An ERP-based Solution for the Supply Chain Planning of Medium-sized Global Manufacturing Company

Jun Der Leu, Andre Krischke, Yi Ping Lee, Larry Jung Hsing Lee, Yi Wei Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In order to achieve the integration of a supply chain with upstream and downstream manufacturers that are cross-border and cross-regional, Enterprise information systems, such as Enterprise Resource Planning (ERP) systems, have been applied to organization-wide coordination and the integration of business functions and processes. But these information systems are usually a platform for data exchanges, lacking the function of decision-making that is required in cross-border operations and planning scenarios. ERP-based Decision Support Systems (DSS) have been developed in some industries, but there are few studies of application cases. In this research, on the basis of ERP, we study the advanced planning system (APS) with theory of constraints (TOC) in decision logic design, and the system development of a master plan in a flat-panel display systems manufacturer. The results show that the case company, establishing a new system with the methods proposed in this paper, enhances planning and decision-making speed faster than the old one. The inventory level of final products and shortages of Vendor Managed Inventory (VMI) hubs are improved. This successful case offers a reference to other enterprises.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
PublisherIEEE Computer Society
Pages1201-1205
Number of pages5
ISBN (Electronic)9781538667866
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand
Duration: 16 Dec 201819 Dec 2018

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2019-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Country/TerritoryThailand
CityBangkok
Period16/12/1819/12/18

Keywords

  • Advanced Planning System (APS)
  • Decision Support System (DSS)
  • Enterprise Resource Planning (ERP)
  • Theory of Constraints (TOC)

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