Inner and outer loop optimization in semiconductor manufacturing supply chain management

  • Wenlin Wang
  • Daniel E. Rivera
  • Hans D. Mittelmann
Original Paper

Abstract

Supply chain management (SCM) in semiconductor manufacturing differs from many other SCM applications in that it has to simultaneously consider both long and short time scale stochasticity and nonlinearity. We present a two-level hierarchical structure for SCM motivated by these considerations. A linear programming (LP)-based strategic planning module forms the outer loop which makes long timescale decisions on the starts of factories. A model predictive control (MPC) based tactical execution module forms the inner loop which generates short timescale decisions on the starts of factories by considering the stochasticity and nonlinearity on both supply and demand sides. Two representative case studies are examined under diverse realistic conditions with this integrated framework. It is demonstrated that given conditions of stochasticity, nonlinearity, and forecast error this hierarchical decision structure can be tuned to manage representative semiconductor manufacturing supply chains in a manner appealing to operations.

Keywords

Semiconductor manufacturing Supply chain management Model predictive control Linear programming Strategic planning Tactical execution Hierarchical decision-making 

References

  1. Christopher M (1992) Logistics and supply chain management. Pitman Publishing, LondonGoogle Scholar
  2. Hines P (1995) Network sourcing: a hybrid approach. Int J Purchas Mater Manage 31(2): 18–25Google Scholar
  3. Lamming RC (1996) Squaring lean supply with supply chain management: lean production and work organization. Int J Oper Product Manage 16(2): 183–197CrossRefGoogle Scholar
  4. Syracuse University (2008) Martin J. Whiteman School of Management, http://whitman.syr.edu/Academics/Marketing/SupplyChain/FAQ.asp#faq_2
  5. Kempf KG (2004) Control-oriented approaches to supply chain management in semiconductor manufacturing. Proc Am Control Conf 5: 4563–4576Google Scholar
  6. Simchi-Levi D, Kaminsky P, Simchi-Levi E (2000) Designing and managing the supply chain: concepts, strategies and case studies. McGraw Hill, New YorkGoogle Scholar
  7. Hopp WJ, Spearman ML (1996) Factory physics: foundations of manufacturing management. McGraw Hill, New YorkGoogle Scholar
  8. Chopra S, Meindl P (2001) Supply chain management: strategy, planning, and operation. Prentice-Hall, Upper Saddle RiverGoogle Scholar
  9. Kapuscinski R, Tayur S (1999) Optimal policies and simulation-based optimization for capacitated production inventory systems, quantitative models for supply chain management. Kluwer, Boston, pp 7–40Google Scholar
  10. Graves SC, Willems SP (2000) Optimizing strategic safety stock placement in supply chains. Manuf Serv Oper Manage 2(1): 68–93CrossRefGoogle Scholar
  11. García CE, Prett DM, Morari M (1989) Model predictive control: theory and practice—a survey. Automatica 25(3): 335–348CrossRefGoogle Scholar
  12. Camacho EF, Bordons C (1999) Model predictive control. Springer, LondonGoogle Scholar
  13. Kempf KG (2004) Control-oriented approaches to supply chain management in semiconductor manufacturing. In: American control conferences, vol 5. Boston, pp 4563–4576Google Scholar
  14. Tzafestas S, Kapsiotis G, Kyriannakis E (1997) Model-based predictive control for generalized production planning problems. Comput Ind 34: 201–210CrossRefGoogle Scholar
  15. Bose S, Pekny JF (2000) A model predictive control framework for planning and scheduling problems: a case study of consumer goods supply chain. Comput Chem Eng 24: 329–335CrossRefGoogle Scholar
  16. Perea E, Ydstie E, Grossmann I (2003) A model predictive control strategy for supply chain optimization. Comput Chem Eng 27: 1201–1218CrossRefGoogle Scholar
  17. Braun MW, Rivera DE, Carlyle WM, Kempf KG (2003) Application of model predictive control to robust management of multi-Echelon demand networks. Simul Trans Soc Model Simul Int 79(3): 139–156CrossRefGoogle Scholar
  18. Seferlis P, Giannelos NF (2004) A two-layered optimisation-based control strategy for multi-echelon supply chain networks. Comput Chem Eng 28: 799–809CrossRefGoogle Scholar
  19. Åström KJ, Wittenmark B (1984) Computer controlled systems: theory and design. Prentice-Hall, Englewood CliffsGoogle Scholar
  20. Wang W, Rivera DE (2008) Model predictive control for tactical decision-making in semiconductor manufacturing supply chain management. IEEE Trans Control Syst Technol 16(5): 841–855CrossRefGoogle Scholar
  21. Wang W (2007) Model predictive control strategies for supply chain management in semiconductor manufacturing. PhD Dissertation, Department of Chemical Engineering, Arizona State UniversityGoogle Scholar
  22. Mittelmann HD (1999) Benchmarking interior point LP/QP solvers. Opt Meth Softw 12: 655–670CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Wenlin Wang
    • 1
    • 2
  • Daniel E. Rivera
    • 3
  • Hans D. Mittelmann
    • 4
  1. 1.Department of Chemical and Materials EngineeringArizona State UniversityTempeUSA
  2. 2.Computer Integrated Manufacturing GroupFreescale Semiconductor Inc.ChandlerUSA
  3. 3.Department of Chemical EngineeringArizona State UniversityTempeUSA
  4. 4.Department of Mathematics and StatisticsArizona State UniversityTempeUSA

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