Advances in stochastic models of manufacturing and service operations
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10479_2015_Article_1868.pdf
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Author(s)
Tan, B.
Liberopoulos, G.
Meerkov, S. M.
Papadopoulos, C. T.
Gershwin, Stanley B
Date Issued
April 2015
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10479-015-1868-7
