An Assembly Line Balancing Application on Oven Production Line with Hyper-Heuristics
| Autor: | Gökhan Seçme, Lale Özbakır |
|---|---|
| Přispěvatelé: | Nevşehir Hacı Bektaş Veli Üniversitesi/iktisadi ve idari bilimler fakültesi/işletme bölümü/üretim yönetimi ve pazarlama anabilim dalı |
| Rok vydání: | 2019 |
| Předmět: |
Production line
Mathematical optimization 021103 operations research Information Systems and Management Factor cost Computer Networks and Communications Computer science 0211 other engineering and technologies Process (computing) 02 engineering and technology Hyper-heuristic approach Computer Science Applications Management Information Systems Cable gland Computational Theory and Mathematics Simulated annealing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Relaxation (approximation) Line (text file) Heuristics Assembly line balancing Information Systems |
| Zdroj: | International Journal of Operations Research and Information Systems. 10:44-58 |
| ISSN: | 1947-9336 1947-9328 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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