Warehouse construction comprehensive benefit evaluation method and device

Abstract

The invention discloses a storage construction comprehensive benefit evaluation method and device, and the method comprises the steps: S1, obtaining a marking index tree in response to user operation; s2, processing the marked index tree to obtain a redistribution index tree; and S3, processing the redistribution index tree to obtain a comprehensive benefit value. According to the method, on-demand assessment of storage construction comprehensive benefits can be realized, and rationality and accuracy of assessment results are improved.

Description

Technical Field

[0001] The present invention belongs to the field of warehousing and logistics, and specifically relates to a method and device for evaluating the comprehensive benefits of warehousing construction. Background Art

[0002] Comprehensive benefit assessment of warehousing construction is extremely important, as it comprehensively measures the economic value and social benefits of warehousing construction projects. By comprehensively considering factors such as warehousing facility construction costs, operational efficiency, inventory turnover, and logistics distribution capabilities, it is possible to accurately determine whether warehousing construction has truly achieved optimal resource allocation and generated the expected economic returns for enterprises and society. For example, a reasonable warehouse layout can reduce transportation costs and improve inventory management efficiency, thereby enhancing a company's market competitiveness. Furthermore, efficient warehousing facilities can promote the coordinated development of regional logistics, drive the prosperity of related industries, and create more employment opportunities and economic benefits for society.

[0003] In order to comprehensively evaluate the comprehensive benefits of warehousing construction, it is necessary to use a multi-faceted indicator system and conduct evaluations at different indicator levels. However, in actual evaluations, it may only be necessary to evaluate some aspects and levels of the complete indicator system. Therefore, studying how to conduct on-demand comprehensive benefit evaluations of warehousing construction is of great practical significance. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for evaluating the comprehensive benefits of warehousing construction, which can realize on-demand evaluation of the comprehensive benefits of warehousing construction and improve the rationality and accuracy of the evaluation results.

[0005] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a method for comprehensive benefit evaluation of warehousing construction, the method comprising:

[0006] S1. In response to a user operation, obtain a marking indicator tree; the marking indicator tree includes a root node, a plurality of first-level child nodes, and a plurality of second-level child nodes; the first-level child nodes and the second-level child nodes of the marking indicator tree are marked as activated or inactivated; the first child node includes a weight value; the second child node includes the weight value, a type value, and a score value sequence; the type value is -1, 0, or 1; the score value sequence includes K score values; K is an integer greater than 1;

[0007] S2. Processing the marked indicator tree to obtain a reallocation indicator tree;

[0008] S3. Process the reallocation indicator tree to obtain a comprehensive benefit value.

[0009] As an optional implementation manner, in the first aspect of the embodiment of the present invention, processing the marking indicator tree to obtain the reallocation indicator tree includes:

[0010] S21, performing consistency correction processing on the marked indicator tree to obtain a corrected indicator tree;

[0011] S22, pruning the modified indicator tree to obtain a pruned indicator tree;

[0012] S23: Perform weight distribution processing on the pruning indicator tree to obtain a redistribution indicator tree.

[0013] As an optional implementation manner, in the first aspect of the embodiment of the present invention, performing consistency correction processing on the marking indicator tree to obtain a corrected indicator tree includes:

[0014] S211, initializing the first loop count x to the number of the first-level child nodes of the marking indicator tree;

[0015] S212, initializing the second loop count y to the number of direct child nodes of the x-th first-level child node in the marking indicator tree;

[0016] S213: Determine whether the yth second-level child node corresponding to the xth first-level child node in the marking indicator tree is marked as activated, and obtain a first determination result;

[0017] When the first judgment result is yes, mark the x-th first-level child node of the marking indicator tree as activated; and execute S216;

[0018] When the first judgment result is no, the value of y is reduced by 1;

[0019] S214, repeat S213 until y is equal to 0;

[0020] S215, marking the xth first-level child node of the marking indicator tree as inactivated;

[0021] S216, reduce the value of x by 1;

[0022] S217, repeat S212 to S216 until x is equal to 0;

[0023] S218: Determine the modified indicator tree as the marked indicator tree.

[0024] As an optional implementation manner, in the first aspect of the embodiment of the present invention, pruning the modified indicator tree to obtain a pruned indicator tree includes:

[0025] S221, deleting all the secondary child nodes marked as inactive in the modified indicator tree to obtain an initial pruning indicator tree;

[0026] S222: Delete the first-level child nodes that do not have corresponding second-level child nodes in the initial pruning indicator tree to obtain the pruning indicator tree.

[0027] As an optional implementation manner, in the first aspect of the embodiment of the present invention, performing weight distribution processing on the pruning indicator tree to obtain a redistribution indicator tree includes:

[0028] S231, using a first redistribution model, performing a first redistribution process on the clipping indicator tree to obtain an initial redistribution indicator tree;

[0029] S232: Using a second redistribution model, perform a second redistribution process on the initial redistribution indicator tree to obtain the redistribution indicator tree.

[0030] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the expression of the first redistribution model is:

[0031]

[0032] Where A ii is the weight value of the ii-th first-level child node in the initial redistribution index tree, and ii∈[1,M]; M is the number of the first-level child nodes in the pruning index tree; W ii is the weight value of the ii-th first-level child node in the pruning index tree; i is the weight value of the i-th first-level child node in the pruning indicator tree.

[0033] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the expression of the second redistribution model is:

[0034]

[0035] Where B ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the reallocation index tree, and jj∈[1,N]; N is the number of the direct child nodes of the iith first-level child node in the initial reallocation index tree; V ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the initial redistribution index tree; VV ii,jThe weight value of the jth second-level child node among all the direct child nodes of the iith first-level child node in the initial reallocation index tree.

[0036] As an optional implementation manner, in the first aspect of the embodiment of the present invention, processing the reallocation indicator tree to obtain a comprehensive benefit value includes:

[0037] S31, sequentially concatenating the weights of all the second-level child nodes in the redistribution indicator tree into a weight vector;

[0038] S32, sequentially concatenating the type values ​​of all the second-level child nodes in the reallocation index tree into a type vector;

[0039] S33, sequentially concatenating the interval lower limit values ​​of all the second-level child nodes in the reallocation index tree into an interval lower limit vector; sequentially concatenating the interval upper limit values ​​of all the second-level child nodes in the reallocation index tree into an interval upper limit vector;

[0040] S34. Constructing a scoring matrix based on the reallocation indicator tree;

[0041] S35. Using a standard matrix calculation model, the weight vector, the type vector, the interval lower limit vector, the interval upper limit vector, and the scoring matrix are processed to obtain a standard matrix;

[0042] S36, using a benefit value calculation model to process the standard matrix to obtain a benefit vector;

[0043] S37, calculating the mean of the benefit vector to obtain the comprehensive benefit value.

[0044] A second aspect of an embodiment of the present invention discloses a device for evaluating the comprehensive benefits of warehousing construction, the device comprising:

[0045] a memory storing executable program code;

[0046] a processor coupled to the memory;

[0047] The processor calls the executable program code stored in the memory to execute part or all of the steps in the comprehensive benefit evaluation method for warehousing construction disclosed in the first aspect of the embodiment of the present invention.

[0048] The third aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the comprehensive benefit evaluation method of warehousing construction disclosed in the first aspect of an embodiment of the present invention.

[0049] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0050] According to the evaluation needs, the corresponding indicators are flexibly selected to obtain the marked indicator tree, and further processed to obtain the redistributed indicator tree and comprehensive benefit value, which is conducive to the on-demand evaluation of the comprehensive benefits of warehousing construction and the improvement of the rationality and accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings that need to be activated in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 It is a flow chart of a method for evaluating the comprehensive benefits of warehousing construction disclosed in an embodiment of the present invention.

[0053] Figure 2 It is a structural schematic diagram of a warehousing construction comprehensive benefit evaluation device disclosed in an embodiment of the present invention.

[0054] Figure 3 It is a structural schematic diagram of another storage construction comprehensive benefit evaluation device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0057] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0058] Example 1

[0059] See also Figure 1 , Figure 1 This is a flow chart of a method for evaluating the comprehensive benefits of warehousing construction disclosed in an embodiment of the present invention. Figure 1 The described method for evaluating the comprehensive benefits of warehousing construction is applied to the field of warehousing logistics, such as the site selection of material storage warehouses, and is not limited in the embodiments of the present invention. Figure 1 As shown, the method includes:

[0060] S1. In response to a user operation, obtain a marking indicator tree; the marking indicator tree includes a root node, a plurality of first-level child nodes, and a plurality of second-level child nodes; the first-level child nodes and the second-level child nodes of the marking indicator tree are marked as activated or inactivated; the first child node includes a weight value; the second child node includes the weight value, a type value, and a score value sequence; the type value is -1, 0, or 1; the score value sequence includes K score values; K is an integer greater than 1;

[0061] It should be noted that the first-level child nodes are direct child nodes of the root node; and the second-level child nodes are direct child nodes of the first-level child nodes.

[0062] It should be noted that each of the above-mentioned first-level sub-nodes is used to represent a first-level indicator of the comprehensive benefit evaluation of warehousing construction; each of the above-mentioned second-level sub-nodes is used to represent a second-level indicator of the comprehensive benefit evaluation of warehousing construction.

[0063] It should be noted that the above-mentioned first-level sub-node or second-level sub-node is marked as activated, indicating that the corresponding first-level indicator or second-level indicator is introduced into the evaluation process; the above-mentioned first-level sub-node or second-level sub-node is marked as inactivated, indicating that the corresponding first-level indicator or second-level indicator is not introduced into the evaluation process.

[0064] It should be noted that when the above type value is -1, 0 or 1, it indicates that the corresponding indicator type is a positive indicator, an interval indicator and a negative indicator respectively; the above positive indicator means that the larger the score value of the corresponding score value sequence, the better; the above interval indicator means that the closer the score value of the corresponding score value sequence is to the corresponding numerical interval, the better; the above negative indicator means that the smaller the score value of the corresponding score value sequence, the better.

[0065] It should be noted that the K scoring values ​​in the above-mentioned scoring value sequence are respectively used to represent the K evaluation results of the secondary indicators corresponding to the second child node; the above-mentioned K scoring values ​​can be obtained by K experts evaluating the secondary indicators at the same time, or by the same expert evaluating the secondary indicators at K different times, and the embodiment of the present invention does not limit this.

[0066] S2. Processing the marked indicator tree to obtain a reallocation indicator tree;

[0067] S3. Process the reallocation indicator tree to obtain a comprehensive benefit value.

[0068] It should be noted that each first-level sub-node corresponds to one first-level indicator for evaluating the comprehensive benefits of warehousing construction; each direct sub-node of each first-level sub-node corresponds one-to-one to the second-level indicator under the first-level indicator corresponding to the first-level sub-node.

[0069] Taking Table 1 as an example, the comprehensive benefit evaluation indicators of warehousing construction include three first-level indicators of warehousing, distribution and guarantee, as well as 20 second-level indicators. Therefore, the marking indicator tree includes 3 first-level sub-nodes and 20 second-level sub-nodes; the first-level warehousing indicators include total throughput, material inventory, supply plan realization rate, incoming and outgoing shipment error rate, inventory turnover time, incoming and outgoing shipment speed, storage capacity utilization rate, inventory structure rationality, warehousing cost and other 9 second-level sub-nodes. Therefore, under the first-level sub-node corresponding to the first-level warehousing indicator, there are 9 second-level sub-nodes as its direct sub-nodes; similarly, the first-level sub-node corresponding to the first-level distribution indicator has 5 second-level sub-nodes as its direct sub-nodes, and the first-level sub-node corresponding to the first-level guarantee indicator has 6 second-level sub-nodes as its direct sub-nodes. Furthermore, the above-mentioned comprehensive benefit evaluation indicators of warehousing construction can also add first-level indicators and second-level indicators such as the contribution rate of the warehousing resource system, the target efficiency of the warehousing force planning and layout, the comprehensive conditions of the warehousing force, the warehousing force layout planning, the completion rate of the warehousing force planning and layout construction targets, the contribution of the warehousing force system, and the quality of warehousing force construction, which are not limited in the embodiments of the present invention.

[0070] Table 1 Comprehensive benefit evaluation indicators of warehousing construction

[0071]

[0072] It can be seen that the implementation of the comprehensive benefit evaluation method for warehousing construction described in the embodiment of the present invention can flexibly select corresponding indicators to obtain a marked indicator tree according to needs, and further process it to obtain a redistributed indicator tree and a comprehensive benefit value, which is conducive to improving the adaptability of the evaluation process, as well as the rationality and accuracy of the evaluation results.

[0073] In an optional embodiment, processing the marking indicator tree to obtain the reallocation indicator tree includes:

[0074] S21, performing consistency correction processing on the marked indicator tree to obtain a corrected indicator tree;

[0075] S22, pruning the modified indicator tree to obtain a pruned indicator tree;

[0076] S23: Perform weight distribution processing on the pruning indicator tree to obtain a redistribution indicator tree.

[0077] It can be seen that the implementation of the comprehensive benefit evaluation method for warehousing construction described in the embodiment of the present invention can improve the rationality and accuracy of the evaluation results by obtaining a redistribution indicator tree through consistency correction, clipping and weight distribution processing.

[0078] In another optional embodiment, the above-mentioned step of obtaining a marking indicator tree in response to a user operation includes:

[0079] S11. Displaying the marking indicator tree on the graphical interface in a tree diagram manner;

[0080] S12. In response to a user's click operation on a first-level child node and a second-level child node in the marking indicator tree, mark each first-level child node and each second-level child node as activated or inactivated.

[0081] Optionally, the first-level child nodes and the second-level child nodes of the marking indicator tree are initially marked as inactive.

[0082] It should be noted that each of the above-mentioned first-level child nodes and second-level child nodes switches its state after the user clicks it; when the clicked first-level child node or second-level child node is marked as activated before the click, it is marked as inactivated after the click; when the clicked first-level child node or second-level child node is marked as inactivated before the click, it is marked as activated after the click.

[0083] In yet another optional embodiment, performing consistency correction processing on the marking indicator tree to obtain a corrected indicator tree includes:

[0084] S211, initializing the first loop count x to the number of the first-level child nodes of the marking indicator tree;

[0085] S212, initializing the second loop count y to the number of direct child nodes of the x-th first-level child node in the marking indicator tree;

[0086] S213: Determine whether the yth second-level child node corresponding to the xth first-level child node in the marking indicator tree is marked as activated, and obtain a first determination result;

[0087] When the first judgment result is yes, mark the x-th first-level child node of the marking indicator tree as activated; and execute S216;

[0088] When the first judgment result is no, the value of y is reduced by 1;

[0089] It should be noted that the yth second-level child node corresponding to the xth first-level child node of the above-mentioned marking indicator tree refers to the yth second-level child node among all direct child nodes of the xth first-level child node of the marking indicator tree.

[0090] S214, repeat S213 until y is equal to 0;

[0091] S215, marking the xth first-level child node of the marking indicator tree as inactivated;

[0092] S216, reduce the value of x by 1;

[0093] S217, repeat S212 to S216 until x is equal to 0;

[0094] S218: Determine the modified indicator tree as the marked indicator tree.

[0095] In yet another optional embodiment, pruning the modified indicator tree to obtain a pruned indicator tree includes:

[0096] S221, deleting all the secondary child nodes marked as inactive in the modified indicator tree to obtain an initial pruning indicator tree;

[0097] S222: Delete the first-level child nodes that do not have corresponding second-level child nodes in the initial pruning indicator tree to obtain the pruning indicator tree.

[0098] It should be noted that the above-mentioned first-level child node has no corresponding second-level child node, which means that there is no second-level child node as a direct child node of the first-level child node.

[0099] It can be seen that the implementation of the comprehensive benefit evaluation method for warehousing construction described in the embodiment of the present invention can avoid, through consistency correction and tailoring processing, the situation where a first-level child node marked as activated does not have a second-level child node marked as activated as its direct child node due to user marking errors, and a first-level child node not marked as activated contains a second-level child node marked as activated as its direct child node, so that unselected indicators are introduced into the evaluation process, or selected indicators are not introduced into the evaluation process.

[0100] In yet another optional embodiment, performing weight distribution processing on the pruning indicator tree to obtain a redistribution indicator tree includes:

[0101] S231, using a first redistribution model, performing a first redistribution process on the clipping indicator tree to obtain an initial redistribution indicator tree;

[0102] S232: Using a second redistribution model, perform a second redistribution process on the initial redistribution indicator tree to obtain the redistribution indicator tree.

[0103] In yet another optional embodiment, the expression of the first redistribution model is:

[0104]

[0105] Where A ii is the weight value of the ii-th first-level child node in the initial redistribution index tree, and ii∈[1,M]; M is the number of the first-level child nodes in the pruning index tree; W ii is the weight value of the ii-th first-level child node in the pruning index tree; i is the weight value of the i-th first-level child node in the pruning indicator tree.

[0106] In yet another optional embodiment, the expression of the second redistribution model is:

[0107]

[0108] Where B ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the reallocation index tree, and jj∈[1,N]; N is the number of the direct child nodes of the iith first-level child node in the initial reallocation index tree; V ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the initial redistribution index tree; VV ii,jThe weight value of the jth second-level child node among all the direct child nodes of the iith first-level child node in the initial reallocation index tree.

[0109] It can be seen that the implementation of the comprehensive benefit evaluation method for warehousing construction described in the embodiment of the present invention, through the first redistribution processing and the second redistribution processing, redistributes the weight values ​​of the first-level child nodes and the second-level child nodes in the clipping index tree, which is beneficial to improving the rationality and accuracy of the evaluation process.

[0110] In yet another optional embodiment, processing the reallocation indicator tree to obtain a comprehensive benefit value includes:

[0111] S31, sequentially concatenating the weights of all the second-level child nodes in the redistribution indicator tree into a weight vector;

[0112] S32, sequentially concatenating the type values ​​of all the second-level child nodes in the reallocation index tree into a type vector;

[0113] S33, sequentially concatenating the interval lower limit values ​​of all the second-level child nodes in the reallocation index tree into an interval lower limit vector; sequentially concatenating the interval upper limit values ​​of all the second-level child nodes in the reallocation index tree into an interval upper limit vector;

[0114] S34. Constructing a scoring matrix based on the reallocation indicator tree;

[0115] It should be noted that the number of rows of the scoring matrix is ​​K, and the number of columns is the number of the second-level child nodes of the redistribution indicator tree; each column of the scoring matrix is ​​composed of the scoring value sequence of the corresponding second-level child node.

[0116] S35. Using a standard matrix calculation model, the weight vector, the type vector, the interval lower limit vector, the interval upper limit vector, and the scoring matrix are processed to obtain a standard matrix;

[0117] It should be noted that the total number of rows and columns of the standard matrix are equal to the total number of rows and columns of the scoring matrix, respectively.

[0118] S36, using a benefit value calculation model to process the standard matrix to obtain a benefit vector;

[0119] S37, calculating the mean of the benefit vector to obtain the comprehensive benefit value.

[0120] In yet another optional embodiment, the standard matrix calculation model is:

[0121]

[0122] Where, dd m,n is the element in the mth row and nth column of the standard matrix; c n is the nth element of the weight vector C; x m,n is the element in the mth row and nth column of the scoring matrix; minX n and maxX n are the minimum and maximum values ​​of the nth column of the scoring matrix respectively; d n is the nth element of the type vector D; s n and t n , are the nth elements of the interval lower limit vector and the interval upper limit vector respectively; m∈[1,K], n∈[1,P], and P is the total number of columns of the scoring matrix.

[0123] In another optional embodiment, the benefit value calculation model is expressed as:

[0124]

[0125] Where, e k is the kth comprehensive benefit value of the benefit vector, and k∈[1,K]; minD nn and max D nn are the minimum and maximum values ​​of the nth column of the standard matrix respectively; d k,nn is the element in the kth row and nnth column of the standard matrix.

[0126] It can be seen that the implementation of the comprehensive benefit evaluation method for warehousing construction described in the embodiment of the present invention can flexibly select corresponding indicators to obtain a marked indicator tree according to evaluation needs, and further process it to obtain a reallocated indicator tree and a comprehensive benefit value, which is conducive to realizing on-demand evaluation of the comprehensive benefits of warehousing construction, as well as the rationality and accuracy of the evaluation results.

[0127] Example 2

[0128] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of a comprehensive benefit evaluation device for warehousing construction disclosed in an embodiment of the present invention. Figure 2 The device described can be applied to the field of warehousing and logistics, such as the layout of material storage warehouses, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the device may include:

[0129] The marking indicator tree acquisition module 201 is used to obtain the marking indicator tree in response to user operations;

[0130] The marking indicator tree processing module 202 is used to process the marking indicator tree to obtain a reallocation indicator tree;

[0131] The comprehensive benefit calculation module 203 is used to process the reallocation indicator tree to obtain a comprehensive benefit value.

[0132] It can be seen that the implementation of the warehousing construction comprehensive benefit evaluation device described in the embodiment of the present invention is conducive to achieving on-demand evaluation of the comprehensive benefits of warehousing construction, as well as the rationality and accuracy of the evaluation results.

[0133] Example 3

[0134] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of another storage construction comprehensive benefit evaluation device disclosed in an embodiment of the present invention. Figure 3 The described warehousing construction comprehensive benefit evaluation device can be applied to the field of warehousing logistics, such as the site selection of material storage warehouses, and the embodiment of the present invention does not limit it. Figure 3 As shown, the storage construction comprehensive benefit evaluation device may include the following parts:

[0135] A memory 301 storing executable program code;

[0136] a processor 302 coupled to the memory 301;

[0137] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the comprehensive benefit evaluation method for warehousing construction described in the first embodiment.

[0138] Example 4

[0139] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the method for comprehensive benefit evaluation of warehousing construction described in the first embodiment.

[0140] The device embodiments described above are merely illustrative. Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0141] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0142] Finally, it should be noted that the method and device for comprehensive benefit evaluation of warehousing construction disclosed in the embodiments of the present invention only disclose preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for evaluating the comprehensive benefits of warehousing construction, characterized in that: include: S1. In response to a user operation, a marking indicator tree is obtained; the marking indicator tree includes a root node, a plurality of first-level child nodes, and a plurality of second-level child nodes; The first-level child node and the second-level child node of the marking indicator tree are marked as activated or inactivated; the first child node includes a weight value; the second child node includes the weight value, type value and score value sequence; The type value is -1, 0 or 1; the score value sequence includes K score values; K is an integer greater than 1; S2. Processing the marked indicator tree to obtain a reallocation indicator tree; S3. Process the reallocation indicator tree to obtain a comprehensive benefit value.

2. The method for comprehensive benefit evaluation of warehousing construction according to claim 1, characterized in that: The processing of the marked indicator tree to obtain a reallocation indicator tree includes: S21, performing consistency correction processing on the marked indicator tree to obtain a corrected indicator tree; S22, pruning the modified indicator tree to obtain a pruned indicator tree; S23: Perform weight distribution processing on the pruning indicator tree to obtain a redistribution indicator tree.

3. The method for comprehensive benefit evaluation of warehousing construction according to claim 2, characterized in that: The performing consistency correction processing on the marked indicator tree to obtain a corrected indicator tree includes: S211, initializing the first loop count x to the number of the first-level child nodes of the marking indicator tree; S212, initializing the second loop count y to the number of direct child nodes of the x-th first-level child node in the marking indicator tree; S213: Determine whether the yth second-level child node corresponding to the xth first-level child node in the marking indicator tree is marked as activated, and obtain a first determination result; When the first judgment result is yes, mark the x-th first-level child node of the marking indicator tree as activated; and execute S216; When the first judgment result is no, the value of y is reduced by 1; S214, repeat S213 until y is equal to 0; S215, marking the xth first-level child node of the marking indicator tree as inactivated; S216, reduce the value of x by 1; S217, repeat S212 to S216 until x is equal to 0; S218: Determine the modified indicator tree as the marked indicator tree.

4. The method for comprehensive benefit evaluation of warehousing construction according to claim 2, characterized in that: The pruning of the modified indicator tree to obtain a pruning indicator tree includes: S221, deleting all the secondary child nodes marked as inactive in the modified indicator tree to obtain an initial pruning indicator tree; S222: Delete the first-level child nodes that do not have corresponding second-level child nodes in the initial pruning indicator tree to obtain the pruning indicator tree.

5. The method for comprehensive benefit evaluation of warehousing construction according to claim 2, characterized in that: The weight distribution processing is performed on the pruning indicator tree to obtain a redistribution indicator tree, including: S231, using a first redistribution model, performing a first redistribution process on the clipping indicator tree to obtain an initial redistribution indicator tree; S232: Using a second redistribution model, perform a second redistribution process on the initial redistribution indicator tree to obtain the redistribution indicator tree.

6. The method for comprehensive benefit evaluation of warehousing construction according to claim 5 is characterized in that: The expression of the first redistribution model is: Where A ii is the weight value of the ii-th first-level child node in the initial redistribution index tree, and ii∈[1,M]; M is the number of the first-level child nodes in the pruning index tree; W ii is the weight value of the ii-th first-level child node in the pruning index tree; i is the weight value of the i-th first-level child node in the pruning indicator tree.

7. The method for comprehensive benefit evaluation of warehousing construction according to claim 6, characterized in that: The expression of the second redistribution model is: Where B ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the reallocation index tree, and jj∈[1,N]; N is the number of the direct child nodes of the iith first-level child node in the initial reallocation index tree; V ii,jj is the weight value of the jjth second child node among all the direct child nodes of the iith first-level child node in the initial redistribution index tree; VV ii,j The weight value of the jth second-level child node among all the direct child nodes of the iith first-level child node in the initial reallocation index tree.

8. The method for comprehensive benefit evaluation of warehousing construction according to claim 1, characterized in that: The processing of the reallocation indicator tree to obtain a comprehensive benefit value includes: S31, sequentially concatenating the weights of all the second-level child nodes in the redistribution indicator tree into a weight vector; S32, sequentially concatenating the type values ​​of all the second-level child nodes in the reallocation index tree into a type vector; S33, sequentially concatenating the interval lower limit values ​​of all the second-level child nodes in the reallocation index tree into an interval lower limit vector; sequentially concatenating the interval upper limit values ​​of all the second-level child nodes in the reallocation index tree into an interval upper limit vector; S34. Constructing a scoring matrix based on the reallocation indicator tree; S35. Using a standard matrix calculation model, the weight vector, the type vector, the interval lower limit vector, the interval upper limit vector, and the scoring matrix are processed to obtain a standard matrix; S36, using a benefit value calculation model to process the standard matrix to obtain a benefit vector; S37, calculating the mean of the benefit vector to obtain the comprehensive benefit value.

9. A device for evaluating the comprehensive benefits of warehousing construction, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the comprehensive benefit evaluation method for warehousing construction as described in any one of claims 1-8.

10. A computer storage medium, characterized in that The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the comprehensive benefit evaluation method for warehousing construction according to any one of claims 1 to 8.

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