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Complexity Analysis of Assembly Supply Chain Configurations

[+] Author Affiliations
Hui Wang, Xiaowei Zhu, S. Jack Hu, Yoram Koren

University of Michigan, Ann Arbor, MI

Paper No. ESDA2008-59170, pp. 501-510; 10 pages
  • ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 4: Fatigue and Fracture; Fluids Engineering; Heat Transfer; Mechatronics; Micro and Nano Technology; Optical Engineering; Robotics; Systems Engineering; Industrial Applications
  • Haifa, Israel, July 7–9, 2008
  • Conference Sponsors: International
  • ISBN: 978-0-7918-4838-8 | eISBN: 0-7918-3827-7
  • Copyright © 2008 by ASME


This paper studies the complexity of assembly supply chains in mass customization environment. The high product variety from mass customization increases the complexity of assembly supply chains. The paper identifies the factors causing supply chain complexity and defines a complexity measure of an assembly supply chain based on these factors and the information entropy theory. Algorithms that determine the optimal supply chain configuration are developed to minimize the supply chain complexity (without and with assembly constraints). This analytical study of supply chain complexity will generate new insights on the influence of product variety on supply chains performance in mass customization. The model and algorithms developed in this paper can assist in making decisions such as when and how to implement a modular assembly supply chain and how much variety should be economically offered.

Copyright © 2008 by ASME



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