Advances in stochastic models of manufacturing and service operations
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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer US
2016
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| Online Access: | http://hdl.handle.net/1721.1/104791 https://orcid.org/0000-0002-1124-7143 |
| _version_ | 1811078441817079808 |
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| author | Tan, B. Liberopoulos, G. Meerkov, S. M. Papadopoulos, C. T. Gershwin, Stanley B |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Tan, B. Liberopoulos, G. Meerkov, S. M. Papadopoulos, C. T. Gershwin, Stanley B |
| author_sort | Tan, B. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:59:44Z |
| format | Article |
| id | mit-1721.1/104791 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:59:44Z |
| publishDate | 2016 |
| publisher | Springer US |
| record_format | dspace |
| spelling | mit-1721.1/1047912024-06-26T15:12:51Z Advances in stochastic models of manufacturing and service operations Tan, B. Liberopoulos, G. Meerkov, S. M. Papadopoulos, C. T. Gershwin, Stanley B Massachusetts Institute of Technology. Department of Mechanical Engineering Gershwin, Stanley B 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. 2016-10-07T16:54:54Z 2016-10-07T16:54:54Z 2015-04 2016-08-18T15:44:50Z Article http://purl.org/eprint/type/JournalArticle 0254-5330 1572-9338 http://hdl.handle.net/1721.1/104791 Tan, B. et al. “Advances in Stochastic Models of Manufacturing and Service Operations.” Annals of Operations Research 231.1 (2015): 1–3. https://orcid.org/0000-0002-1124-7143 en http://dx.doi.org/10.1007/s10479-015-1868-7 Annals of Operations Research 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. Springer Science+Business Media New York application/pdf Springer US Springer US |
| spellingShingle | Tan, B. Liberopoulos, G. Meerkov, S. M. Papadopoulos, C. T. Gershwin, Stanley B Advances in stochastic models of manufacturing and service operations |
| title | Advances in stochastic models of manufacturing and service operations |
| title_full | Advances in stochastic models of manufacturing and service operations |
| title_fullStr | Advances in stochastic models of manufacturing and service operations |
| title_full_unstemmed | Advances in stochastic models of manufacturing and service operations |
| title_short | Advances in stochastic models of manufacturing and service operations |
| title_sort | advances in stochastic models of manufacturing and service operations |
| url | http://hdl.handle.net/1721.1/104791 https://orcid.org/0000-0002-1124-7143 |
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