NDLI: Modeling of Supply Chain Decision Logic Using PID Controllers

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	See, Tung-King Edward, M. Kasprzak Singh, Tarunraj Kemper, E. Lewis
Copyright Year	2004
Abstract	Most manufacturing takes place in the context of a supply chain. Each station in the supply chain must not only manufacture a product but also decide how much to produce. This decision is influenced by the supply of materials/components from the next station down in the supply chain and the demand from the next station up. With the advent of increased customization, inventory management is increasingly becoming a critical issue in the manufacturing process. In this paper we model the decision logic at each stage of a supply chain system through the use of system identification and PID controllers. The goal is to investigate and manage the costs of manufacturing a product in the context of a supply chain. It is assumed that the supply chain has well-understood interactions between individual positions, allowing for a focus on the ordering decision logic. A review of ordering strategies is presented, and a discussion of the difficulties in determining PID gains for human decision makers is included. The results show a range of correlation between the PID simulation and measured supply chain inventories. This stems from a number of factors, which are discussed. Additionally, ordering strategies to optimize the supply chain are investigated.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	755
Ending Page	763
Page Count	9
File Format	PDF
ISBN	0791846962
DOI	10.1115/DETC2004-57760
e-ISBN	0791837424
Volume Number	Volume 3d: 8th Design for Manufacturing Conference
Conference Proceedings	ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2004-09-28
Publisher Place	Salt Lake City, Utah, USA
Access Restriction	Subscribed
Subject Keyword	Manufacturing Simulation Modeling Supply chains Control equipment
Content Type	Text
Resource Type	Article

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