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Stable allocation of services in public cloud manufacturing platforms: A game theory view

Delaram, J ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.promfg.2021.10.043
  3. Publisher: Elsevier B.V , 2021
  4. Abstract:
  5. With unbounding the manufacturing resources and capabilities from shopfloors and being available as on-demand services for everyone who needs, the service allocation problem becomes critical. Despite of private Cloud Manufacturing platforms in which the service allocation problem is an optimization matching problem, in public Cloud Manufacturing platforms the service allocation problem is a matching game between manufacturing providers and consumers. This is a complex form of games that has two sides, one side is the players that has manufacturing resources and capabilities and the other side is the players who want to receives such services. In this paper, we present a matching game model for public Cloud Manufacturing platforms, and discusses the stable solution of the game using Deferred Acceptance algorithm. Then, we examine the model using a case study from automotive spare parts manufacturing in Iran which was the main motivation of this study. The novelty of the contribution of this paper is in development of a stable and optimal matching mechanism for public platforms. © 2021 The Authors. Published by Elsevier Ltd
  6. Keywords:
  7. Computer aided manufacturing ; Allocation problems ; Cloud Manufacturing ; Cloud manufacturing ; Manufacturing capability ; Manufacturing platforms ; Manufacturing resource ; Public clouds ; Public platform ; Service allocations ; Stable matching problem ; Game theory
  8. Source: 30th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2021, 7 September 2021 through 10 September 2021 ; Volume 55, Issue C , 2021 , Pages 306-311 ; 23519789 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S2351978921002407#!