Dynamic Cellular Remanufacturing System (DCRS) Design
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.
[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.
[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.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:69972", author = "Tariq Aljuneidi and Akif Asil Bulgak", title = "Dynamic Cellular Remanufacturing System (DCRS) Design", 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.", volume = "9", number = "5", pages = "859-5", }