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A Practical Multi-Echelon Inventory Model with Semiconductor Manufacturing Application

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Planning Production and Inventories in the Extended Enterprise

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 152))

Abstract

Semiconductor manufacturing is an operationally complex, financially capital intensive business. While companies try to keep up with technology, they try to manage their operations effectively by increasing their capacity utilization, improving manufacturing yields, and reducing cycle times and inventory levels.

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References

  • Bitran GR, Dasu S (1992) Ordering policies in an environment of stochastic yields and suitable demands. Oper Res 40:999–1017

    Article  Google Scholar 

  • Bitran GR, Leong T (1992) Deterministic approximations to co-production problems with service constraints and random yields. Manag Sci 38(5):724

    Article  Google Scholar 

  • Bitran GR, Leong TY (1992) Deterministic approximations to co-production problems with service constraints and random yields. Manag Sci 38:724–742

    Article  Google Scholar 

  • Boyaci T, Gallego G (2001) Serial production/distribution systems under service constraints. Manuf Serv Oper Manag 3:43–50

    Article  Google Scholar 

  • Boyaci T, Gallego G, Shang K, Song JS (2003) Erratum to bounds in “serial production/distribution systems under service constraitns”. Manuf Serv Oper Manag 5:372–374

    Article  Google Scholar 

  • Braun MW, Rivera DE, Carlyle WM, Kempf KG (2003) Application of model predictive control to robust management of multiechelon demand networks in semiconductor manufacturing. Simulation 79(3):139–156

    Article  Google Scholar 

  • Brown AO, Lee HL, Petrakian R (2000) Xilinx improves its semiconductor supply chain using product and process postponement. Interfaces 30(4):65–80

    Article  Google Scholar 

  • Brown A, Ettl M, Lin GY, Petrakian R, Yao DD (2001) Inventory allocation at a semiconductor company: Modeling and optimization. In: Song JS, Yao DD (eds) Supply chain structures: Coordination, information, and optimization. Kluwer Academic Publishers, Boston

    Google Scholar 

  • Chen F, Song JS (2001) Optimal policies for multi-echelon inventory problems with Markov-modulated demand. Oper Res 49:226–243

    Article  Google Scholar 

  • Chong CS, Lendermann P, Gan BP, Duarte BM, Fowler JW, Callarman TE (2004) Analysis of a customer demand driven semiconductor supply chain in a distributed simulation test bed. In: Proceedings of the 2004 winter simulation conference, vol 2, p 1902–1908

    Google Scholar 

  • Clark AJ, Scarf H (1960) Optimal policies for a multi-echelon inventory problem. Manag Sci 6:475–490

    Article  Google Scholar 

  • Cohen MA, Kleindorfer PR, Lee HL (1988) Service constrained (s,S) inventory systems with priority demand classes and lost sales. Manag Sci 34(4):482–499

    Article  Google Scholar 

  • Collins L (2003) A changing landscape. New Electron 36(8):18–20

    Google Scholar 

  • Ettl M, Feigin GE, Lin G, Yao DD (2000) A supply network model with base-stock control and service requirements. Oper Res 48(2):216–232

    Article  Google Scholar 

  • Federgruen A, Zipkin PH (1984) Computational issues in an infinite-horizon, multi-echelon inventory model. Oper Res 32:818–836

    Article  Google Scholar 

  • Gallego G, Özer Ö (2001) Integrating replenishment decisions with advance order information. Manag Sci 47:1344–1360

    Article  Google Scholar 

  • Gallego G, Özer Ö (2003) Optimal replenishment policies for Multi-Echelon inventory problems under advance demand information. Manuf Serv Oper Manag 5:157–175

    Article  Google Scholar 

  • Gallego G, Özer Ö (2005) A new algorithm and a new heuristic for serial supply systems. Oper Res Lett 33(4):349–362

    Article  Google Scholar 

  • Gallego G, Katircioglu K, Ramachandran B (2002) Inventory management under highly uncertain demand. Oper. Res. Lett 35(3):281–289

    Article  Google Scholar 

  • Gallego G, Katircioglu K, Ramachandran B (2005) Semiconductor inventory management with multiple grade parts and downgrading. Prod Plann Control 17(7):689–700

    Article  Google Scholar 

  • Gallego G, Özer Ö, Zipkin P (2007) Bounds, heuristics and approximations for distribution systems. Oper Res 55(3):503–517

    Article  Google Scholar 

  • Gershwin SB, Dallery Y, Papadopoulos CT, Smith JM (ed) (2003) Analysis and modeling of manufacturing systems. Kluwer’s International Series

    Google Scholar 

  • Graves SC, Rinnooy Kan HG, Zipkin PH (ed) (1993) Logistics of production and inventory, handbooks in operations research and management science, vol 4. North-Holland, Amsterdam

    Google Scholar 

  • Hadley G, Whitin TM (1963) Analysis of inventory systems. Prentice-Hall Inc., Englewood Cliffs, NJ

    Google Scholar 

  • Kapoor S, Bhattacharya K, Buckley S, Chowdhary P, Ettl M, Katircioglu K, Mauch E, Phillips L (2005) A technical framework for sense-and-respond business management. IBM Syst J 44(1):5

    Article  Google Scholar 

  • Kilgore SS, Orlov LM, Child M (2002) Balancing supply and demand. Forrester Research, The TechStrategy Report

    Google Scholar 

  • Kodama D (2003) A supply chain balancing act. Managing Automation Online

    Google Scholar 

  • Lee YH (2001) Supply chain model for the semiconductor industry of global market. J Syst Integr 10(3):189–206

    Article  Google Scholar 

  • Lendermann P, Julka N, Gan BP, Chen D, McGinnis LF, McGinnis JP (2003) Distributed supply chain simulation as a decision support tool for the semiconductor industry. Simulation 79(3):126–138

    Article  Google Scholar 

  • Lin G, Buckley S, Cao H, Caswell N, Ettl M, Kapoor S, Koenig L, Katircioglu K, Nigam A, Ramachandran B, Wang KY (2002) The sense-and-respond enterprise. Oper Res Manag Sci Today 29(2):34–39

    Google Scholar 

  • Lyon P, Milne RJ, Orzell R, Rice R (2001) Matching assets with demand in supply chain management at IBM microelectronics. Interfaces 31(1):108

    Article  Google Scholar 

  • Mallik S, Harker PT (2004) Coordinating supply chains with competition: Capacity allocation in semiconductor manufacturing. Eur J Oper Res 159(2):330–347

    Article  Google Scholar 

  • Muckstadt JA (1973) A model for a multi-item, multi-echelon, multi-indenture inventory system. Manag Sci 20(4):472–481

    Article  Google Scholar 

  • Muckstadt JA, Thomas LJ (1980) Are multi-echelon inventory methods worth implementing in systems with low-demand-rate items? Manag Sci 26(5):483–494

    Article  Google Scholar 

  • Navas D (2003) Lean times, lean supply chains. Supply Chain Syst 23(2):22–27

    Google Scholar 

  • Ovacik IM, Weng W (1995) Framework for supply chain management in semiconductor manufacturing industry. In: Proceedings of the IEEE/CPMT International electronics manufacturing technology (IEMT) Symposium, p 47–50

    Google Scholar 

  • Piplani R, Puah SA (2004) Simplification strategies for simulation models of semiconductor facilities. J Manuf Technol Manag 15(7):618–625

    Article  Google Scholar 

  • Rosenbaum BA (1981) Service level relationships in a multi-echelon inventory system. Manag Sci 27(8):926–945

    Article  Google Scholar 

  • Rosling K (1989) Optimal inventory policies for assembly systems under random demands. Oper Res 37:565–579

    Article  Google Scholar 

  • Schwartz LB (1981) Multi-level production / inventory control systems: Theory and practice. North-Holland, Amsterdam

    Google Scholar 

  • Schwartz LB, Schrage L (1975) Optimal and system myopic policies for multi-echelon production/inventory systems. Manag Sci 21(11):1285–1294

    Article  Google Scholar 

  • Shang K, Song JS (2003) Newsvendor bounds and heuristics for optimal policies in serial supply chains. Manag Sci 49:618–638

    Article  Google Scholar 

  • Sherbrooke CC (1986) VARI-METRIC: Improved approximations for multi-indenture, multi-echelon availability models. Oper Res 34:311–319

    Article  Google Scholar 

  • Sherbrooke CC (1992) Optimal inventory modeling of systems: Multi-echelon techniques. Wiley, New York

    Google Scholar 

  • Simchi-Levi D, Wu SD, Shen Z (2004) Handbook of quantitative supply chain analysis: Modeling in an E-business era. Kluwer International Series

    Google Scholar 

  • Uzsoy R, Lee CY, Martin-Vega LA (1992) A review of production planning and scheduling models in the semiconductor industry part I: System characteristics, performance evaluation and production planning. IIE Trans Scheduling Logistics 24:47–61

    Google Scholar 

  • Van Houtum GJ, Interfurth K, Zijm WHM (1996) Materials coordination in stochastic multi-echelon systems. Eur J Oper Res 95:1–23

    Article  Google Scholar 

  • Van Houtum GJ, Zijm WHM (1991) Computational procedures for stochastic multi-echelon production systems. Int J Prod Econ 23:223–237

    Article  Google Scholar 

  • Van Zant P (2000) Microchip fabrication: A practical guide to semiconductor processing. McGraw-Hill, New York

    Google Scholar 

  • Wang W, Rivera DE, Kempf KG (2003) Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. In: Proceedings of the American control conference, Denver, Colorado, IEEE., p 7803–7896, June 2003

    Google Scholar 

  • Wang W, Rivera DE, Kempf KG, Smith KD (2004) A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. In: Proceedings of the 2004 American control conference, vol 5, p 4577–4582

    Google Scholar 

  • Wolf S (2004) Microchip manufacturing. Lattice Press, Sunset Beach, CA

    Google Scholar 

  • Xu Q, Qiu R, Russell D (2003) Collaborative supply chain management in semiconductor manufacturing planning. In: Forth International conference on control and automation, p 83–87

    Google Scholar 

  • Yano C, Lee HL (1995) Lot sizing with random yields: A review. Oper Res 43(2):311–334

    Article  Google Scholar 

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Authors and Affiliations

  1. IBM T. J. Watson Research Center, Yorktown Heights, NY, 10598, USA

    Kaan Katircioglu

Authors
  1. Kaan Katircioglu
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  2. Guillermo Gallego
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Corresponding author

Correspondence to Kaan Katircioglu .

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Editors and Affiliations

  1. , Decision Technologies C3-111, Intel Corporation, W. Chandler Blvd. 5000, Chandler, 85226, USA

    Karl G Kempf

  2. School of Industrial &, Systems Engineering, Georgia Institute of Technology, Ferst Drive NW., 765, Atlanta, 30332-0205, Georgia, USA

    Pınar Keskinocak

  3. , Edward P. Fitts Department of Industrial, North Carolina State University, Daniels Hall, Campus Box 7906 300, Raleigh, 27695, USA

    Reha Uzsoy

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Katircioglu, K., Gallego, G. (2011). A Practical Multi-Echelon Inventory Model with Semiconductor Manufacturing Application. In: Kempf, K., Keskinocak, P., Uzsoy, R. (eds) Planning Production and Inventories in the Extended Enterprise. International Series in Operations Research & Management Science, vol 152. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8191-2_6

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