Optimization of Inter Cellular Movement of Parts in Cellular Manufacturing System Using Genetic Algorithm
Polu Vidya Sagar, Siva Prasad Darla, B. Venkat Likhit, C.D. Naiju
Abstract
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Polu Vidya Sagar, Siva Prasad Darla, B. Venkat Likhit, C.D. Naiju
Abstract
Open-access reader
In the modern manufacturing environment, Cellular Manufacturing Systems (CMS) have gained greater importance in job shop or batch-type production to gain economic advantage similar to those of mass production. Successful implementation of CMS highly depends on the determination of part families; machine cells and minimizing inter cellular movement. This study considers machine component grouping problems namely inter-cellular movement and cell load variation by developing a mathematical model and optimizing the solution using Genetic Algorithm to arrive at a cell formation to minimize the inter-cellular movement and cell load variation. The results are presented with a numerical example.
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In the modern manufacturing environment, Cellular Manufacturing Systems (CMS) have gained greater importance in job shop or batch-type production to gain economic advantage similar to those of mass production. Successful implementation of CMS highly depends on the determination of part families; machine cells and minimizing inter cellular movement. This study considers machine component grouping problems namely inter-cellular movement and cell load variation by developing a mathematical model and optimizing the solution using Genetic Algorithm to arrive at a cell formation to minimize the inter-cellular movement and cell load variation. The results are presented with a numerical example.
Key concepts: Cellular manufacturing, Cell formation, Job shop, Genetic algorithm, Variation (astronomy), Movement (music), Group technology, Computer science