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Simulation-Optimization in Support of Tactical and Strategic Enterprise Decisions

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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 151))

Abstract

The modern enterprise has developed highly complex supply chains in order to efficiently satisfy demand while remaining competitive. Supply chains have become distributed global networks that encompass not only the manufacture and delivery of goods but also the activities associated with their development. Moreover, local “here and now” decisions must be made in the presence of future uncertainty while also considering their global and long-term implications. This coupling of wide problem scope with multiple sources of internal and external uncertainties, such as production line breakdowns, raw material availability, market demand, exchange rate fluctuations, developmental failures, etc., has resulted in supply chain decision-making processes that are of high complexity and a very large scale (Zapata et al. 2008).

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Authors and Affiliations

  1. College of Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Joesph Pekny

Authors
  1. Juan Camilo Zapata
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  2. Joesph Pekny
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  3. Gintaras V. Reklaitis
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Corresponding author

Correspondence to Joesph Pekny .

Editor information

Editors and Affiliations

  1. Decision Technologies, Intel Corporation, W. Chandler Blvd. 5000, Chandler, 85226, Arizona, 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 300, Raleigh, 27695, North Carolina, USA

    Reha Uzsoy

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Zapata, J.C., Pekny, J., Reklaitis, G.V. (2011). Simulation-Optimization in Support of Tactical and Strategic Enterprise Decisions. In: Kempf, K., Keskinocak, P., Uzsoy, R. (eds) Planning Production and Inventories in the Extended Enterprise. International Series in Operations Research & Management Science, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6485-4_20

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