AN INTEGER PROGRAMMING MODEL FOR DISASSEMBLY SYSTEM CONFIGURATION

As the product life cycles have continuously decreased, disassembly system design has been regarded to be important for manufacturing enterprises. Effective design of a disassembly system enables the enterprises to recycle the end of life products with low cost and high utilization of labors. This study focuses on the line segmentation problem of disassembly system where the worker assignment and segment determination decisions are made simultaneously. To do so, higher utilization of worker resources is achieved and disassembly operations are carried out by effective worker teams since the worker timetabling and disassembly line segmentation problems taken into consideration concurrently. To represent the problem mathematically, an integer programming model is developed. Besides, two different heuristic procedures, namely SSGWA and CSGWA, are presented to solve the problem in a reasonable amount of time. According to the computational results, SSGWA heuristic superior to CSGWA heuristic consistently because it takes both line segmentation and worker assignment decisions into account simultaneously.

Keywords:

Disassembly system configuration, line segmentation, worker assignment effective worker teams,

PDF

___

[1] Bentaha, M. L., Battaïa, O., Dolgui, A., & Hu, S. J. (2014). Dealing with uncertainty in disassembly line design. CIRP Annals-Manufacturing Technology, 63(1), 21-24.
[2] Bentaha, M. L., Dolgui, A., Battaïa, O., Riggs, R. J., & Hu, J. (2018). Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty. International Journal of Production Research, 1-23.
[3] Desai, A., & Mital, A. (2003). Evaluation of disassemblability to enable design for disassembly in mass production. International Journal of Industrial Ergonomics, 32(4), 265-281.
[4] Edis, E. B., Oguz, C., & Ozkarahan, I. (2013). Parallel machine scheduling with additional resources: Notation, classification, models and solution methods. European Journal of Operational Research, 230(3), 449-463.
[5] Igarashi, K., Yamada, T., Gupta, S. M., Inoue, M., & Itsubo, N. (2016). Disassembly system modeling and design with parts selection for cost, recycling and CO2 saving rates using multi criteria optimization. Journal of Manufacturing Systems, 38, 151-164.
[6] Igarashi, K., Yamada, T., & Inoue, M. (2014). 2-stage optimal design and analysis for disassembly system with environmental and economic parts selection using the recyclability evaluation method. Industrial Engineering and Management Systems, 13(1), 52-66.
[7] Lee, D. H., Kang, J. G., & Xirouchakis, P. (2001). Disassembly planning and scheduling: review and further research. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 215(5), 695-709.
[8] Mascle, C. (2002). A system life-cycle model for disassembly-assembly line design. IFAC Proceedings Volumes, 35(1), 103-108.
[9] Mete, S., Çil, Z. A., Özceylan, E., Ağpak, K., & Battaïa, O. (2018). An optimisation support for the design of hybrid production lines including assembly and disassembly tasks. International Journal of Production Research, 1-15.
[10] Murata, J., & Yura, K. (2013). Optimal Design of multistage parallel-stations systems for disassembly and sorting operations. Journal of Japan Industrial Management Association, 62(2),128-137.
[11] Ohlendorf, M., Herrmann, C., & Hesselbach, J. (2004, February). Simulation-based disassembly systems design. In Environmentally Conscious Manufacturing III (Vol. 5262, pp. 94-103). International Society for Optics and Photonics.
[12] Ozceylan, E., Kalayci, C. B., Güngör, 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, 1-23.
[13] Pintzos, G., Matsas, M., Papakostas, N., & Mourtzis, D. (2016). Disassembly Line Planning Through the Generation of End-of-Life Handling Information from Design Files. Procedia CIRP, 57, 740-745.
[14] Sim, E., Kim, H., Park, C., & Park, J. (2004, October). Performance analysis of alternative designs for a vehicle disassembly system using simulation modeling. In Asian Simulation Conference (pp. 59-67). Springer, Berlin, Heidelberg.
[15] Srivastava, S. K. (2007). Green supply‐chain management: a state‐of‐the‐art literature review. International journal of management reviews, 9(1), 53-80.
[16] Steeneck, D. W., Flittner, J. G., & Sarin, S. C. (2014). Evaluating the role of product design and process time variability in determining a configuration of disassembly stations. FAIM 2014- Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing (pp. 841-848). San Antonio; United States.
[17] Tang, Y., Zhou, M. C., & Caudill, R. (2001). A systematic approach to disassembly line design. In Electronics and the Environment, 2001. Proceedings of the 2001 IEEE International Symposium on (pp. 173-178). IEEE.
[18] Turowski, M., Morgan, M., & Tang, Y. (2005, October). Disassembly line design with uncertainty. In Systems, Man and Cybernetics, 2005 IEEE International Conference on (Vol. 1, pp. 954-959). Ieee.
[19] Xanthopoulos, A., & Iakovou, E. (2009). On the optimal design of the disassembly and recovery processes. Waste Management, 29(5), 1702-1711.
[20] Zhang, C., & Chen, M. (2018). Designing and verifying a disassembly line approach to cope with the upsurge of end-of-life vehicles in China. Waste Management, 76, 697-707.
[21] Zhu, B., & Roy, U. (2015). Ontology-based disassembly information system for enhancing disassembly planning and design. The International Journal of Advanced Manufacturing Technology, 78(9-12), 1595-1608.

Sigma Mühendislik ve Fen Bilimleri Dergisi-Cover

ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

Arşiv