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CM is the grouping of discrete multi-machines that produce part families with similar geometry or sequence of process and aims to improve manufacturing systems productivity. The methods/models used are classified into: array-based, clustering, mathematical programming based (viz., integer programming), graph theoretic, Multi-Criteria Decision-Making (MCDM) and artificial intelligence techniques. Fuzzy...
This paper deals with the development of a System Dynamics Model to optimize the stock in production and distribution points of a manufacturing supply chain. The variables of study include production start rate, work in progress, production rate, distribution inventory, distribution rate, and waste rate. The results depict that increase in stock reduces the load on production variables, accordingly...
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