Abstract
This paper is presented with an algorithm for manufacturing cell system design and part family identification. The model is suitable for establishing a good division of machine cells and part families considering operation sequence data. The aim of this model is the maximization of group technology efficiency value which is mostly used for measuring the worth of cellular configurations when route matrix data is considered in design. Allocating machines to different machine cells is carried out using a randomized procedure based on genetic algorithm. Five situations based on four problems were subjected to comparison based on Group Technology Efficiency (GTE) with two other methods from the literature and it is observed that the new algorithm is either outperforming the other methods or giving the best results obtained from them.
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Shiyas, C.R., Radhika, B., Vineetha, G.R. (2019). A Sequence-Based Cellular Manufacturing System Design Using Genetic Algorithm. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_35
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DOI: https://doi.org/10.1007/978-981-13-0617-4_35
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