Supporting capacity sharing in the cloud manufacturing environment based on game theory and fuzzy logic

被引:52
作者
Argoneto, Pierluigi [1 ]
Renna, Paolo [1 ]
机构
[1] Univ Basilicata, Sch Engn, I-85100 Potenza, Italy
关键词
cloud manufacturing; game theory; fuzzy engine; capacity sharing; enterprise network; simulation; BUSINESS; NEGOTIATION; PERFORMANCE; SYSTEM;
D O I
10.1080/17517575.2014.928950
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:193 / 210
页数:18
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