Cellular manufacturing system desing and multi-objective scheduling problem solution in an automotive supplier industry enterprise
2020
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Advisor: Prof. Dr. Şafak Kırış
Abstract (EN)
In a globalizing world, enterprises are seeking to reduce their costs in order to sustain their assets and meet customer demands and complaints. The vast majority of the costs of the enterprises do not consist of general expenses and labor costs, as expected. Although the production system used and the errors in implementation are considered as an inconspicuous cost, it is generally thought that this is the highest cost item in the studies conducted. Enterprises in an increasingly competitive environment want to reduce or eliminate all their waste to minimize all cost items and maintain their profitability. To this end, they are working to make appropriate changes to their production systems. The cellular manufacturing system creates advantages such as increased productivity, shortened transport times, and reduced work-in-process stocks by grouping similar parts and machines and ensuring that a family of parts is produced in each group. For this reason, it has recently become a manufacturing system that has attracted attention for both researchers and practitioners. In this study, a cellular manufacturing system has been desinged for a manufacturing division based on the process in an enterprise operating in the automotive supplier industry. The aim of the study is to provide minimizing of completion times by grouping the products according to their similarities and to respond to customer demands quickly. Rank Order Clustering (ROC) Algorithm has been used in the assignment of parts and machines. Then, a multi-objective mixed integer programming model was created for each cell and it was aimed to minimize the total delay and mean completion time. In solving the multi-objective problem, epsilon constraint and weighted total scalarization method were used. A knowledge system has been proposed for the problem, which has a dynamic structure, to provide a permanent solution for the enterprise and to provide user convenience.
Author
Sena Aydoğan
How to Cite
Sena Aydoğan (Master Thesis). Cellular manufacturing system desing and multi-objective scheduling problem solution in an automotive supplier industry enterprise, 2020, Kütahya Dumlupınar University.
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