An enterprise inventory optimization method and system based on an inventory optimization index tree

Abstract

The application discloses an enterprise inventory optimization method and system based on an inventory optimization index tree, designs an enterprise inventory cost reduction capability model covering the whole supply chain based on an integrated supply chain methodology, then the enterprise selects appropriate enterprise inventory optimization indexes according to the inventory cost reduction capability model to construct the inventory optimization index tree, acquires inventory abnormal indexes by monitoring target values and actual values of the enterprise inventory optimization indexes in the index tree, and then completes performance improvement by optimizing the abnormal indexes.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of information technology, in particular to an enterprise inventory optimization method and system based on inventory optimization index tree. BACKGROUND

[0002] With the gradual rise of material procurement cost and storage cost, more and more enterprises begin to pay attention to the problem of material inventory in the supply chain, and consider improving enterprise performance by optimizing enterprise inventory in the supply chain. For the calculation of material demand in the supply chain, the traditional enterprise generally calculates the current required material according to the forecast & order driven supply chain mode, including three steps of confirming forecast / order through production and marketing cooperation, calculating total demand and total supply according to forecast / order for MRP (material resource planning), and outputting material demand and production demand according to calculation, but this mode is only suitable for large batch production mode. In the actual production scene, enterprises are often affected by small batch, multi-variety, inaccurate prediction, frequent urgent orders and frequent delivery dates, which lead to inaccurate demand. In addition, due to the fluctuation of front-end demand, there are both material idle inventory and urgent material shortage, which affect delivery and quality. Over time, it forms a disorder in the supply chain, and finally leads to great loss of sales cost, inventory cost, idle scrap cost and operation management cost of the company and suppliers under the bullwhip effect. Therefore, it is urgent to design an inventory planning method for the whole supply chain to improve the performance of enterprises. SUMMARY

[0003] The following gives a brief summary of one or more aspects to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all contemplated aspects, and neither is it intended to identify key or critical elements of all aspects nor to delineate the scope of any or all aspects. Its only purpose is to give some concepts of one or more aspects in a simplified form as a prelude to the more detailed description given later.

[0004] The present application aims to solve the above problems, and provides an enterprise inventory optimization method and system based on inventory optimization index tree. A set of enterprise inventory cost reduction capability model covering the whole supply chain is designed based on integrated supply chain methodology, then suitable enterprise inventory optimization indexes are selected from the enterprise inventory optimization scheme to construct an inventory optimization index tree, and inventory abnormal indexes are obtained by monitoring the target values and actual values of the enterprise inventory optimization indexes in the optimization index tree, and then performance improvement is completed through optimization and inventory optimization abnormal indexes.

[0005] The technical scheme of the present application is as follows:

[0006] The present application provides an enterprise inventory optimization method based on inventory optimization index tree, comprising the following steps:

[0007] According to the enterprise inventory optimization scheme, index parameter setting is performed;

[0008] According to the set index parameters and the enterprise inventory cost reduction capability model, an inventory optimization index tree is constructed;

[0009] Based on the constructed inventory optimization index tree, enterprise inventory optimization indexes are monitored, and inventory abnormal indexes are obtained;

[0010] The inventory abnormal indexes are optimized, and performance improvement is completed.

[0011] According to an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree, the index parameter setting includes data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting, and index parameter setting; wherein, after the index parameter setting is performed according to the enterprise inventory optimization scheme, the enterprise inventory optimization method based on the inventory optimization index tree constructs an inventory optimization index tree according to the set index parameters and the inventory cost reduction capability model.

[0012] According to an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree, the enterprise inventory optimization method based on the inventory optimization index tree constructs an enterprise inventory cost reduction capability model according to the integrated supply chain theory, and then constructs an inventory optimization index tree according to the enterprise inventory cost reduction capability model; wherein, the enterprise inventory cost reduction capability model contains multiple enterprise inventory optimization indexes of different levels, the enterprise inventory optimization method based on the inventory optimization index tree selects multiple enterprise inventory optimization indexes to construct a multi-level inventory optimization index tree according to the enterprise inventory cost reduction capability model, and then monitors the selected enterprise inventory optimization indexes by using the constructed inventory optimization index tree.

[0013] According to an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree, the enterprise inventory cost reduction capability model includes a first-level inventory optimization index, a second-level inventory optimization index, a third-level inventory optimization index, and a fourth-level inventory optimization index; wherein, the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index are sub- indexes of the upper-level inventory optimization index, the enterprise inventory optimization method based on the inventory optimization index tree selects multiple enterprise inventory optimization indexes from the first-level inventory optimization index, the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index to construct a multi-level inventory optimization index tree, and then monitors the selected enterprise inventory optimization indexes by querying the inventory optimization index tree.

[0014] According to an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree, after the inventory optimization index tree is constructed according to the enterprise inventory cost reduction capability model, the inventory abnormal index is monitored and acquired by querying the inventory optimization index tree, so that the performance improvement is carried out; wherein the performance improvement includes performance improvement single formulation, performance improvement plan formulation, performance improvement task formulation and performance improvement report.

[0015] An enterprise inventory optimization system based on an inventory optimization index tree comprises an index parameter setting module, an index tree construction module, an index tree query module and a performance improvement module; wherein,

[0016] The index parameter setting module is used for setting index parameters according to an enterprise inventory optimization scheme;

[0017] The index tree construction module is used for constructing an inventory optimization index tree according to the index parameters set by the index parameter setting module and an enterprise cost reduction capability model, and sending the constructed inventory optimization index tree to the index tree query module;

[0018] The index tree query module monitors enterprise inventory optimization indexes by using the inventory optimization index tree constructed by the index tree construction module, and acquires inventory abnormal indexes;

[0019] The performance improvement module is used for optimizing the acquired inventory abnormal indexes, and completing performance improvement.

[0020] According to an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree, the index parameter setting includes data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting and index parameter setting; wherein the enterprise inventory optimization system based on the inventory optimization index tree sets index parameters according to an enterprise inventory optimization scheme, and then constructs an inventory optimization index tree according to the set index parameters and an inventory cost reduction capability model by using the index tree construction module.

[0021] According to an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree, the enterprise inventory optimization system based on the inventory optimization index tree constructs an enterprise inventory cost reduction capability model according to the integrated supply chain theory, and then constructs an inventory optimization index tree according to the enterprise inventory cost reduction capability model; wherein the enterprise inventory cost reduction capability model contains a plurality of enterprise inventory optimization indexes of different levels, the enterprise inventory optimization system based on the inventory optimization index tree selects a plurality of enterprise inventory optimization indexes to construct a multi-level inventory optimization index tree according to the enterprise inventory cost reduction capability model, and then monitors the selected enterprise inventory optimization indexes by using the constructed inventory optimization index tree.

[0022] According to an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree, the enterprise inventory cost reduction capability model comprises a first-level inventory optimization index, a second-level inventory optimization index, a third-level inventory optimization index and a fourth-level inventory optimization index; the second-level inventory optimization index, the third-level inventory optimization index and the fourth-level inventory optimization index are sub-indices of the upper-level inventory optimization index; the enterprise inventory optimization system selects a plurality of enterprise inventory optimization indexes from the first-level inventory optimization index, the second-level inventory optimization index, the third-level inventory optimization index and the fourth-level inventory optimization index to construct a multi-level inventory optimization index tree, and then monitors the selected enterprise inventory optimization indexes by querying the inventory optimization index tree.

[0023] According to an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree, the enterprise inventory optimization system monitors and acquires inventory abnormal indexes by querying the inventory optimization index tree after constructing the inventory optimization index tree according to the enterprise inventory cost reduction capability model, so as to improve performance; the performance improvement comprises performance improvement planning, performance improvement plan making, performance improvement task making and performance improvement reporting.

[0024] The present application has the following advantages over the prior art: the present application designs an enterprise inventory cost reduction capability model covering the whole supply chain based on the integrated supply chain methodology, selects appropriate enterprise inventory optimization indexes from different levels of enterprise inventory optimization indexes in the enterprise inventory cost reduction capability model according to an enterprise inventory optimization scheme to construct an inventory optimization index tree, acquires inventory abnormal indexes by monitoring the target values and actual values of the enterprise inventory optimization indexes in the optimization index tree, and then improves performance by optimizing the inventory optimization abnormal indexes. Compared with the prior art, the present application can monitor a plurality of enterprise inventory optimization indexes for the whole supply chain, dynamically adjusts the material reserves and types by optimizing the enterprise abnormal indexes, thereby avoiding the disorder of the supply chain, reducing the loss cost, inventory cost, idle and scrap cost and operation management cost of the enterprise, and improving the performance of the enterprise. BRIEF DESCRIPTION OF DRAWINGS

[0025] The above features and advantages of the present application can be better understood by reading the following detailed description of embodiments of the present application in conjunction with the accompanying drawings. In the drawings, components are not necessarily drawn to scale, and components of similar or identical function or structure can be designated with the same or similar reference numerals.

[0026] Figure 1 is a structural diagram showing an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree of the present application.

[0027] Figure 2is a structural diagram illustrating an embodiment of the enterprise inventory cost reduction capability model of the present application.

[0028] Figure 3 is a schematic diagram illustrating an embodiment of the inventory optimization index tree query of the present application.

[0029] Figure 4 is an interface schematic diagram illustrating an embodiment of the business document query of the present application.

[0030] Figure 5 is an interface schematic diagram illustrating an embodiment of the historical index query operation of the present application.

[0031] Figure 6 is an interface schematic diagram illustrating an embodiment of the performance improvement single editing of the present application.

[0032] Figure 7 is an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree of the present application. DETAILED DESCRIPTION

[0033] The present application is described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the aspects described below in conjunction with the accompanying drawings and specific embodiments are merely exemplary and should not be understood as limiting the scope of protection of the present application in any way.

[0034] An embodiment of an enterprise inventory optimization method based on an inventory optimization index tree is disclosed herein, Figure 1 is a structural diagram illustrating an embodiment of the enterprise inventory optimization method based on the inventory optimization index tree of the present application, please refer to Figure 1 The following is a detailed description of each step of the enterprise inventory optimization method based on the inventory optimization index tree.

[0035] Step S1: Set index parameters according to the enterprise inventory optimization scheme.

[0036] In this embodiment, the index parameter setting includes data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting, and index parameter setting, etc. Before building the inventory optimization index tree, an enterprise inventory optimization scheme needs to be formulated according to the actual production plan and the key indicators of concern, and then the index parameter setting is performed according to the enterprise inventory optimization scheme. By setting the data source address of the index, as well as the variables and formulas involved in the calculation of the index, the target value of the index, and the data update plan of the index, the inventory optimization index tree with completed parameter setting can capture the corresponding data, calculate and compare the required indicator values of concern.

[0037] Step S2: Build the inventory optimization index tree according to the set index parameters and the enterprise inventory cost reduction capability model.

[0038] After the setting of the index parameters is completed through the above step S1, the inventory optimization index tree is constructed using the set index parameters and the enterprise inventory reduction capability model in this embodiment. In order to cover the whole supply chain, the enterprise inventory reduction capability is decomposed layer by layer using the integrated supply chain theory to construct an enterprise inventory reduction capability model including multiple enterprise inventory optimization indexes at different levels. Figure 2 is a structural diagram illustrating an embodiment of the enterprise inventory reduction capability model of the present application. The enterprise inventory reduction capability model of the present application will be further described below with reference to Figure 2

[0039] As shown in Figure 2 , the enterprise inventory reduction capability model includes a first-level inventory optimization index, a second-level inventory optimization index, a third-level inventory optimization index, and a fourth-level inventory optimization index. The first-level inventory optimization index is a group inventory reduction ratio, which quantifies the inventory reduction capability of the enterprise. The second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index are sub-indices of the upper-level inventory optimization index. When constructing the inventory reduction index tree, the enterprise inventory optimization index to be focused on is selected from the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index, respectively, to construct a multi-level inventory optimization index tree, and then the selected enterprise inventory optimization index is monitored by querying the inventory optimization index tree.

[0040] Specifically, in this embodiment, the second-level enterprise inventory optimization index includes a finished product inventory reduction ratio, a material inventory reduction ratio, a semi-finished product inventory reduction ratio, and a new product special material reduction ratio, which can be used to quantify the production and sales coordination capability, the supplier coordination capability, the production coordination capability, and the R&D coordination capability of the enterprise, respectively. For the production and sales coordination capability, the next-level sub-indices include a supply / stock strategy planning rate, a final sales forecast timeliness, an inventory strategy warehouse achievement rate, and a low-turnover inventory reduction ratio, which can be used to quantify the product production and sales strategy planning capability, the production and sales forecast coordination capability, the product inventory strategy warehouse capability, and the low-turnover finished product inventory reduction capability of the enterprise, respectively. The next-level sub-indices corresponding to the supplier coordination capability include a supply / stock strategy planning rate, a material demand coordination timeliness, an inventory strategy warehouse achievement rate, and a low-turnover inventory reduction rate, which can be used to quantify the material supply strategy and inventory planning capability, the material demand coordination capability, the material inventory strategy warehouse capability, and the low-turnover material inventory reduction capability of the enterprise, respectively.

[0041] ​In addition, in the embodiment, in order to further finely quantify some indexes in the third-level inventory optimization indexes, fourth-level inventory optimization indexes are set as sub-indexes of some third-level inventory indexes. For example, in the embodiment, for the production and sales forecast coordination capability, the statistical forecast processing timeliness rate and the sales forecast processing timeliness rate in the next level indexes can be further researched, and the product statistical forecast processing capability and the product sales forecast processing capability of the enterprise are quantified through the indexes. For the low-turnover finished product inventory reduction capability, the low-turnover inventory processing timeliness rate and the EOL processing timeliness rate are included, which are used to quantify the low-turnover finished product inventory processing capability and the EOL / suggested market withdrawal product processing capability of the enterprise. The sub-indexes of the material demand coordination capability are the material reservation plan processing timeliness rate, the material pick-up plan processing timeliness rate, the PO processing timeliness rate, and the supplier inventory updating timeliness rate, which are used to quantify the material reservation plan coordination capability, the material pick-up plan coordination capability, the purchase PO issuing coordination capability, and the supplier inventory monitoring coordination capability of the enterprise. For the material inventory strategy reservation capability, the inventory strategy reservation achievement rate, the supplier inventory reservation achievement rate, and the special processing timeliness rate are included, which are used to quantify the in-house inventory strategy reservation capability, the supplier inventory strategy reservation capability, and the low-turnover material inventory reduction capability of the enterprise.

[0042] Step S3: monitoring the enterprise inventory optimization indexes based on the constructed inventory optimization index tree, and obtaining inventory abnormal indexes.

[0043] In the embodiment, after the multi-level inventory optimization index tree is constructed through the above step S2, the constructed index tree is named and saved, and then the saved inventory optimization index tree is used to monitor the selected enterprise inventory optimization indexes, so as to obtain the inventory abnormal indexes. The inventory optimization index tree supports zooming viewing, and the index tree is displayed by selecting the index tree name, the time interval, and the organization. Figure 3 is a schematic view showing an embodiment of the inventory optimization index tree query of the application, as Figure 2 shown, in the embodiment, when the corresponding index tree name and the required query time interval are selected on the operation page, a plurality of enterprise inventory indexes required to be monitored can be displayed, each index displays the corresponding index name, actual value, and target value. When an abnormal index occurs, the enterprise inventory optimization index can be right-clicked to perform the business document query and the historical index query operation as shown in Figure 4 , Figure 5 so as to improve the index.

[0044] Step S4: optimizing the inventory abnormal indexes, and completing the performance improvement.

[0045] In this embodiment, when the inventory abnormality index is obtained through the above step S3, the corresponding business document and historical data of the inventory abnormality index are viewed by right-clicking the inventory abnormality index, and then the performance improvement sheet is edited according to the selection to optimize the index, so as to complete the performance improvement. In the process of formulating the performance improvement sheet of the abnormal index, the performance dialogue can be used to discuss the reasons for the inventory problem and the improvement measures, the person in charge of the improvement task is determined according to the measures, and the task distribution and processing progress report and tracking, process displayable index improvement development trend are performed, and finally the performance improvement sheet as shown in Figure 6 is edited, the abnormal index is tracked, and finally the optimization of the index is completed to improve the enterprise performance.

[0046] The present specification also provides an embodiment of an enterprise inventory optimization system based on an inventory optimization index tree, Figure 7 is a structural diagram of an embodiment of the enterprise inventory optimization system based on the inventory optimization index tree of the present application. As shown in Figure 7 In this embodiment, the enterprise inventory optimization system based on the inventory optimization index tree includes an index parameter setting module, an index tree construction module, an index tree query module, and a performance improvement module. The index parameter setting module is used to set the index parameters according to the enterprise inventory optimization scheme, the index tree construction module is used to construct the inventory optimization index tree according to the index parameters set by the index parameter setting module and the enterprise cost reduction capability model, and the constructed inventory optimization index tree is sent to the index tree query module. The index tree query module monitors the enterprise inventory optimization index by using the inventory optimization index tree constructed by the index tree construction module, obtains the inventory abnormality index, and then optimizes the obtained inventory abnormality index through the performance improvement module, so as to complete the performance improvement.

[0047] Specifically, in this embodiment, the index parameter setting includes data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting, and index parameter setting, etc. Before constructing the inventory optimization index tree, the enterprise inventory optimization scheme needs to be formulated according to the actual production plan and the key attention index, and then the index parameter setting is performed according to the enterprise inventory optimization scheme. By setting the data source address of the index, the variable and formula participating in the calculation of the index, the target value of the index, and the data update plan of the index, the inventory optimization index tree with completed parameter setting can capture the corresponding data, calculate and compare the index values that need to be concerned.

[0048] Further, in the embodiment, when the enterprise inventory optimization system based on the inventory optimization index tree completes the setting of the index parameters, the enterprise inventory optimization system starts to construct the inventory optimization index tree by using the set index parameters and the enterprise inventory reduction capability model. In order to make the constructed inventory optimization index tree cover the whole supply chain, the enterprise inventory reduction capability model is constructed by using the integrated supply chain theory to layer by layer decompose the enterprise inventory reduction capability. Figure 2 is a structural diagram of an embodiment of the enterprise inventory reduction capability model of the present application, and the embodiment will be further described below in combination with Figure 2 .

[0049] As shown in Figure 2 , in the embodiment, the enterprise inventory reduction capability model includes a first-level inventory optimization index, a second-level inventory optimization index, a third-level inventory optimization index, and a fourth-level inventory optimization index. The first-level inventory optimization index is a group inventory reduction ratio, and the inventory reduction capability of the enterprise is quantified by the group inventory reduction ratio. The second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index are sub-indices of the upper-level inventory optimization index, and when the inventory reduction index tree is constructed, the enterprise inventory optimization index to be concerned is selected from the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index in turn to construct a multi-level inventory optimization index tree, and then the selected enterprise inventory optimization index is monitored by querying the inventory optimization index tree.

[0050] Specifically, in the embodiment, the second-level enterprise inventory optimization index includes a finished product inventory reduction ratio, a material inventory reduction ratio, a semi-finished product inventory reduction ratio, and a new product special material reduction ratio, and the production and marketing coordination capability, the supplier coordination capability, the production coordination capability, and the R&D coordination capability of the enterprise can be quantified by these indexes. For the production and marketing coordination capability, the next-level sub-indices include a supply / inventory strategy planning rate, a final sales forecast timeliness, an inventory strategy warehouse achievement rate, and a low turnover inventory reduction ratio, and these indexes can be used to quantify the product production and marketing strategy overall planning capability, the production and marketing forecast coordination capability, the product inventory strategy warehouse capability, and the low turnover finished product inventory reduction capability of the enterprise. The next-level sub-indices corresponding to the supplier coordination capability include a supply / inventory strategy planning rate, a material demand coordination timeliness, an inventory strategy warehouse achievement rate, and a low turnover inventory reduction rate, and these indexes can be used to quantify the material supply strategy and inventory planning capability, the material demand coordination capability, the material inventory strategy warehouse capability, and the low turnover material inventory reduction capability of the enterprise.

[0051] Further, in this embodiment, in order to further finely quantify some of the third-level inventory optimization indicators, fourth-level inventory optimization indicators are set as sub-indicators of some third-level inventory indicators. For example, in this embodiment, for the production and sales forecast coordination capability, the statistical forecast processing timeliness and the sales forecast processing timeliness in the next level indicators can be further studied, and the product statistical forecast processing capability and the product sales forecast processing capability of the enterprise can be quantified through these indicators. For the low-turnover finished product inventory reduction capability, the low-turnover inventory processing timeliness and the EOL processing timeliness are included, which are used to quantify the low-turnover finished product inventory processing capability and the EOL / suggested market withdrawal product processing capability of the enterprise. The sub-indicators of the material demand coordination capability are the material reservation plan processing timeliness, the material pick-up plan processing timeliness, the PO processing timeliness, and the supplier inventory update timeliness, which are used to quantify the material reservation plan coordination, the material pick-up plan coordination capability, the purchase PO issuance coordination capability, and the supplier inventory monitoring coordination capability of the enterprise. For the material inventory strategy reservation capability, the inventory strategy reservation achievement rate, the supplier inventory reservation achievement rate, and the special processing timeliness are included as three sub-indicators, which are used to quantify the in-house inventory strategy reservation capability, the supplier inventory strategy reservation capability, and the low-turnover material inventory reduction capability of the enterprise.

[0052] Further, in this embodiment, when the enterprise inventory optimization system based on the inventory optimization indicator tree obtains an inventory abnormal indicator, the business documents and historical data corresponding to the inventory abnormal indicator are viewed by right-clicking the inventory abnormal indicator, and then the performance improvement sheet is edited according to the selection to optimize the indicator, so as to complete the performance improvement. When the performance improvement sheet of the abnormal indicator is formulated, the inventory problem causes and improvement measures can be discussed through the performance dialogue, the person in charge of the improvement task is determined according to the measures, and the task distribution and processing progress report and tracking, the process displayable indicator improvement development trend are performed, and finally the performance improvement sheet as shown in Figure 6 is edited, the abnormal indicator is tracked, and finally the optimization of the indicator is completed to improve the enterprise performance.

[0053] Further, in this embodiment, when the indicator tree is queried, the Data Turbo data channel technology is used for data processing. This technology allows data to flow efficiently from one location to another through a data analysis process, which includes extraction, transformation, combination, verification, visualization, and other such data analysis processes. Using the Data Turbo data pipeline, the large number of time-consuming and tedious manual steps required to process these processes can be reduced, the room for human error can be reduced, and the data accuracy can be improved.

[0054] The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0055] Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans can implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

[0056] The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein can be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor can be a microprocessor, but in the alternative, the processor can be any conventional processor, controller, microcontroller, or state machine. A processor can also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

[0057] The steps of a method or algorithm described in connection with the embodiments disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium can be integral to the processor. The processor and the storage medium can reside in an ASIC. The ASIC can reside in a user terminal. In the alternative, the processor and the storage medium can reside as discrete components in a user terminal.

[0058] In one or more exemplary embodiments, the functions described can be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions can be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. Storage media can be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Claims

1. A method for optimizing enterprise inventory based on an inventory optimization index tree, characterized in that, The method comprises the following steps: According to the enterprise inventory optimization scheme, the index parameter setting is performed; According to the set index parameter and the enterprise inventory cost reduction capability model, an inventory optimization index tree is constructed; Based on the constructed inventory optimization index tree, the enterprise inventory optimization index is monitored, and the inventory abnormal index is obtained; The inventory abnormal index is optimized to dynamically adjust the material reserve quantity and the type, and the performance improvement is completed; The enterprise inventory optimization method based on the inventory optimization index tree constructs the enterprise inventory cost reduction capability model according to the integrated supply chain theory, and then constructs the inventory optimization index tree according to the enterprise inventory cost reduction capability model; wherein the enterprise inventory cost reduction capability model comprises a plurality of enterprise inventory optimization indexes of different levels, and the enterprise inventory optimization method based on the inventory optimization index tree selects a plurality of enterprise inventory optimization indexes according to the enterprise inventory cost reduction capability model to construct a multi-level inventory optimization index tree, and then monitors the selected enterprise inventory optimization indexes by using the constructed inventory optimization index tree; The enterprise inventory cost reduction capability model comprises a first-level inventory optimization index, a second-level inventory optimization index, a third-level inventory optimization index, and a fourth-level inventory optimization index; wherein the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index are sub-indices of the upper-level inventory optimization index, and the enterprise inventory optimization method based on the inventory optimization index tree selects a plurality of enterprise inventory optimization indexes from the first-level inventory optimization index, the second-level inventory optimization index, the third-level inventory optimization index, and the fourth-level inventory optimization index to construct a multi-level inventory optimization index tree, and then monitors the selected enterprise inventory optimization indexes by querying the inventory optimization index tree, wherein the second-level enterprise inventory optimization index comprises a finished product inventory reduction ratio, a material inventory reduction ratio, a semi-finished product inventory reduction ratio, and a new product special material reduction ratio, and the production and sales coordination capability, the supplier coordination capability, the production coordination capability, and the R&D coordination capability of the enterprise can be quantified by these indexes; After the construction of the inventory optimization index tree according to the enterprise inventory cost reduction capability model, the enterprise inventory optimization method based on the inventory optimization index tree monitors the inventory abnormal index by querying the inventory optimization index tree, so as to improve the performance; wherein the performance improvement comprises performance improvement planning, performance improvement plan formulation, performance improvement task formulation, and performance improvement report.

2. The inventory optimization method based on the inventory optimization index tree of claim 1, wherein, The index parameter setting comprises data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting, and index parameter setting; wherein the enterprise inventory optimization method based on the inventory optimization index tree constructs the inventory optimization index tree according to the set index parameter and the inventory cost reduction capability model after the index parameter setting according to the enterprise inventory optimization scheme.

3. An enterprise inventory optimization system based on an inventory optimization index tree, characterized by, The method comprises an index parameter setting module, an index tree construction module, an index tree query module, and a performance improvement module; wherein The index parameter setting module is used for performing index parameter setting according to the enterprise inventory optimization scheme; The index tree construction module is configured to construct an inventory optimization index tree according to the index parameters set by the index parameter setting module and the enterprise inventory reduction capability model, and send the constructed inventory optimization index tree to the index tree query module; The index tree query module is configured to monitor enterprise inventory optimization indexes by using the inventory optimization index tree constructed by the index tree construction module, and obtain inventory abnormal indexes; The performance improvement module is configured to optimize the obtained inventory abnormal indexes, dynamically adjust the amount and types of materials in stock, and complete performance improvement. The enterprise inventory optimization system based on the inventory optimization index tree is configured to construct an enterprise inventory reduction capability model according to the integrated supply chain theory, and then construct an inventory optimization index tree according to the enterprise inventory reduction capability model; the enterprise inventory reduction capability model includes a plurality of enterprise inventory optimization indexes of different levels, and the enterprise inventory optimization system based on the inventory optimization index tree is configured to select a plurality of enterprise inventory optimization indexes from the enterprise inventory reduction capability model to construct a multi-level inventory optimization index tree, and then monitor the selected enterprise inventory optimization indexes by using the constructed inventory optimization index tree. The enterprise inventory reduction capability model includes first-level, second-level, third-level, and fourth-level inventory optimization indexes; the second-level, third-level, and fourth-level inventory optimization indexes are sub-indexes of the first-level inventory optimization index; the enterprise inventory optimization system based on the inventory optimization index tree is configured to select a plurality of enterprise inventory optimization indexes from the first-level, second-level, third-level, and fourth-level inventory optimization indexes to construct a multi-level inventory optimization index tree, and then monitor the selected enterprise inventory optimization indexes by querying the inventory optimization index tree; the second-level enterprise inventory optimization indexes include finished product inventory reduction ratio, material inventory reduction ratio, semi-finished product inventory reduction ratio, and new product special material reduction ratio, which can be used to quantify the production and sales coordination capability, supplier coordination capability, production coordination capability, and R&D coordination capability of the enterprise, respectively. The enterprise inventory optimization system based on the inventory optimization index tree is configured to monitor the obtained inventory abnormal indexes by querying the inventory optimization index tree after constructing the inventory optimization index tree according to the enterprise inventory reduction capability model, and then perform performance improvement; the performance improvement includes performance improvement plan formulation, performance improvement task formulation, performance improvement report, and performance improvement plan formulation.

4. The inventory optimization system based on the inventory optimization index tree of claim 3, wherein, The index parameter setting includes data source connection setting, target value setting, index setting, index permission setting, variable setting, index update plan setting, and index parameter setting; the enterprise inventory optimization system based on the inventory optimization index tree is configured to set index parameters according to an enterprise inventory optimization scheme, and then construct an inventory optimization index tree by the index tree construction module according to the set index parameters and the inventory reduction capability model.

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