Deployment and Implementation of IFS System Procurement Management Module of Road Network Company

Authors

DOI:

https://doi.org/10.31181/jscda11202325

Keywords:

Enterprise resource plan, Purchasing management, System implementation, Major factors, Risk factors, Decision Analytics

Abstract

Enterprise Resource Plan is the coordination of management and technology, making full use of information and supporting operational decision is the resource of ERP. Huge enterprise need to adapt the management requirement of information age and implement ERP. Beijing Rail Transit Luwang Group implement project management and operate resource is the coordination of ERP concept and software, and put it into practice and operation. Purchasing management module take an important role in the ERP implementation. Material purchase, equipment purchase finance control, all these need to realize in the purchasing management system. So we make research and analyze to the purchasing management, then design and develop for IFS purchasing function module, and achieve the purpose of adjusting the organization structure and implementing function. This article analyzed the factors which affect the ERP implementation in every stage and evaluated the result of implement ERP. And this article also present the all processes from demand analysis to system test. According to the current situation of Luwang Group, we proposed adjustment for the management system which all departments participant, then build the relationship between material requirement with purchase application and contract, in order to promote the efficiency and turnover ratio of spare parts. Improving the material management and ensure the consistence between cash on hand and accounting ledger. Then evaluating the ERP efficiency and summarizing the advantages and problems of internal enterprise, and providing experience for ERP implementation widely.

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Published

2023-10-03

How to Cite

Zheng, Y. (2023). Deployment and Implementation of IFS System Procurement Management Module of Road Network Company. Journal of Soft Computing and Decision Analytics, 1(1), 283-302. https://doi.org/10.31181/jscda11202325