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Research on the FJSS problem with discrete equipment capability in cloud manufacturing environment

Research on the FJSS problem with discrete equipment capability in cloud manufacturing environment In the cloud manufacturing environment, the flexible job shop scheduling needs to handle the online task and offline tasks simultaneously, which make the processing time of equipment become from continuous to discrete. For solving this issue, a mathematical model considering discrete equipment capability was proposed. In this model, the additional profits constraint and the equipment capability conflict constraint are introduced. The former was used to promise the optimal solution is profitable for the manufacturing enterprise; the latter was used to promise the online task coming from the other manufacturing enterprises can be processed. Then an improved ant colony algorithm is adopted to solve this problem. Finally, the experimental results show that the flexible job shop scheduling problem with discrete equipment capability in cloud manufacturing environment could be solved effectively. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

Research on the FJSS problem with discrete equipment capability in cloud manufacturing environment

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2019.098225
Publisher site
See Article on Publisher Site

Abstract

In the cloud manufacturing environment, the flexible job shop scheduling needs to handle the online task and offline tasks simultaneously, which make the processing time of equipment become from continuous to discrete. For solving this issue, a mathematical model considering discrete equipment capability was proposed. In this model, the additional profits constraint and the equipment capability conflict constraint are introduced. The former was used to promise the optimal solution is profitable for the manufacturing enterprise; the latter was used to promise the online task coming from the other manufacturing enterprises can be processed. Then an improved ant colony algorithm is adopted to solve this problem. Finally, the experimental results show that the flexible job shop scheduling problem with discrete equipment capability in cloud manufacturing environment could be solved effectively.

Journal

International Journal of Internet Manufacturing and ServicesInderscience Publishers

Published: Jan 1, 2019

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