An Assembly Line Balancing Application on Oven Production Line with Hyper-Heuristics

Gökhan Seçme and Lale Özbakır
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Gökhan Seçme: Nevşehir Hacı Bektaş Veli University, Nevşehir, Turkey
Lale Özbakır: Erciyes University, Kayseri, Turkey

International Journal of Operations Research and Information Systems (IJORIS), 2019, vol. 10, issue 3, 44-58

Abstract: In this study, an oven assembly line that is planning to re-establish manufacturing to increase the efficiency of the assembly process. The importance of the problem emerges from a real-world application consisting of product-oriented restrictions. These multiple restricted problems address the single model assignment restricted ALB problem with positional constraints. A cost-based objective function is used to cope with this problem. The number of platformed and non-platformed stations, the number of direction changes in a station, the number of stations in which both connector and combiner are used are the cost factors of the objective function. Also, the main objective of the problem is to minimize the total number of stations while satisfying the restrictions. A simulated annealing-based hyper-heuristic is adapted and applied to the balancing problem of oven manufacturing process with assignments and operational restrictions with multiple objectives. The results show that better solutions can be found in the current line balance level while satisfying more restrictions. It is also observed that line balance can be improved depending on the relaxation of the restrictions.

Date: 2019
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