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Selection of resource service chain with conflict-free dependencies in cloud manufacturing systems

Selection of resource service chain with conflict-free dependencies in cloud manufacturing systems In cloud manufacturing (CMfg), to improve the efficiency of a whole business process, all distributed manufacturing resources services should be selected as 'service flows', called resource-service chain (RSC). However, selecting an RSC with conflict-free dependency is more difficult in collaborative manufacturing than in a centralised one, as resource services are usually selected independently by different organisations. To overcome this shortcoming, an algorithm based evolutionary algorithm is proposed. First, five common types of dependencies are defined after analysing the relationship among manufacturing resources. Then, genetic algorithm (GA) is applied to find the optimal set of RSCs, in which the dependencies among resource services are considered as constraint rules. Finally, a collaborative business process is taken as an instance to verify the selection of RSCs with conflict-free dependency. The results show that it can improve the efficiency of resource service selection. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

Selection of resource service chain with conflict-free dependencies in cloud manufacturing systems

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2020.107945
Publisher site
See Article on Publisher Site

Abstract

In cloud manufacturing (CMfg), to improve the efficiency of a whole business process, all distributed manufacturing resources services should be selected as 'service flows', called resource-service chain (RSC). However, selecting an RSC with conflict-free dependency is more difficult in collaborative manufacturing than in a centralised one, as resource services are usually selected independently by different organisations. To overcome this shortcoming, an algorithm based evolutionary algorithm is proposed. First, five common types of dependencies are defined after analysing the relationship among manufacturing resources. Then, genetic algorithm (GA) is applied to find the optimal set of RSCs, in which the dependencies among resource services are considered as constraint rules. Finally, a collaborative business process is taken as an instance to verify the selection of RSCs with conflict-free dependency. The results show that it can improve the efficiency of resource service selection.

Journal

International Journal of Internet Manufacturing and ServicesInderscience Publishers

Published: Jan 1, 2020

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