Research Article
Year 2021,
Volume: 29 Issue: 2, 182 - 188, 31.08.2021
Abstract
Üç boyutlu hücre oluşturma problemi, üretim hücrelerinin parça, makine ve işçileri birlikte ele alarak oluşturulmasıdır. Bu problemin temel amaçları, hücre dışı ve kullanılmayan eleman sayılarının enküçüklenmesidir. Bu konuda literatürde yer alan çalışmaların önemli bir bölümünde bu iki amacın toplandığı ve problemin tek amaçlı olarak ele alındığı görülmektedir. Bu çalışmada, üç boyutlu hücre oluşturma problemi çok amaçlı olarak ele alınmıştır. Amaçların birleştirilmesinde genişletilmiş -kısıt yöntemi kullanılmıştır. Elde edilen çözümler, literatürdeki sonuçlarla karşılaştırılmış ve yeni baskın çözümlere ulaşılmıştır.
Keywords
Üç boyutlu hücre oluşturma problemi Çok amaçlı programlama Genişletilmiş epsilon kısıt yöntemi
References
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- Min, H., & Shin, D. (1993). Simultaneous formation of machine and human cells in group technology: A multiple objective approach, International Journal of Production Research, 31(1), 2307–2318.
Year 2021,
Volume: 29 Issue: 2, 182 - 188, 31.08.2021
Abstract
References
- Aalaei, A., Shavazipour, B. (2013). The Tchebycheff Norm for Ranking DMUs in Cellular Manufacturing Systems with Assignment Worker, International Journal of Applied Operational Research, 3 (3), 41-57.
- Bagheri, F., Kermanshahi, M., Safaei, A. S., Paydar, M.M. (2019). Robust Design of Dynamic Cell Formation Problem Considering the Workers Interest, IJE TRANSACTIONS C: Aspects, 32(12), 1790-1797.
- Bootaki, B., Mahdavi, I., Paydar, M. M. (2014). A hybrid GA-AUGMECON method to solve a cubic cell formation problem considering different worker skills, Computers & Industrial Engineering, 75, 31–40.
- Bootaki, B., Mahdavi, I., Paydar, M.M. (2016). New criteria for configuration of cellular manufacturing considering product mix variation, Computers & Industrial Engineering, 98, 413–426.
- Bouaziz, H., Berghida, M., Lemouari, A. (2020). Solving the generalized cubic cell formation problem using discrete flower pollination algorithm, Expert Systems with Applications, 150, 113345.
- Fahmy, S.A. (2019). MILP model and a genetic algorithm for the integrated cell formation, layout and worker assignment problem, 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies, 117-121.
- Feng, H., Da, W., Xi, L., Pan, E., Xia, T. (2017). Solving the integrated cell formation and worker assignment problem using particle swarm optimization and linear programming, Computers & Industrial Engineering, 110, 126–137.
- Gökdaş, H., Özçelik, F. (2020), Kübik hücre oluşturma problemi için arı algoritması, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 26(4), 812-822.
- Mahdavi, I., Aalaei, A., Paydar, M.M., Solimanpur, M. (2012). A new mathematical model for integrating all incidence matrices in multi-dimensional cellular manufacturing system, Journal of Manufacturing Systems, 31, 214– 223.
- Mavrotas G. (2009). Effective implementation of the -constraint method in Multi-Objective Mathematical Programming problems, Applied Mathematics and Computation, 213, 455–465.
- Mehdizadeh, E., Niaki, S.V.D., Rahimi, V. (2016). A vibration damping optimization algorithm for solving a new multi-objective dynamic cell formation problem with workers training, Computers & Industrial Engineering, 101, 35–52.
- Min, H., & Shin, D. (1993). Simultaneous formation of machine and human cells in group technology: A multiple objective approach, International Journal of Production Research, 31(1), 2307–2318.
There are 12 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Industrial Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | August 31, 2021 |
| Acceptance Date | May 29, 2021 |
| Published in Issue | Year 2021 Volume: 29 Issue: 2 |
