Bi-Level Programming Model of Cloud Manufacturing Services Based on Extension Theory

In order to select the proper cloud manufacturing services to satisfy both sides of supplier and demander, a bi-level programming model is proposed based on extension theory in this paper. Firstly, the cloud model is employed to convert qualitative concepts of language description into quantitative...

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Vydáno v:Mathematical problems in engineering Ročník 2018; číslo 2018; s. 1 - 13
Hlavní autoři: Zhao, Jinhui, Zhou, Yu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
John Wiley & Sons, Inc
Témata:
Advanced manufacturing technologies
Application service providers
Cloud computing
Decision making
Fuzzy sets
Game theory
Linear programming
Market positioning
Multiple criterion
Ontology
Programming
Quality of service
Semantic web
Semantics
User needs
Wireless networks
ISSN:1024-123X, 1563-5147
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Shrnutí:In order to select the proper cloud manufacturing services to satisfy both sides of supplier and demander, a bi-level programming model is proposed based on extension theory in this paper. Firstly, the cloud model is employed to convert qualitative concepts of language description into quantitative values. Then, according to multicriteria assessment information, the satisfactions of both providers and demanders are calculated by extension evaluation. Finally, respectively taking satisfactions of the demanders and providers as optimization goal of upper layer and lower layer, a mathematical model of bi-level programming is constructed which is solved by linear programming. Compared with traditional recommended methods, the proposed method takes full account of the interests of service providers which have long been neglected. Moreover, extension evaluation is applied to reflect the demand and preference of each subject in detail. Experimental results verify the effectiveness and applicability of the proposed model.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2018/9702910