CN112633807A - Supply chain optimization method and system based on intelligent reminding - Google Patents

Supply chain optimization method and system based on intelligent reminding Download PDF

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CN112633807A
CN112633807A CN202011582488.5A CN202011582488A CN112633807A CN 112633807 A CN112633807 A CN 112633807A CN 202011582488 A CN202011582488 A CN 202011582488A CN 112633807 A CN112633807 A CN 112633807A
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demand
plan
model
project
calculation model
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孙楷淇
章光东
谢岗
陈煜�
张会玲
张克成
廖根宇
程稳
陈清兵
宁传健
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State Grid Anhui Electric Power Co Ltd
Materials Branch of State Grid Anhui Electric Power Co Ltd
Wuwei Power Supply Co of State Grid Anhui Electric Power Co Ltd
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State Grid Anhui Electric Power Co Ltd
Materials Branch of State Grid Anhui Electric Power Co Ltd
Wuwei Power Supply Co of State Grid Anhui Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a supply chain optimization method and system based on intelligent reminding, which are used for reminding engineering requirements and comprise the following steps: according to the historical engineering demand list and the general cost design, an engineering demand model is compiled, and the audited engineering demand model is stored as a project demand model; constructing a material demand period calculation model and a material plan reporting calculation model; importing a project demand model, a material demand period calculation model and a material plan reporting calculation model into an ERP system; and acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department to realize intelligent reminding of supply chain project demands. The supply chain optimization method solves the situation that an enterprise depends on 'passive acceptance' of material information in material purchasing, and reminds the material requirements on the supply chain so as to realize supply chain optimization.

Description

Supply chain optimization method and system based on intelligent reminding
Technical Field
The invention relates to the technical field of supply chain optimization, in particular to a supply chain optimization method and system based on intelligent reminding.
Background
With the development of scientific technology and the continuous improvement of material purchasing management in China, the position of intelligent purchasing in the material supply process is increased, and the attention of material companies to intelligent purchasing is higher and higher.
Although the intelligent purchasing technology and management level of a material company are greatly improved under the development of science and technology, the declaration of a material plan is developed in an ERP material module by a demand department (a designer) at present, and due to the factors of various material types, complex and various material demand characteristics, application of standard and general materials, change of material purchasing strategies, change of engineering construction progress and the like, the demand department lacks comprehensive declaration information guidance or reminding during material declaration, and the reasonable declaration time for controlling each material plan and the reasonable purchasing batch are difficult to accurately control.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a supply chain optimization method and system based on intelligent reminding, which solves the problem that an enterprise depends on 'passive reception' of material information in material purchasing and reminds the material requirements on a supply chain so as to realize supply chain optimization.
The invention provides a supply chain optimization method and system based on intelligent reminding, which are used for reminding engineering requirements and are characterized by comprising the following steps:
according to the historical engineering demand list and the general cost design, an engineering demand model is compiled, and the audited engineering demand model is stored as a project demand model;
constructing a material demand period calculation model and a material plan reporting calculation model;
importing a project demand model, a material demand period calculation model and a material plan reporting calculation model into an ERP system;
and acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department to realize intelligent reminding of supply chain project demands.
Further, before acquiring the demand parameters issued by the ERP system, the ERP system processes the imported model, specifically as follows:
calculating material inventory of different types of projects, the earliest time of material entering and the latest time of entering according to the project demand model and the material demand period calculation model;
by utilizing a material plan reporting calculation model, with the latest time corresponding to the material entering as an end point, the earliest reporting time and the latest reporting time of the material demand are reversely pushed through a material purchase supply period, a purchase batch plan reporting deadline, a project milestone plan node, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand;
and pushing the earliest declaration time and the latest declaration time of the material demand, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand to a demand department.
A supply chain optimization method based on intelligent reminding is used for reminding a material planning reserve bank and comprises the following steps:
acquiring a material demand plan filled in a plan stock by a demand department;
constructing a material plan reporting calculation model according to a material demand plan;
and (4) conveying the material plan reporting calculation model to an ERP system, acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department to realize intelligent reminding of supply chain project demands.
A supply chain optimization system based on intelligent reminding is used for project demand reminding and comprises a demand model compiling module, a building module, a leading-in module and an acquiring and pushing module;
the demand model compiling module is used for compiling a project demand model according to a historical project demand list and a general cost design, and storing the audited project demand model as a project demand model;
the construction module is used for constructing a material demand period calculation model and a material plan reporting calculation model;
the import module is used for importing the project demand model, the material demand period calculation model and the material plan reporting calculation model into the ERP system;
the obtaining and pushing module is used for obtaining the demand parameters issued by the ERP system and pushing the demand parameters to the demand department, so that the intelligent reminding of the supply chain project demand is realized.
A supply chain optimization system based on intelligent reminding is used for reminding a material plan stock library and comprises an acquisition module, a material plan reporting calculation model construction module and an uploading and pushing module;
the acquisition module is used for acquiring a material demand plan filled in a plan reserve library by a demand department; (ii) a
The material plan reporting calculation model construction module is used for constructing a material plan reporting calculation model according to a material demand plan;
the uploading and pushing module is used for conveying the material plan reporting calculation model to the ERP system, acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department, so that intelligent reminding of supply chain project demands is realized.
A computer readable storage medium having stored thereon a number of get taxonomy procedures for being invoked by a processor and performing a supply chain optimization method as described above.
The supply chain optimization method and system based on intelligent reminding provided by the invention have the advantages that: the supply chain optimization method and system based on intelligent reminding provided by the structure of the invention solve the situation that an enterprise depends on 'passive acceptance' of material information in material purchasing, and remind by referring to a material purchasing supply period according to project progress information such as milestone plans and the like in combination with a material demand plan storage library.
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FIG. 1 is a schematic structural view of the present invention;
Detailed Description
The present invention is described in detail below with reference to specific embodiments, and in the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed as broadly as the present invention is capable of modification in various respects, all without departing from the spirit and scope of the present invention.
In order to solve the problems in the background technology, the 'putting and managing' reform is implemented, and all purchasing activities of companies and material companies are promoted to be used as an upper platform. According to the principle of 'who purchases and who is responsible', the method combines the construction of modern intelligent supply chain to deepen application, brings all purchasing activity sourcing links which need to fulfill purchasing programs into a unified new generation electronic commerce platform (ECP 2.0) of a company for implementation, and utilizes a platform specification flow to supervise and urge the standardized management of related business bodies, thereby avoiding the problems of off-line purchasing, 'non-recruitment due to recruitment', 'first implementation and later recruitment', and the like. In the process of reform of putting administration service, the supply chain optimization method in the embodiment is adopted, so that the problems of uncertainty of material plan declaration time and unreasonable purchasing batch can be solved.
In order to achieve supply chain optimization of the present application, the following hardware set-up may be set: including system dependencies, other scene associations, data objects, data structuring;
the system dependence comprises an ERP system and a capital construction management and control system, wherein the ERP system is a management platform which is established on the basis of information technology, integrates the information technology and the advanced management thought, and provides decision-making means for enterprise staff and a decision-making layer by using a systematized management thought; the capital construction management and control system is an engineering comprehensive statistical analysis platform and a personal working platform of staff, which are established by a national power grid in order to realize the whole process management and control of engineering projects and the closed-loop management of standard business processes;
other scene associations comprise a preposed scene, namely A _01_01_ construction demand plan stock, a preposed scene, namely E _01_06_01_ batch plan intelligent arrangement, a preposed scene, namely D _01_03_01_ material inventory, intelligent application in a capital construction project research and initial setting stage, and a preposed scene, namely D _01_12_01_ accurate prediction budget based on a project material demand period;
the data objects comprise an input engineering demand model, a material demand period calculation model, a purchasing batch plan, a material supply period, a project milestone plan and a material plan reserve library; "output" - -the earliest and latest declaration times of the material plan, and the corresponding procurement lots.
The data structuralization comprises a purchasing batch plan, a material supply period, a project milestone plan, a material storage plan and project historical purchasing data; there is no unstructured data.
As an example; a supply chain optimization method based on intelligent reminding is used for project demand reminding and comprises the following steps:
s10: according to the historical engineering demand list and the general cost design, an engineering demand model is compiled, and the audited engineering demand model is stored as a project demand model;
organizing experts of each specialty by a material department (material planning specialty) according to a historical engineering demand list and a general cost design, and compiling various engineering demand models; and the professional administration department audits the relevant demand models and provides modification opinions, and the material department (material planning professional) revises and arranges the audit opinions to form project demand models of various projects.
S20: constructing a material demand period calculation model and a material plan reporting calculation model;
a material demand period calculation model and a material plan reporting calculation model are constructed by a material department (material plan specialty).
S30: importing a project demand model, a material demand period calculation model and a material plan reporting calculation model into an ERP system;
the ERP system is a management platform which is established on the basis of information technology, integrates the information technology and the advanced management thought, and provides decision-making means for enterprise employees and a decision-making layer by using the systematized management thought; the capital construction management and control system refers to an engineering comprehensive statistical analysis platform and a personal working platform of staff, which are established by a national power grid in order to realize the whole process management and control of engineering projects and the closed-loop management of standard business processes.
The ERP system processes the imported model, specifically including steps S31 to S33:
s31: calculating material inventory of different types of projects, the earliest time of material entering and the latest time of entering according to the project demand model and the material demand period calculation model; the project demand model is a demand template which is prefabricated and compiled in the system and is based on a certain project, and when the project is carried out, a unit generates a material list according to the standard of the project; the material demand period calculation model obtains a prediction result delivery date reminding function by combining the accurate prediction of material demand with the advance storage of material demand, and reminds before each batch is due; the material plan reporting calculation model reports according to the time nodes, and the material plan is reported at each marking time node.
S32: by utilizing a material plan reporting calculation model, with the latest time corresponding to the material entering as an end point, the earliest reporting time and the latest reporting time of the material demand are reversely pushed through a material purchase supply period, a purchase batch plan reporting deadline, a project milestone plan node, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand;
according to the delivery time of the material on site in the demand plan, the earliest time and the latest time of the corresponding material admission are automatically calculated by the time allowance to carry out the lead-time reverse arrangement of material supply, and the batches meeting the conditions are all displayed for selection, so that the intelligent batch recommendation is realized, and the efficiency of the planning personnel for matching the batches is improved.
S33: and pushing the earliest declaration time and the latest declaration time of the material demand, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand to a demand department.
S40: the method comprises the steps of obtaining demand parameters issued by an ERP system, pushing the demand parameters to a demand department, and achieving intelligent reminding of supply chain project demands, wherein the demand parameters comprise the earliest declaration time and the latest declaration time of material demands, and the earliest procurement batch and the latest procurement batch corresponding to the material demands.
In steps S10 to S40, the information source is input: defining a material inventory by constructing a project demand model; calculating the delivery period of the materials through a material plan reporting calculation model; the earliest declaration time and the latest declaration time of the material demand, the earliest purchasing batch and the latest purchasing batch corresponding to the material demand and the material supply cycle can be directly obtained in the ERP system; project milestone plans are collected in a capital construction management and control system.
The situation that an enterprise depends on 'passive acceptance' of material information in material purchasing is solved, reminding is made by combining a material demand plan storage library and referring to a material purchasing supply period according to project progress information such as a milestone plan, and the problems of uncertainty of material plan reporting time and unreasonable purchasing batch are solved.
As another embodiment; a supply chain optimization method based on intelligent reminding is used for reminding a material planning reserve bank and comprises the following steps:
s100: acquiring a material demand plan filled in a plan stock by a demand department;
s200: constructing a material plan reporting calculation model according to a material demand plan;
s300: and (3) conveying the material plan reporting calculation model to an ERP system, acquiring demand parameters issued by the ERP system, pushing the demand parameters to a demand department, actively reminding the demand department of timely completing the conversion from a reserve plan to a formal plan, and realizing intelligent reminding of supply chain project demands.
And the ERP system processes the imported model, and reversely deduces the material demand declaration time and the corresponding purchasing batch through the material purchasing supply period and the purchasing batch plan declaration deadline by using the material plan submission calculation model and taking the latest time of the corresponding material entering field as an end point.
By the supply chain optimization method, the situation that an enterprise depends on 'passive acceptance' of material information in material purchasing is solved, and reminding is made by combining a material demand plan storage library and referring to a material purchasing supply period according to project progress information such as a milestone plan. The data source system comprises an ERP (enterprise resource planning) and a capital construction management and control system, deployment is carried out in a two-level deployment mode, and both a capital construction management and control data interface and an ERP material management module need to be adaptively modified.
A supply chain optimization system based on intelligent reminding is used for project demand reminding and comprises a demand model compiling module, a building module, a leading-in module and an acquiring and pushing module;
the demand model compiling module is used for compiling a project demand model according to a historical project demand list and a general cost design, and storing the audited project demand model as a project demand model;
the construction module is used for constructing a material demand period calculation model and a material plan reporting calculation model;
the import module is used for importing the project demand model, the material demand period calculation model and the material plan reporting calculation model into the ERP system;
the obtaining and pushing module is used for obtaining the demand parameters issued by the ERP system and pushing the demand parameters to the demand department, so that the intelligent reminding of the supply chain project demand is realized.
A supply chain optimization system based on intelligent reminding is used for reminding a material plan stock library and comprises an acquisition module, a material plan reporting calculation model construction module and an uploading and pushing module;
the acquisition module is used for acquiring a material demand plan filled in a plan reserve library by a demand department; (ii) a
The material plan reporting calculation model construction module is used for constructing a material plan reporting calculation model according to a material demand plan;
the uploading and pushing module is used for conveying the material plan reporting calculation model to the ERP system, acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department, so that intelligent reminding of supply chain project demands is realized.
A computer readable storage medium having stored thereon a number of get classifiers for being invoked by a processor and performing a supply chain optimization method as described above.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (6)

1. A supply chain optimization method based on intelligent reminding is used for project demand reminding and is characterized by comprising the following steps:
according to the historical engineering demand list and the general cost design, an engineering demand model is compiled, and the audited engineering demand model is stored as a project demand model;
and constructing a material demand period calculation model and a material plan reporting calculation model.
And importing the project demand model, the material demand period calculation model and the material plan reporting calculation model into an ERP system.
And acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department to realize intelligent reminding of supply chain project demands.
2. The supply chain optimization method based on intelligent reminding according to claim 1, wherein before acquiring demand parameters issued by the ERP system, the ERP system processes the imported model, specifically as follows:
calculating material inventory of different types of projects, the earliest time of material entering and the latest time of entering according to the project demand model and the material demand period calculation model;
by utilizing a material plan reporting calculation model, with the latest time corresponding to the material entering as an end point, the earliest reporting time and the latest reporting time of the material demand are reversely pushed through a material purchase supply period, a purchase batch plan reporting deadline, a project milestone plan node, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand;
and pushing the earliest declaration time and the latest declaration time of the material demand, and the earliest purchasing batch and the latest purchasing batch corresponding to the material demand to a demand department.
3. A supply chain optimization method based on intelligent reminding is used for reminding a material planning reserve library and is characterized by comprising the following steps:
acquiring a material demand plan filled in a plan stock by a demand department;
constructing a material plan reporting calculation model according to a material demand plan;
and (4) conveying the material plan reporting calculation model to an ERP system, acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department to realize intelligent reminding of supply chain project demands.
4. A supply chain optimization system based on intelligent reminding is used for project demand reminding and is characterized by comprising a demand model compiling module, a building module, an importing module and an acquiring and pushing module;
the demand model compiling module is used for compiling a project demand model according to a historical project demand list and a general cost design, and storing the audited project demand model as a project demand model;
the construction module is used for constructing a material demand period calculation model and a material plan reporting calculation model;
the import module is used for importing the project demand model, the material demand period calculation model and the material plan reporting calculation model into the ERP system;
the obtaining and pushing module is used for obtaining the demand parameters issued by the ERP system and pushing the demand parameters to the demand department, so that the intelligent reminding of the supply chain project demand is realized.
5. A supply chain optimization system based on intelligent reminding is used for reminding a material plan stock library and is characterized by comprising an acquisition module, a material plan reporting calculation model construction module and an uploading and pushing module;
the acquisition module is used for acquiring a material demand plan filled in a plan reserve library by a demand department; (ii) a
The material plan reporting calculation model construction module is used for constructing a material plan reporting calculation model according to a material demand plan;
the uploading and pushing module is used for conveying the material plan reporting calculation model to the ERP system, acquiring demand parameters issued by the ERP system, and pushing the demand parameters to a demand department, so that intelligent reminding of supply chain project demands is realized.
6. A computer readable storage medium having stored thereon a number of get classifier programs for being invoked by a processor and performing the supply chain optimization method of claim 1 or 3.
CN202011582488.5A 2020-12-28 2020-12-28 Supply chain optimization method and system based on intelligent reminding Pending CN112633807A (en)

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CN113487134A (en) * 2021-06-07 2021-10-08 石化盈科信息技术有限责任公司 Material supply and demand tracking method and system, storage medium and electronic equipment
CN113592170A (en) * 2021-07-26 2021-11-02 苏州大学文正学院 APS planning method and system for project type ERP system
CN114971497A (en) * 2022-07-06 2022-08-30 国网浙江省电力有限公司金华供电公司 Cooperative interconnection-based material supply chain full-chain perception data processing method

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Cited By (5)

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Publication number Priority date Publication date Assignee Title
CN113487134A (en) * 2021-06-07 2021-10-08 石化盈科信息技术有限责任公司 Material supply and demand tracking method and system, storage medium and electronic equipment
CN113592170A (en) * 2021-07-26 2021-11-02 苏州大学文正学院 APS planning method and system for project type ERP system
CN113592170B (en) * 2021-07-26 2023-08-08 苏州大学文正学院 APS planning method and system for project-oriented ERP system
CN114971497A (en) * 2022-07-06 2022-08-30 国网浙江省电力有限公司金华供电公司 Cooperative interconnection-based material supply chain full-chain perception data processing method
CN114971497B (en) * 2022-07-06 2022-10-21 国网浙江省电力有限公司金华供电公司 Cooperative interconnection-based material supply chain full-chain perception data processing method

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