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Production Planning and Configuration Selection in a Reconfigurable Manufacturing System (RMS) Considering Raw Materials

Keshavarz Mohammadian, Mohammad Reza | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54615 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Houshmand, Mahmoud
  7. Abstract:
  8. The Reconfigurable manufacturing system (RMS) was first introduced in 1996 with the ability to respond quickly to market changes and in response to global competition between companies. The effort of this research is to expand the problem presented in the Moghaddam et al. (2019) by introducing the concept of raw materials for the production of parts and related issues such as purchasing and warehousing raw materials, and providing a suitable solution to the problem. In the basic article, the RMS should utilize the best combination of machines and their configurations in proportion to the demand of the products in order to minimize the cost and produce all the demand. In this study, a large part of these assumptions have been considered and also the costs related to the purchase and warehousing and shortage of raw materials have been added to the set of costs. In this research, the system should determine its production amount in proportion to the demand of products and the stock of available raw materials, and calculate the hourly output required for each operation based on the production amount of parts. Then, like the basic article, it provides the capacity needed to produce products at the lowest possible cost. In addition to explaining the conditions of the problem, a numerical example is also given. To solve this problem, a mixed integer linear programming model is presented and the answer of the proposed example is obtained. then, by analyzing the sensitivity of the model based on two initial parameters, some improvement strategies are expressed for the proposed example, and finally, the general conclusion and future research suggestions are expressed
  9. Keywords:
  10. Reconfigurable Manufacturing System ; Mixed Integer Linear Programming ; Scalability ; Raw Material Storages ; Configuration Selection Strategy

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