Dynamic Cellular Remanufacturing System (DCRS) Design
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Dynamic Cellular Remanufacturing System (DCRS) Design

Authors: Tariq Aljuneidi, Akif Asil Bulgak

Abstract:

An efficient remanufacturing network lead to an efficient design of sustainable manufacturing enterprise. In remanufacturing network, products are collected from the customer zone, disassembled and remanufactured at a suitable remanufacturing facility. In this respect, another issue to consider is how the returned product to be remanufactured, in other words, what is the best layout for such facility. In order to achieve a sustainable manufacturing system, Cellular Manufacturing System (CMS) designs are highly recommended, CMSs combine high throughput rates of line layouts with the flexibility offered by functional layouts (job shop). Introducing the CMS while designing a remanufacturing network will benefit the utilization of such a network. This paper presents and analyzes a comprehensive mathematical model for the design of Dynamic Cellular Remanufacturing Systems (DCRSs). In this paper, the proposed model is the first one to date that considers CMS and remanufacturing system simultaneously. The proposed DCRS model considers several manufacturing attributes such as multi period production planning, dynamic system reconfiguration, duplicate machines, machine capacity, available time for workers, worker assignments, and machine procurement, where the demand is totally satisfied from a returned product. A numerical example is presented to illustrate the proposed model.

Keywords: Cellular Manufacturing System, Remanufacturing, Mathematical Programming, Sustainability.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1106061

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2137

References:


[1] Ahkioon, S., Bulgak, A.A., Bektas, T., 2009a. Cellular Manufacturing system design with routing flexibility, machine procurement, production planning and dynamics system reconfiguration. International Journal of Production Research, 6, 1573-1600.
[2] Bulmus, C.S., Zhu, X.S., and Teunter, R., 2013. Capacity and production decisions under a remanufacturing strategy. Int. J. Production Economics, 145, 359-370.
[3] Chen, M., and Abrishami, P., 2014. A mathematical model for production planning in hybrid manufacturing-remanufacturing systems. Int. J Adv. Manuf. Technol., 71:1187-1196.
[4] Defersha, F., Chen, M., 2006. A comprehensive mathematical model for the design of cellular manufacturing systems. International Journal of Production Economics. 103,767-783.
[5] Demirel, O.N., and Gokcen, H., 2008. A mixed integer programming model for remanufacturing in reverse logistics environment. Int. J Adv. Manuf. Technol., 39:1197-1206.
[6] Doh, H.H., and Lee, H.D., 2009. Generic production planning model for remanufacturing systems. Proceedings of the Institution of Mechanical Engineers, vol. 224. Part B: Journal of Engineering Manufacture.
[7] Eguia, I., Racero, J., Guerrero, F., Lozano, S., 2013. Cell formation and scheduling of part families for reconfigurable cellular manufacturing systems using Tabu search. The Society for Modeling and Simulation International. 89,9,1056-1072.
[8] Garbie, I.H., 2013. DFSME: design for sustainable manufacturing enterprises (an economic viewpoint). International Journal of Production Research, 51:2, 479-503, DOI:10.1080/00207543.652746.
[9] Javadian, N., Aghajani, A., Rezaeian, J., Sebdani, M., 2011. A multiobjective integrated cellular manufacturing systems design with dynamics system reconfiguration. The International Journal of Advanced Manufacturing Technology, 56:307-317.
[10] Parkinson, J.H., and Thopson, G., 2003. Analysis and taxonomy of remanufacturing industry practice. Journal of Process Mechanical Engineering. vol. 217 no. 3 243-256.
[11] Ahkioon S, Bulgak A.A., Bektas T., 2009b. Integrated manufacturing system design with production planning & dynamic system reconfiguration. European Journal of Operational Research, 192:414- 428.
[12] Mahdavi, I. Aalaei, A. Paydar, M. Solimanpur, M., 2010. Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment. Computers and Mathematics with Applications. 60, 1014- 1025.