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Advances in stochastic models of manufacturing and service operations

Author(s)
Tan, B.; Liberopoulos, G.; Meerkov, S. M.; Papadopoulos, C. T.; Gershwin, Stanley B
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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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.
Date issued
2015-04
URI
http://hdl.handle.net/1721.1/104791
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
Annals of Operations Research
Publisher
Springer US
Citation
Tan, B. et al. “Advances in Stochastic Models of Manufacturing and Service Operations.” Annals of Operations Research 231.1 (2015): 1–3.
Version: Author's final manuscript
ISSN
0254-5330
1572-9338

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