Assist. Prof., Department of Business Administration, Faculty of Economics and Administrative Sciences Eskisehir Osmangazi University, Eskişehir, Turkiye, nurcanatikdeniz@gmail.com
Assoc. Prof., Department of Industrial Engineering, Faculty of Engineering and Architecture Eskisehir Osmangazi University, Eskişehir, Turkiye, fdurmaz@ogu.edu.tr
Disassembly is a crucial subject in view of the fact that it has a pivotal role in reverse supply chains. It will be possible to make effective disassembly operations with disassembly line balancing. In this study, ELECTRE is used for the first time in the literature to determine the assignment priorities of the tasks to work stations. Two algorithms are also proposed to improve the initial assignments. The first improvement algorithm aims to minimize the workstation number if it is possible. On the other hand, the aim of the second improvement is to make a better balance with interchanging the tasks between workstations. The result is compared with the results in the literature. A novel comparison criteria is also proposed called Deviation Mean (DM) in this study.
Demontaj Hattı Dengeleme Problemi için ELECTRE'ye Dayalı Bir Çözüm Yaklaşımı Önerisi
Öz
Demontaj, tersine tedarik zincirlerindeki kilit rolü göz önüne alındığında önem arz eden bir konudur. Demontaj işleminin etkin yapılması ise demontaj hatlarının dengelenmesi ile mümkün olabilecektir. Bu çalışmada demontaj görevlerinin iş istasyonlarına atanma önceliklerinin belirlenmesi için ELECTRE yöntemi ilk kez kullanılmıştır. Bu önceliklerin kullanılmasıyla elde edilen atamaların iyileştirilmesi için iki algoritma önerilmiştir. İlk iyileştirme algoritması mümkün ise istasyon sayısını en küçüklemeyi hedeflerken, ikinci algoritma da görevlerin atandığı istasyonları değiştirerek daha iyi bir dengeleme yapmayı hedeflemektedir. Elde edilen çözüm literatürde TOPSIS, PROMETHEE ve çoklu gruplama hiyerarşisi ile elde edilen sonuçlarla karşılaştırılmıştır. Bu çalışma kapsamında ayrıca özgün bir karşılaştırma ölçütü olarak Deviation Mean (DM) önerilmiştir.
Agrawal, S., Tiwari, M.K., (2008). A colloborative ant colony algorithm to stochastic mixed model U-shaped disassembly line balancing and sequencing problem. Int. J. Prod. Res. 46 (6), 1405-1429.
Avikal, S., Jain, R., & Mishra, P. K. (2014b). A Kano model, AHP and M-TOPSIS method-based technique for disassembly line balancing under fuzzy environment. Applied Soft Computing, 25, 519-529
Avikal, S., Mishra, P. K., & Jain, R. (2014a). A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems. International Journal of Production Research, 52(5), 1306-1317
Bentaha, M.L., Battaia, O., Dolgui, A., (2014). A sample average approximation method for disassembly line balancing problem under uncertainty. Comput. Oper. Res. 51, 111-122.
Bezdrob M., Bićo-Čar, M., & Pašić F. (2011). Managerial Decision Making Tools – ELECTRE Methods Brief Overview of Methods with Practical Examples. Sarajevo Business and Economics Review, 31.
Büyüközkan G., Çifçi G. & Güleryüz S. (2011). Strategic Analysis of Healthcare Service Quality Using Fuzzy AHP Methodology. Expert Systems with Applications, 38, 9407–9424
Deniz N., Ozcelik F. (2018) Determining Task Assignment Priorities For Disassembly Line Balancing Problem with ELECTRE. 16th International Supply Chain Management Congress, October 18-20, Denizli, Turkey.
Deniz N., Ozcelik F. (2019). An Extended Review on Disassembly Line Balancing with Bibliometric & Social Network and Future Study Realization Analysis. Journal of Cleaner Production, 225, 697-715.
Deniz, N. (2016). Sağlık Sektöründe Hizmet Kalite Algısının Ölçümüne Yönelik Ölçek Geliştirme Çalışması. Basılmamış Doktora Tezi, Eskisehir Osmangazi Üniversitesi, Eskişehir, Turkey.
Ding, L. P., Feng, Y-X., & Tan, J. R. (2010). A new multi-objective ant colony algorithm for solving the disassembly line balancing problem. International Journal of Advanced Manufacturing Technology, 48(5-8), 761-771
Esmaeilian, B., Behdad, S., & Wang, B. (2016). The evolution and future of manufacturing: A review. Journal of Manufacturing Systems 39, 79–100
Figueira, J.R., Greco, S., Roy, B., & Slowinski, R. (2013). An overview of ELECTRE methods and their recent extensions. Journal of Multi-Criteria Decision Analysis, 20(1–2), 61–85
Galo N. R., Del Rosso Calache L.D., & Carpinetti L.C. R. (2018). A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI. International Journal of Production Economics, 202, 182–196
Govindan, K., & Jepsen, M. B. (2016). ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250, 1–29
Govindan, K., Kadzi ´nski M., Ehling R., & Miebs G. (2018). Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA. Omega, 1–15.
Gülmez, M. (2005). Sağlık Hizmetlerinde Memnuniyet Ölçümü ve Cumhuriyet Üniversitesi Araştırma Hastanesi’nde Ayakta Tedavi Gören Hastalara Yönelik Bir Uygulama. C.Ü. İktisadi ve İdari Bilimler Dergisi, 6(2)
Güngor, A., & Gupta, S. M. (2001). A solution approach to the disassembly line balancing problem in the presence of task failures. International Journal of Production Research, 39 (7), 1427-1467
Ilgın, M. A. (2010). Kanban-controlled disassembly line with sensor embedded products. Doctor of philosophy, Northeastern University, Boston, Massachusetts.
Ilgin M. A. (2018) A DEMATEL-Based Disassembly Line Balancing Heuristic. Journal of Manufacturing Science Engineering, 141 (2).
Kalayci, C. B., & Gupta, S. M. (2013). A particle swarm optimization algorithm with neighborhood-based mutation for sequence-dependent disassembly line balancing problem. International Journal of Advanced Manufacturing Technology, 69(1-4), 197-209
Kazançoğlu Y., Öztürkoğlu, Y. (2018) Integrated framework of disassembly line balancing with Green and business objectives using a mixed MCDM, Journal of Cleaner Production, 191, 179-191.
Koc, A., Sabuncuoglu, I., & Erel, E., (2009). Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph. IIE Transactions, 41(10), 866-881
Kulkarni, H.M., (2010). Reinforcement Learning Approach for Disassembly. Master of Science thesis. Northeastern University, Boston, Massachusetts.
McGovern, S. M., & Gupta, S. M. (2007). A balancing method and genetic algorithm for disassembly line balancing. European Journal of Operational Research, 179(3), 692-708
McGovern, S.M. & Gupta S. M. (2003). 2-opt heuristic for the disassembly line balancing problem. in Proceedings of the SPIE International conference on Environmentally Conscious Manufacturing III, (pp. 71-84). Providence, Rhode Island.
Özceylan, E., & Paksoy, T. (2013). Reverse supply chain optimization with disassembly line balancing. International Journal of Production Research, 51(20), 5985-6001.
Özceylan, E., Kalaycı, C. B., Güngor, A., & Gupta, S. M. (2018). Disassembly line balancing problem: a review of the state of the art and future directions. International Journal of Production Research
Prakash, & Twari, M. K. (2006). Solving a dissassembly line balancing problem with task failure using a psycho-clonal algorithm. ASME International Design Engineering Technical Conference/Computers and Information in Engineering Conference, Long Beach, CA
Ren, Y., Zhang, C., Zhao, F., Tian, G., Lin, W., Meng, L., & Li, H. (2018). Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-optimal algorithm. Journal of Cleaner Production, 174, 1475-1486.
Rouyendegh, B. D. (Erdebilli B.) (2018). The Intuitionistic Fuzzy ELECTRE model. International Journal of Management Science and Engineering Management, 13(2), 139–145
Supraja S., & Kousalya, P. (2016). ELECTRE Method for the Selection of Best Computer System. Indian Journal of Science and Technology, 9(39)
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
scan QR code to access this article from your mobile device
Contact Us
Faculty of Transportation and Logistics, Istanbul University Beyazit Campus 34452 Fatih/Istanbul/TURKEY
alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.