Abstract
The research work described in Chap. 5 was to propose a methodology for scheduling RFAC in a dynamic environment by combining Taguchi experimental design method with simulation modelling. This work was restricted to solving single-objective optimization problems. Chapter 6 was devoted to achieving multi-objective optimisation of dynamic scheduling in RFAC using a new Fuzzy Multi-Criteria Decision-Making (Fuzzy MCDM) approach. The proposed approach will be examined, verified and validated in this chapter, using a realistic case study.
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© 2016 Springer International Publishing Switzerland
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Abd, K.K. (2016). Case Study 2: Application of Hybrid Fuzzy MCDM Approach to Optimize Dynamic Scheduling in RFAC. In: Intelligent Scheduling of Robotic Flexible Assembly Cells. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-26296-3_7
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DOI: https://doi.org/10.1007/978-3-319-26296-3_7
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-26296-3
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