Integrated planning for product module selection and assembly line design/reconfiguration

International Journal of Production Research

Volumn 44, Issue 11, 2006, Pages 2091-2117

  Xu, Z ^a   Liang, M ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Assembly line configuration; Genetic algorithm; Integrated planning; Modelling; Product module selection; Quality loss function

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; GENETIC ALGORITHMS; INTEGRATED CONTROL; PROBLEM SOLVING;

ASSEMBLY LINE CONFIGURATION; INTEGRATED PLANNING; MODELING; PRODUCT MODULE SELECTION; QUALITY LOSS FUNCTION;

PRODUCT DEVELOPMENT;

EID: 33646426131     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540500357146     Document Type: Article

References (27)

1. Erel, E. and Gokcen, H., Shortest-route formulation of mixed-model assembly line-balancing problem. Eur. J. Oper. Res., 1999, 116, 194-204.
2. Fleszar, K. and Hindi, K., An enumerative heuristic and reduction methods for the assembly line-balancing problem. Eur. J. Oper, Res., 2003, 145, 606-620.
3. Fujita, K., Product variety optimization under modular architecture. Comput.-Aided Des., 2002, 34, 953-965.
4. Fujita, K., Sakaguchi, H. and Akagi, S. Product variety development and its optimization under modular architecture and module communalization, in Proceedings of the 1999 ASME Design Engineering Technical Conferences, Las Vegas, NV, USA, 1999, pp. 337-348.
5. Gershenson, J.K. and Prasad, G.J., Modularity in product design for manufacturability. Int. J. Agile Manuf., 1997, 1, 99-110.
6. Gonzalez, J.P. and Otto, K.N., Modular platform-based product family design, in Proceedings of the DETC'00 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Baltimore, MD, USA, 2000, pp. 677-686.
7. Gu, P. and Sosale, S., Product modularization for life cycle engineering. Robot. Comput.-Integr. Manuf., 1999, 15, 387-401.
8. He, D.W. and Kusiak, A., Designing an assembly line for modular products. Comput. Ind. Eng., 1998, 34, 37-52.
9. Holland, J.H., Adaptation in Natural and Artificial Systems. 1975 (University of Michigan Press: Ann Arbor, MI).
10. Karabati, S. and Sayin, S., Assembly line-balancing in a mixed-model sequencing environment with synchronous transfers. Eur. J. Oper. Res., 2003, 149, 417-429.
11. Kim, Y.K., Park, K. and Ko, J., A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling. Comput. Oper. Res., 2003, 30, 1151-1171.
12. Klein, R. and Scholl, A., Maximizing the production rate in simple assembly line-balancing - a branch-and-bound procedure. Eur. J. Oper. Res., 1996, 91, 367-385.
13. Korkmazel, T. and Sedef, M., Bicriteria sequencing methods for the mixed-model assembly line in just-in-time production systems. Eur. J. Oper. Res., 2001, 131, 188-207.
14. Leu, Y.L., Matheson, L.A. and Rees, L.P., Assembly line-balancing using genetic algorithm with heuristic-generated initial populations and multiple evaluation criteria. Dec. Sci., 1994, 4, 581-606.
15. Lit, P.D., Rekeik, B., Pellichero, F., Delchambre, A., Danloy, J., Petit, F. and Leory, A., A new philosophy for the design of a product and its assembly line, in Proceedings of the 1999 IEEE International symposium on Assembly and Task Planning, Porto, Portugal, 1999, pp. 381-386.
16. Man, K.F., Tang, K.S. and Kwong, S., Genetic Algorithm, 1999 (Springer: London).
17. McAlinden, S.P., Smith, B.C. and Swiecki, B.F., The Future of Modular Automotive Systems: Where Are the Economic Efficiencies in the Modular-Assembly Concept. Report, 1999 (University of Michigan Transportation Research Institute: Ann Arbor, MI, USA).
18. Pyo, S.T., Implementation and line-balancing of assembly line of ABS motor for improvement of assembly productivity. Thesis, Pusan National University, 2000.
19. Rai, R. and Allada, V., Modular product family design: agent-based pareto-optimization and quality loss function-based post-optimal analysis. Int. J. Prod. Res., 2003, 41, 4075-4098.
20. Sawik, T., Monolithic vs. hierarchical balancing and scheduling of a flexible assembly line. Eur. J. Oper. Res., 2002, 143, 115-124.
21. Scholl, A. and Klein, R., Balancing assembly lines effectively - a computational comparison. Eur. J. Oper. Res., 1999, 114, 50-58.
22. Taguchi, G., Introduction to Quality Engineering, 1986 (Asian Productivity Organization: Dearborn).
23. Ugurdag, H.F., Rachamadugu, R. and Papachristou, C.A., Designing paced assembly lines with fixed number of stations. Eur. J. Oper. Res., 1997, 102, 488-501.
24. Ulrich, K. and Tung, K., Fundamentals of product modularity, in Issues in Design Manufacture/Integration, edited by A. Sharon, R. Behun, F. Prinz and L. Young, pp. 73-79, 1991 (ASME: New York, NY, USA).
25. Xu, Z., A cost model and genetic algorithm for the integration of module instance selection and assembly line design. MSc thesis. Department of Mechanical Engineering, University of Ottawa, 2004.
26. Yigit, A.S. and Allahverdi, A., Optimal selection of module instances for modular products in reconfigurable manufacturing system. Int. J. Prod. Res., 2003, 41, 4063-4074.
27. Zolfaghari, S. and Liang, M., A new genetic algorithm for the machine/part grouping problem involving processing times and lot sizes, Int. J. Comput. Ind. Eng., 2003, 45, 713-731.