Development of public cloud manufacturing markets: a mechanism design approach

被引:14
作者
Delaram, Jalal [1 ]
Houshamand, Mahmoud [1 ]
Ashtiani, Farid [2 ]
Fatahi Valilai, Omid [3 ]
机构
[1] Sharif Univ Technol, Dept Ind Engn, Adv Mfg Lab, Tehran, Iran
[2] Sharif Univ Technol, Adv Commun Res Inst, Dept Elect Engn, Tehran, Iran
[3] Jacobs Univ Bremen, Sch Business Social Decis Sci, Bremen, Germany
关键词
Cloud manufacturing; public cloud manufacturing market; market design; matching theory; GROUP DECISION-MAKING; EXTENDED VIKOR METHOD; OF-THE-ART; SERVICE COMPOSITION; OPTIMAL-SELECTION; FUZZY VIKOR; GAME-THEORY; RESOURCES; STRATEGY; PLATFORM;
D O I
10.1080/23302674.2022.2079751
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Online manufacturing markets are new emerging types of markets that are spreading in the shade of public Cloud Manufacturing. This paper introduces a public Cloud Manufacturing market and denotes its differences from a private one. Public Cloud Manufacturing enables service-oriented manufacturing models for everyone in society. The prosperity of such market is tied to appropriate matching between providers to consumers. This paper elaborates on a mechanism to prescribe an appropriate allocation between resources and demands in this public market. The mechanism exploits the VIKOR method to develop preference lists for providers and consumers, the method also is augmented by the Intuitionistic Fuzzy Sets to remove complexities and uncertainties that exist in the process of ranking; and Deferred Acceptance (DA) algorithm is utilised as the matching algorithm of the mechanism. The performance of the mechanism is analysed under influence of the proposer, resource availability and matching algorithm. The influence of proposer study indicates that the situation of the consumer as the proposer is preferred to the providers' situation as proposer; the influence of resource availability study indicates a balanced situation is preferred to the scarcity and abundancy situations and the influence of matching algorithm indicates that DA outperforms Top Trading Cycle (TTC) algorithm as the matching algorithm of the mechanism.
引用
收藏
页数:27
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