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A Novel Manufacturing Service Composition Model Focusing on Enabling a Resilient Supply Chain Network

Shahab, Erfan | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53223 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Haji, Alireza; Fatahi Valilai, Omid; Khaleghparast, Sharif
  7. Abstract:
  8. With the advent of the Industry 4.0 and advances in Information Technology, the manufacturing systems have experienced great evolution and transition in their production paradigms. Among these developments, we can refer to the globalization process of resources and a diversion from mass production to the production that is based on customized orders. Likewise, a movement from product-based manufacturing towards service-based production is taking place. Such changes expose supply networks to new opportunities and threats and encourage them to exploit advanced production systems. Cloud manufacturing, as an approach to fulfill the state-of-the-art opportunities, has been recently considered by researchers. One of the most paramount problems in the cloud manufacturing arena is the cloud service composition, which seeks to allocate services to tasks optimally. In this problem, the cloud supply networks can encounter diverse disruptions in their performances. Thus, it is necessary to develop a resilient structure for a cloud supply network to confront such disruptions in the network. We can introduce redundancy as the most important way of resilience development. This study employs redundancy to create resilience in a cloud supply network within the problem of cloud service composition. It is worth mentioning that this issue is viewed by observing minimum sub-entropy for the conduction of tasks. Lastly, a sample problem is presented for the examination as well as analysis of the model’s results
  9. Keywords:
  10. Cloud Manufacturing ; Redundancy ; Network Resiliance ; Service Composition ; Cloud-based Supply Chain ; Cloud Networks ; Industry 4.0 ; Cloud Supply Network Redundancy

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