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- W2554375514 abstract "In this paper, the application of Non-dominated Sorting Genetic Algorithm (NSGA) II for optimization of reconfigurable cellular manufacturing system is presented. To sustain in a dynamic manufacturing scenario, a manufacturing system must be flexible enough to cope with demand fluctuation competing on both cost and time dimensions. In the present study, the drawbacks of conventional cellular manufacturing due to dedicated machines have been attempted to overcome using Reconfigurable Machine Tools (RMTs). The characteristics of RMTs are implemented to impart a certain degree of flexibility in a cellular manufacturing framework. An RMT encompasses a specific and customized range of operational requirements in terms of capacity and functionality. Multi-dimensional objectives and parameters are established to efficiently incorporate RMTs into machine cells and mathematical model is developed for the same. Then, an NSGA II-based approach is proposed to optimize the capacities and functionalities of RMTs pursuing the objective functions." @default.
- W2554375514 created "2016-11-30" @default.
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- W2554375514 date "2016-11-09" @default.
- W2554375514 modified "2023-09-28" @default.
- W2554375514 title "An NSGA II-Based Approach for Optimization of Reconfigurable Cellular Manufacturing System" @default.
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- W2554375514 doi "https://doi.org/10.1007/978-981-10-2525-9_6" @default.
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