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Advances in stochastic models of manufacturing and service operations

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Abstract

The special issue on advances in stochastic models of manufacturing and service operations presents state-of-the art research results in the area of stochastic models for the analysis, design, coordination, and control of manufacturing and service system operations. Although the title includes both “manufacturing” and “service” operations, the main emphasis is on manufacturing. The term “service system operations” is intended to refer mainly to functions that are supportive of manufacturing system operations. The volume includes thirteen state-of-the art articles that can be classified in three categories: stochastic modeling and analysis for design and optimization of manufacturing systems; production planning, management, and control; and analytical approaches to supply chain management.

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Authors and Affiliations

  1. Koç University, Istanbul, Turkey

    B. Tan

  2. Massachusetts Institute of Technology, Cambridge, MA, USA

    S. B. Gershwin

  3. University of Thessaly, Volos, Greece

    G. Liberopoulos

  4. University of Michigan, Ann Arbor, MI, USA

    S. M. Meerkov

  5. Aristotle University of Thessaloniki, Thessaloniki, Greece

    C. T. Papadopoulos

Authors
  1. B. Tan
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  2. S. B. Gershwin
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  3. G. Liberopoulos
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  4. S. M. Meerkov
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  5. C. T. Papadopoulos
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Corresponding author

Correspondence to B. Tan.

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Tan, B., Gershwin, S.B., Liberopoulos, G. et al. Advances in stochastic models of manufacturing and service operations. Ann Oper Res 231, 1–3 (2015). https://doi.org/10.1007/s10479-015-1868-7

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  • DOI: https://doi.org/10.1007/s10479-015-1868-7

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