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Supporting capacity sharing in the cloud manufacturing environment based on game theory and fuzzy logic
- Source :
- Enterprise Information Systems. 10:193-210
- Publication Year :
- 2014
- Publisher :
- Informa UK Limited, 2014.
-
Abstract
- This paper proposes a Framework for Capacity Sharing in Cloud Manufacturing FCSCM able to support the capacity sharing issue among independent firms. The success of geographical distributed plants depends strongly on the use of opportune tools to integrate their resources and demand forecast in order to gather a specific production objective. The framework proposed is based on two different tools: a cooperative game algorithm, based on the Gale–Shapley model, and a fuzzy engine. The capacity allocation policy takes into account the utility functions of the involved firms. It is shown how the capacity allocation policy proposed induces all firms to report truthfully their information about their requirements. A discrete event simulation environment has been developed to test the proposed FCSCM. The numerical results show the drastic reduction of unsatisfied capacity obtained by the model of cooperation implemented in this work.
- Subjects :
- 0209 industrial biotechnology
Information Systems and Management
Database
Operations research
Computer science
business.industry
Cloud computing
02 engineering and technology
Demand forecasting
computer.software_genre
Fuzzy logic
Computer Science Applications
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Production (economics)
Enterprise private network
020201 artificial intelligence & image processing
Discrete event simulation
Cloud manufacturing
business
computer
Game theory
Subjects
Details
- ISSN :
- 17517583 and 17517575
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Enterprise Information Systems
- Accession number :
- edsair.doi...........2b517c815a8f464db078ff7280c85ba4
- Full Text :
- https://doi.org/10.1080/17517575.2014.928950