generally disposed in the server 505.
It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 6 is a schematic structural diagram of a computer system suitable for implementing the terminal device or the server according to the embodiment of the present invention, and as shown in fig. 6, the computer system 600 of the terminal device or the server according to the embodiment of the present invention includes:
a Central Processing Unit (CPU)601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an acquisition module, a data processing module, and a determination module. The names of these modules do not in some cases constitute a definition of the module itself, for example, a data processing module may also be described as a "module for determining a first number and a second number of buffer locations required for the transport vehicle based on the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring the operation period of a work station in the warehouse, the transportation period of a transportation vehicle and the fluctuation amount of the transportation period; the transportation cycle fluctuation amount is obtained according to historical transportation data; determining a first number of cache positions required by the transport vehicle according to the operation period and the fluctuation amount of the transport period; determining a second number of cache positions required by the transport vehicle according to the operation period and the transport period; determining the target number of the cache positions by taking the first number as the lower limit of the cache positions and taking the second number as the upper limit of the cache positions; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
In the existing picking operation of the warehouse work station, the determination of the number of cache positions and transport vehicles is an important factor influencing the warehouse operation efficiency and capacity, excessive allocation can cause resource idle waste, and fixed cost is increased; too few arrangements will cause waiting for personnel and insufficient productivity. However, in an actual production scenario, due to fluctuation of a transportation cycle of a transportation vehicle and an operation cycle of a work station, a measurement and calculation deviation of an existing cache location configuration is large, and when a warehouse capacity is calculated, due to the deviation of the cache location configuration, when the number of the transportation vehicles is determined and then the warehouse capacity is determined, a full-load operation of the warehouse is often taken as a target, so that a great waste of warehouse resources is caused, the warehouse operation efficiency is reduced, the full-load operation of 24 hours is often not performed in actual production, backlog or a situation of vehicles such as people is allowed to exist, and the actual warehouse capacity cannot be balanced by the existing cache location configuration.
According to the cache location determining method and the capacity determining method, the reasonable matching scheme of the number of the working sites, the cache locations and the transport vehicles is determined by analyzing the whole process of the transport vehicles and adding the cache locations, the waiting time and other consideration factors, so that warehouse planning and actual operation can be guided. By reasonably configuring the buffer position, the change of the fluctuation amount of the transportation period is responded, and the transportation vehicle can enter the buffer position to wait when entering the station in advance, or the transportation vehicle on the buffer position can be provided for the operation of the work station when the transportation vehicle enters the station in delay; and moreover, the requirements of the transport vehicle parking and continuous operation are met by considering the upper limit extreme value of the cache position. By considering the allowable waiting time of the work station, warehouse resources and warehouse cost can be reduced, and the number of the work station, the cache site and the transport vehicle can be adjusted in real time to match the capacity requirement aiming at the scene with low capacity requirement.
According to the technical scheme of the embodiment of the invention, the operation cost of the warehouse can be reduced, the operation efficiency of the warehouse is improved, the picking operation is matched with the optimal capacity of the warehouse, and the method and the device are used for providing guidance for planning layout of the warehouse, optimizing the existing warehouse resources and the like.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A method for determining a cache location of a warehouse, comprising:
acquiring an operation period of a work station in the warehouse, a transportation period of a transportation vehicle and a transportation period fluctuation amount of the transportation period; the transportation cycle fluctuation amount is obtained according to historical transportation data;
determining a first number and a second number of cache positions required by the transport vehicle according to the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station;
determining the target number of the cache positions by taking the first number as a first extreme value of the cache positions and taking the second number as a second extreme value of the cache positions; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
2. The method of claim 1, wherein determining the first and second number of required buffer locations for the transport vehicle based on the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station comprises:
determining a first number of cache positions required by the transport vehicle according to the operation period and the fluctuation amount of the transport period;
and determining a second number of required buffer positions of the transport vehicle according to the operation period and the transport period.
3. The method of claim 2, wherein the operational cycle includes an item operation duration, a cache transit duration from a cache location to the work site; the transport cycle comprises: a first transportation time from the warehouse area of the warehouse to the cache location, and a second transportation time from the work station to the warehouse area; determining a second number of required buffer locations for the transport vehicle based on the operation cycle and the transport cycle, comprising:
and determining the second quantity according to the sum of the first transportation time length and the second transportation time length and the sum of the item operation time length and the cache transportation time length.
4. The method of claim 3, wherein determining the first number of buffer locations required for the transport vehicle based on the operation cycle and the amount of fluctuation in the transport cycle comprises:
and determining the first quantity according to the sum of the article operation time length and the cache transportation time length and the transportation cycle fluctuation amount.
5. The method of claim 4, wherein the operation cycle further comprises: allowing a wait duration;
and determining the first quantity according to the allowable waiting time length, the sum of the item operation time length and the cache transportation time length and the transportation cycle fluctuation amount.
6. The method of claim 1, further comprising:
determining the total number of the transport vehicles corresponding to the work station according to the target number;
and determining a first capacity corresponding to the warehouse according to the total quantity.
7. The method of claim 6, further comprising:
determining a maximum number of transport vehicles operable for the work station within the set length of time;
determining a second capacity of the warehouse according to the maximum quantity;
and taking the smaller value of the first capacity and the second capacity as the predicted capacity of the warehouse.
8. The method of claim 7, further comprising:
and updating the target number of the cache sites according to the difference value between the predicted capacity and the actual capacity.
9. The method of any of claims 1 to 8, further comprising:
and scheduling the transport vehicles in the warehouse according to the target number of the cache positions.
10. An apparatus for determining a location of a cache in a warehouse, comprising:
the acquisition module acquires the operation period of a work station in the warehouse, the transportation period of a transportation vehicle and the fluctuation amount of the transportation period; the transportation cycle fluctuation amount is obtained according to historical transportation data;
the data processing module is used for determining a first number and a second number of cache positions required by the transport vehicle according to the transport cycle fluctuation amount of the transport vehicle and the operation cycle of the work station;
a determining module, configured to determine a target number of the cache locations by using the first number as a first extreme value of the cache locations and using the second number as a second extreme value of the cache locations; wherein the buffer storage position is used for parking the transport vehicle in a waiting state.
11. An electronic device for determining a location of a warehouse cache, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-9.
12. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-9.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114219353A (en) * | 2021-12-28 | 2022-03-22 | 曾云莲 | Logistics management method based on big data and intelligent warehousing |
| CN114331270A (en) * | 2021-12-28 | 2022-04-12 | 曾云莲 | Warehouse management system based on intelligent manufacturing |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114219353A (en) * | 2021-12-28 | 2022-03-22 | 曾云莲 | Logistics management method based on big data and intelligent warehousing |
| CN114331270A (en) * | 2021-12-28 | 2022-04-12 | 曾云莲 | Warehouse management system based on intelligent manufacturing |
| CN114219353B (en) * | 2021-12-28 | 2023-04-28 | 上海置潮信息科技有限公司 | Logistics management method based on big data and intelligent warehouse |
| CN114331270B (en) * | 2021-12-28 | 2023-09-01 | 上海赢链通网络科技有限公司 | Warehouse management system based on intelligent manufacturing |
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