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Mutual Operation and Routing Problem Considering Customer Clustering in Cloud Manufacturing

Assari, Mozhgan | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50258 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Fattahi Valilai, Omid
  7. Abstract:
  8. Regarding to globalization concept, all companies around the world can communicate with each other, share their technologies and also compensate their production deficiencies. To achieve this goal, cloud manufacturing system have been proposed and investigated. One of the most important issues in cloud manufacturing is focusing on the service composition, in which a composition of cloud services is determined to meet customer demands. Also due to the distribution of the resources in the different points and geographic locations, considering to the production and routing which previously have been studied in the classical space is very important. Considering this, the problem is as follows: combination of the services is based on the production capacity of each service provider and its production cost. The purpose of the combinations of the services is to allocate optimal activities to manufacturing plants, considering the goals such as time, production and transportations costs minimizations are taken to account. For such a problems , the assumptions are considered as follows :1.The one product system 2. Considers there is an unique operation process chart 3. A large numbers of final consumers are considered 4. It is assumed that final consumer clustering exists 5.Consideration of services as transportation and production operations In this thesis ,based on the above assumptions, a mixed integer model for optimizing the composition of services in cloud space is presented. Also, in order to solve a large scale problem, a meta heuristic algorithm has been applied
  9. Keywords:
  10. Cloud Manufacturing ; Optimization ; Routing ; Service Composition ; Outsourcing ; Customer Clustering

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