CN110956352A - Detection method for warehouse shelving and shelving strategy efficiency - Google Patents

Detection method for warehouse shelving and shelving strategy efficiency Download PDF

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CN110956352A
CN110956352A CN201910399372.9A CN201910399372A CN110956352A CN 110956352 A CN110956352 A CN 110956352A CN 201910399372 A CN201910399372 A CN 201910399372A CN 110956352 A CN110956352 A CN 110956352A
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向超
施甘图
庭治宏
李贞昊
曾静涛
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Lahuobao Network Technology Co ltd
Hongtu Logistics Co ltd
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Abstract

The invention provides a method for detecting the efficiency of a warehouse shelving strategy, and belongs to the field of intelligent warehouse management. The invention sends order data to the warehouse racking and racking algorithm through a set of complete system of data synchronization, simulated service operation and compliance verification, and receives the data returned by the algorithm and the recommended positions, thereby evaluating whether the positions recommended by the algorithm meet the rules and whether the strategy efficiency of the algorithm is excellent, and continuously optimizing the warehouse racking and racking algorithm according to the judged compliance and the evaluated strategy efficiency result, so that the efficiency of warehouse racking and racking operation reaches a higher level.

Description

Detection method for warehouse shelving and shelving strategy efficiency
Technical Field
The invention belongs to the field of intelligent management of warehouses, and particularly relates to a method for detecting the efficiency of a warehouse shelving strategy.
Background
The warehouse is loaded and unloaded through the warehouse-in operation, warehouse-out operation, warehouse allocation, inventory allocation, virtual warehouse management and other functions, and the management system comprehensively utilizes the functions of batch management, material correspondence, inventory checking, quality inspection management, virtual warehouse management, instant inventory management and the like, effectively controls and tracks the whole process of logistics and cost management of warehouse services, and realizes or perfects enterprise warehouse information management. The system can independently execute inventory operation, can be used in combination with bills and certificates of other systems, and can provide more complete enterprise logistics management flow and financial management information for enterprises.
For warehouse shelving, there is a very important index to pay attention to, that is, the strategy performance, which is used to evaluate whether the warehouse shelving operation is compliant and whether the performance of the strategy being implemented is excellent. When an enterprise uses a warehouse shelf loading and unloading management system, a set of detection methods for warehouse shelf loading and unloading strategy efficiency is lacked, and generally, whether each operation is in compliance or not and whether the efficiency is excellent or not are judged according to management personnel of a warehouse, so that a set of relatively perfect methods are needed for detecting the efficiency and the compliance of each operation.
The set of detection method not only evaluates the strategy efficiency, but also comprises data synchronization (the data synchronization aims at synchronizing the data of the production library to the calculation library, so that the calculation and reading of the algorithm are convenient), simulation business operation and final strategy efficiency evaluation.
Disclosure of Invention
The invention aims to provide a method for detecting the strategy efficiency of the warehouse on/off shelves, which is used for evaluating the strategy efficiency indexes of the warehouse on/off shelves so as to judge whether the operation is in compliance each time and whether the effect is excellent. The method not only comprises strategy performance detection, but also comprises the steps of initial data synchronization, simulated business operation and strategy performance evaluation after operation.
A detection method for warehouse shelf loading and unloading strategy efficiency comprises the following steps:
s1, configuring a configuration file, forming a mapping relation between data fields in a production library and a calculation library, and synchronizing data in the production library to the calculation library;
s2, monitoring whether an order is generated in the production library in real time, generating order data when the generation of the order is monitored, generating an operation result according to the order data by an operation module, and carrying out corresponding shelving operation according to the operation result;
s3, evaluating the compliance of the operation result to obtain a compliance evaluation result; if the compliance evaluation result does not meet the preset compliance requirement, entering step S5; if the compliance evaluation result meets the preset compliance requirement, entering step S4;
s4, evaluating the strategy efficiency of the operation result to obtain an efficiency evaluation result; if the performance evaluation result does not satisfy the preset performance requirement, go to step S5;
s5, optimizing the operation module generating the operation result according to the order data, and returning the process to the step S2.
Further, the step S1 includes:
configuring the data field mapping relation of the production library and the calculation library to generate a configuration file;
acquiring data in the production library according to the configuration file;
generating an operation command statement according to the acquired data and configuration files in the production library;
executing the operation command statement, and synchronizing the acquired data in the production library to the calculation library;
and monitoring the data change in the production library in real time, and updating the changed data to the calculation library synchronously when the data in the production library changes.
Further, the step S2 includes:
monitoring whether an order is generated in the production library in real time, generating order data when a new order is generated, packaging the order data into a preset data format, generating an operation result according to the order data by an operation module, and carrying out corresponding shelving operation according to the operation result.
Further, the shelving operation comprises warehousing, ex-warehouse, warehouse allocation, stock allocation or virtual warehouse management.
Further, the step S3 includes:
s31, evaluating the compliance of the operation result to obtain a compliance evaluation result, and judging whether the compliance evaluation result meets the preset compliance requirement or not;
s32, if the compliance assessment result meets the preset compliance requirement, entering the step S4;
and S33, if the compliance assessment result does not meet the preset compliance requirement, the step proceeds to S5.
Further, the step of enabling the operation result to meet the preset compliance requirement includes:
the stock of the warehouse meets the quantity requirement of the order or the residual capacity of the warehouse meets the quantity requirement of the order;
the stock of the warehouse meets the quantity requirement of the order or the residual capacity of the warehouse meets the quantity requirement of the order, namely the order goods quantity Nog
The compliance of the lot number of the operation result meets the earliest priority of the lot, namely, the compliance C of the lot numberbnOccupied weight is W1
The quantity of the material at the storage position meets the quantity of the material at the storage position in the operation result or the quantity of the material which can be contained by the storage position meets the quantity of the material required to be put in the storage position in the operation result, namely, the storage position quantity compliance Cln
Number of stops outside the garage door compliance, i.e. garage door number of stops compliance CgpnOccupied weight is W2
Warehouses with correctly warehoused materials, i.e. material-matching warehouses Wsm
The quality of the material is qualified, namely the quality compliance CqOccupied weight is W3
Total compliance Wc is expressed as
Wc=(Nog&&Cln&&Wsm)*(W1*Cbn+W2*Cgpn+Cq*W3)
When Wc is larger than or equal to W, the operation result meets the requirement of preset compliance; otherwise, the operation result does not meet the requirement of preset compliance; wherein W is a preset compliance threshold.
Further, the step S4 includes:
s41, evaluating the strategy performance of the operation result to obtain a performance evaluation result, and judging whether the performance evaluation result meets the preset performance requirement;
s42, if the performance evaluation result does not meet the preset performance requirement, entering the step S5;
s43, if the performance evaluation result meets the preset performance requirement, returning to the step S2.
Further, the predetermined performance requirements include:
space full utilization and time cost;
the space full utilization comprises a non-integer channel number, an integer channel number and library bit dispersion;
the time penalty is the time required to perform the racking operation of the operation result.
Further, the library bit dispersion is:
Figure RE-GDA0002084786230000041
wherein D iswldAs a bin spread, DlrdIs the relative dispersion of the bin positions, DladIs the absolute dispersion of the library positions;
when D is presentwld<D, the bin dispersion meets the preset efficiency requirement; otherwise, the library bit dispersion does not meet the preset efficiency requirement; wherein D is a preset dispersion threshold.
The invention has the beneficial effects that: the invention provides a method for detecting warehouse shelf loading and unloading strategy efficiency, which sends order data to a warehouse shelf loading and unloading algorithm through a complete system of data synchronization, simulated business operation and compliance verification, receives data returned by the algorithm and recommended positions, evaluates whether the positions recommended by the algorithm meet the rules and whether the strategy efficiency of the algorithm is excellent, and continuously optimizes the warehouse shelf loading and unloading algorithm according to the judged compliance and the evaluated strategy efficiency result, so that the efficiency of warehouse shelf loading and unloading operation reaches a higher level.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Fig. 2 is a flowchart of step S1 in fig. 1.
FIG. 3 is a diagram illustrating library locations according to an embodiment of the present invention.
FIG. 4 is another library bit illustration according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides a method for detecting the efficiency of a warehouse shelving strategy, which is implemented by the following steps:
s1, configuring configuration files, forming a mapping relation between the data fields in the production library and the calculation library, and synchronizing the data in the production library to the calculation library.
Referring to fig. 2, step S1 is implemented by the following sub-steps:
s11, configuring the data field mapping relation of the production library and the calculation library to generate a configuration file;
in this embodiment, according to the database types of the production library and the calculation library, the data fields of the production library and the data fields of the calculation library are mapped, and an XML configuration relationship file is formed.
S12, acquiring data in the production library according to the configuration file;
in this embodiment, data to be synchronized to the calculation library is obtained by summarizing from the production library according to the XML configuration relationship file.
And S13, generating an operation command statement according to the acquired data and configuration files in the production library.
In this embodiment, an operation command statement (SQL statement) of the computing library is generated according to the obtained data in the production library and the XML configuration relationship file.
S14, executing the operation command statement, and synchronizing the acquired data in the production library to the calculation library;
in this embodiment, the SQL statement is executed, and the acquired data of the production library is synchronized to the calculation library.
And S15, monitoring the data change in the production library in real time, and synchronously updating the changed data to the calculation library when the data in the production library changes.
In this embodiment, the data in the production library is monitored in real time, and once the data changes, the changed data is synchronized to the calculation library.
And S2, monitoring whether an order is generated in the production library in real time, generating order data when the order is generated, generating an operation result according to the order data by the operation module, and carrying out corresponding shelving and shelving operation according to the operation result.
In this embodiment, after the data synchronization is completed, a simulation service operation, that is, a simulation call, is performed. Step S2 includes:
s21, monitoring whether an order is generated in the production library in real time;
s22, when a new order is generated, obtaining order data, packaging the order data into a preset data format, sending the packaged order data to a corresponding interface of an arithmetic module (namely, an algorithm), recommending a corresponding library position by the algorithm according to data in a calculation library, and carrying out corresponding on-shelf and off-shelf operation, warehousing, ex-warehouse, warehouse allocation, stock allocation or virtual warehouse management and the like according to an arithmetic result;
and S23, if no new order is generated, continuing monitoring.
S3, evaluating the compliance of the operation result to obtain a compliance evaluation result; if the compliance evaluation result does not meet the preset compliance requirement, the method goes to step S5; if the compliance evaluation result meets the preset compliance requirement, the process proceeds to step S4.
Step S3 includes:
s31, evaluating the compliance of the operation result to obtain a compliance evaluation result, and judging whether the compliance evaluation result meets the preset compliance requirement or not;
in this example, the variable W for Compliance (Compliance)cThe method comprises the following steps:
the stock of the warehouse meets the quantity requirement of the Order or the residual capacity of the warehouse meets the quantity requirement of the Order, namely the quantity of the Order Goods (Order _ Goods _ Num/N)og) By the variable NogRepresents, satisfies the number requirement Nog1, otherwise NogSince this compliance index is absolute priority, there are only two outcomes, not weighted;
the lot number of the operation result satisfies the earliest lot priority, i.e. the lot number Compliance (Batch _ No _ Compliance/C)bn) By means of the variable CbnDenotes that the weight occupied is W1
The quantity of the material in the storage position meets the quantity of the material under the storage position in the operation result or the quantity of the material which can be accommodated by the storage position meets the quantity of the material required to be stored in the storage position in the operation result, namely, the storage position quantity Compliance (Location _ Num _ company/C)ln) By means of the variable ClnExpressing and satisfying the requirement C of the number of the bin positionsln1, otherwise ClnSince this compliance index is absolute priority, there are only two outcomes, not weighted;
garage door parking number Compliance (Gate _ Park _ Num _ Compliance/C)gpn) By means of the variable CgpnDenotes that the weight occupied is W2
The materials are put into the correct Warehouse, namely the materials matching Warehouse (Sku _ Match _ Warehouse/W)sm) By variable WsmExpressing and satisfying the requirement W of the number of the bin positionssm1, otherwise WsmSince this compliance index is absolute priority, there are only two outcomes, not weighted;
the Quality of the material is qualified, i.e. Quality Compliance (Quality _ Compliance/C)q) By means of the variable CqDenotes that the weight occupied is W3
The expression for compliance judgment can be derived as:
Wc=(Nog&&Cln&&Wsm)*(W1*Cbn+W2*Cgpn+Cq*W3)
and judging whether the operation is in compliance according to a set threshold value, wherein the set compliance threshold value is W. When Wc is larger than or equal to W, the operation is in compliance, otherwise the operation is out of compliance.
S32, if the compliance evaluation result meets the preset compliance requirement, entering the step S4;
and S33, if the compliance evaluation result does not meet the preset compliance requirement, the step is proceeded to S5.
S4, evaluating the strategy efficiency of the operation result to obtain an efficiency evaluation result; if the performance evaluation result does not satisfy the predetermined performance requirement, the process proceeds to step S5.
In this embodiment, after the regularity is judged, the strategy performance is evaluated. Evaluation efficacy was compared from the evaluation group and the intelligent group of the present invention. The data of the evaluation group can be set, and can also be data obtained when workers in the warehouse carry out the racking operation. The performance of the invention is the result obtained by executing the operation of the upper and lower shelves according to the result obtained by the operation. The performance indexes evaluated are space full utilization and time cost, and specifically are as follows:
the space full utilization: the number of non-integer channels (an index for describing whether the library bit is fully utilized), the dispersion of the library bit (an index for describing a space dispersion state), and the number of integer channels (an index for describing whether the library bit is fully utilized).
In this embodiment, when the goods a occupies the whole channel of the storage space, the channel is called as the "whole channel" of the goods a; when the goods A do not occupy the whole channel of the stock position, the channel is called as a non-whole channel of the goods A. In a designated warehouse, the number of all the 'whole channels' of the A goods is recorded as the number of the whole channels of the A goods and is recorded as X1And the number of all the non-whole channels of the goods A is recorded as the number of the non-whole channels of the goods A and is recorded as Y1. Then the loss function for the integer and non-integer channels is calculated as:
Figure RE-GDA0002084786230000081
the larger the value of the loss function is, the more the number of the non-integral channels is, the less the library bit is fully utilized, otherwise, the full library bit is fully utilized.
Referring to fig. 3 and 4, white represents empty storage locations, and black represents storage locations where goods are stored. In fig. 3, three white empty bin bits in succession are counted as only one bin bit in the relative bin bit dispersion, and the relative dispersion is 1, but in the absolute bin bit dispersion, the absolute dispersion of any one bin bit is 1, that is, the absolute dispersion empty bin bit is 3. In fig. 4, three white empty bin bits are separated, and are absolute discrete empty bin bits, i.e. 3 empty bin bits are counted.
Relative library position dispersion: as shown in fig. 3, if there are a plurality of empty bin bits or non-empty bin bits arranged together in succession, these successive bin bits are regarded as a relative bin bit with a dispersion of 1.
Absolute bin spread: as shown in fig. 3 and 4, the absolute dispersion of any one bin bit is 1.
In both warehouse-out and warehouse-in, the warehouse location dispersion is considered. The higher the dispersion of the warehouse location, the more discontinuous the discharge of the goods in the warehouse is, and the goods are not convenient to take and put.
Warehouse bit dispersion (Warehouse _ Location _ Dispersion _ Degreee/D)wld) The overall degree of dispersion of all the positions in the warehouse.
Relative dispersion of library bits (Location _ Relative _ Dispersion _ Degreee/D)lrd) The continuous empty storage positions or the storage positions for placing goods are regarded as one storage position, and the relative dispersion of a continuous storage position group is 1.
Location _ absolute _ Dispersion _ Degreee/Dlad) That is, the absolute dispersion of any bin bit is 1 regardless of the discontinuity.
Figure RE-GDA0002084786230000091
When D is presentwld<D, the dispersion of the library bit satisfiesIf not, the efficiency is not satisfied. Wherein D is a preset library bit dispersion threshold value.
Time cost: the time required for the cargo operation, an index describing the cost of time, is the sum of the time spent in each bay.
In this embodiment, knowing the height h of the warehouse where the goods is located, the actual horizontal moving distance x from the warehouse to the designated door, the working efficiency y of workers (the higher the efficiency, the larger y), the current number of operations of the warehouse (the larger the number of operations, the larger z, the larger the number of operations may affect the operation event), the accessibility c of the goods (the easier the goods are taken, the lower the value of c is), and the time T when the forklift is jammed due to congestion of the warehouse, the completion time T for operating one warehouse may be the following formula:
T=w1*h+w2*x+w3*(1-y)+w4*z+w5*c+w6*t
wherein, w1、w2、w3、w4、w5、w6Are the corresponding weights.
And after the summation of the time of all the warehouse positions needing to be operated for a certain type of goods, obtaining the operation time of the certain goods.
Step S4 includes:
s41, evaluating the strategy efficiency of the operation result to obtain an efficiency evaluation result, and judging whether the efficiency evaluation result meets the preset efficiency requirement;
s42, if the performance evaluation result does not satisfy the preset performance requirement, go to step S5.
And S43, if the performance evaluation result meets the preset performance requirement, namely the compliance evaluation result also meets the preset compliance requirement, repeating the steps S2-S5, and continuously optimizing the algorithm.
In this embodiment, the evaluation of the operation result may be performed after the operation result is obtained and the racking operation is performed each time, or a period may be set, and the evaluation may be performed periodically after the operation result is obtained and the racking operation is performed each time in the period.
S5, the operation module generating the operation result according to the order data is optimized, and the flow returns to the step S21.
In this embodiment, for the operation result that does not satisfy the preset compliance requirement and the preset performance requirement, the algorithm is optimized according to the evaluation result.
It will be appreciated by those of ordinary skill in the art that the examples provided herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited examples and embodiments. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.

Claims (9)

1. A detection method for warehouse shelving strategy efficiency is characterized by comprising the following steps:
s1, configuring a configuration file, forming a mapping relation between data fields in a production library and a calculation library, and synchronizing data in the production library to the calculation library;
s2, monitoring whether an order is generated in the production library in real time, generating order data when the generation of the order is monitored, generating an operation result according to the order data by an operation module, and carrying out corresponding shelving operation according to the operation result;
s3, evaluating the compliance of the operation result to obtain a compliance evaluation result; if the compliance evaluation result does not meet the preset compliance requirement, entering step S5; if the compliance evaluation result meets the preset compliance requirement, entering step S4;
s4, evaluating the strategy efficiency of the operation result to obtain an efficiency evaluation result; if the performance evaluation result does not satisfy the preset performance requirement, go to step S5;
s5, optimizing the operation module generating the operation result according to the order data, and returning the process to the step S2.
2. The method for testing the effectiveness of the warehouse racking strategy of claim 1, wherein the step S1 comprises:
configuring the data field mapping relation of the production library and the calculation library to generate a configuration file;
acquiring data in the production library according to the configuration file;
generating an operation command statement according to the acquired data and configuration files in the production library;
executing the operation command statement, and synchronizing the acquired data in the production library to the calculation library;
and monitoring the data change in the production library in real time, and updating the changed data to the calculation library synchronously when the data in the production library changes.
3. The method for testing the effectiveness of the warehouse racking strategy of claim 1, wherein the step S2 comprises:
s21, monitoring whether an order is generated in the production library in real time;
and S22, when a new order is generated, generating order data, packaging the order data into a preset data format, generating an operation result according to the order data by the operation module, and performing corresponding shelving operation according to the operation result.
4. The method for detecting the effectiveness of the warehouse shelving strategy according to claim 3, wherein the shelving operations include warehousing, ex-warehouse, warehouse allocation, stock allocation or virtual warehouse management.
5. The method for testing the effectiveness of the warehouse racking strategy of claim 1, wherein the step S3 comprises:
s31, evaluating the compliance of the operation result to obtain a compliance evaluation result, and judging whether the compliance evaluation result meets the preset compliance requirement or not;
s32, if the compliance assessment result meets the preset compliance requirement, entering the step S4;
and S33, if the compliance assessment result does not meet the preset compliance requirement, the step proceeds to S5.
6. The method for detecting the effectiveness of the warehouse shelving strategy according to claim 5, wherein the step of calculating that the operation result meets the preset compliance requirement comprises:
the stock of the warehouse meets the quantity requirement of the order or the residual capacity of the warehouse meets the quantity requirement of the order, namely the order goods quantity Nog
The compliance of the lot number of the operation result meets the earliest priority of the lot, namely, the compliance C of the lot numberbnOccupied weight is W1
The quantity of the material at the storage position meets the quantity of the material at the storage position in the operation result or the quantity of the material which can be contained by the storage position meets the quantity of the material required to be put in the storage position in the operation result, namely, the storage position quantity compliance Cln
Number of stops outside the garage door compliance, i.e. garage door number of stops compliance CgpnOccupied weight is W2
Warehouses with correctly warehoused materials, i.e. material-matching warehouses Wsm
The quality of the material is qualified, namely the quality compliance CqOccupied weight is W3
Total compliance Wc is expressed as
Wc=(Nog&&Cln&&Wsm)*(W1*Cbn+W2*Cgpn+Cq*W3)
When Wc is larger than or equal to W, the operation result meets the requirement of preset compliance; otherwise, the operation result does not meet the requirement of preset compliance; wherein W is a preset compliance threshold.
7. The method for testing the effectiveness of the warehouse racking strategy of claim 1, wherein the step S4 comprises:
s41, evaluating the strategy performance of the operation result to obtain a performance evaluation result, and judging whether the performance evaluation result meets the preset performance requirement;
s42, if the performance evaluation result does not meet the preset performance requirement, entering the step S5;
s43, if the performance evaluation result meets the preset performance requirement, returning to the step S2.
8. The method for testing the effectiveness of the warehouse racking strategy of claim 7, wherein the predetermined effectiveness requirement comprises:
space full utilization and time cost;
the space full utilization comprises a non-integer channel number, an integer channel number and library bit dispersion;
the time penalty is the time required to perform the racking operation of the operation result.
9. The method for testing the effectiveness of the warehouse shelving strategy according to claim 8, wherein the library bit dispersion is:
Figure FDA0002059242690000031
wherein D iswldAs a bin spread, DlrdIs the relative dispersion of the bin positions, DladIs the absolute dispersion of the library positions;
when D is presentwld<D, the bin dispersion meets the preset efficiency requirement; otherwise, the library bit dispersion does not meet the preset efficiency requirement; wherein D is a preset dispersion threshold.
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