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A Novel Cloud Manufacturing Service Composition Model for Realizing the Supply Chain Resilience Structure

Zamani Foroushani, Niloofar | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53174 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Haji, Alireza; Fatahi Valilai, Omid
  7. Abstract:
  8. globalization has altered the structure of supply chains and the way they operate. These changes have mainly intensified by novel manufacturing models, especially cloud manufacturing, a service-oriented model in which manufacture’s capabilities and distributed resources are shared through a centralized management and control of CMfg platforms. Thus, cloud manufacturing has enabled service providers to reduce their costs and enhance production speed by creating virtual production lines. However; while being beneficial, cloud manufacturing models can introduce new challenges. One of the goals of cloud manufacturing models is to provide the access to value added services so that available services are manipulated in order to implement complex tasks which is called service composition problem. Service composition is practiced when implementing a complicated task by only one service is impossible. Nevertheless, it is crucial to take resilience into the account when complicated tasks are decomposed and assigned to different service providers. All the enumerate above-mentioned is converging to the point that choosing the optimal service selection plays a vital role in developing a resilience supply chain; yet it has not been explored enough and there are lots of research potential in this regard. In this paper, to achieve a resilient supply chain of cloud logistic service in a turbulent uncertain world, a multi-stage dynamic programming model for service matching problem is proposed. The model takes into the account the effects of decisions, made in current stage, on the next stages. It had been simulated and the results are presented. Finally, the model has been validated and sensitivity analysis has been carried out
  9. Keywords:
  10. Cloud Manufacturing ; Service Composition ; Dynamic Programming ; Service Marketing ; Logistic Service Sharing ; Supply Chain Resilience Strategies

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