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1. Anderson, D. R., Sweeney, D. J. and Williams, T.A (2000), Introduction to Management Science 9/e, South-Western, Canada 2.Balakrishman, R., Linsmeier, TJ., Venkatanchalam, M(1996), Financial benefits from JIT adoption : effects of customer concentration and cost structure, The Accounting Review 71(2): pp.183-205 3. Chen, Y.M. and Jan, Y.-D. (2000), Enabling allied concurrent engineering through distributed engineering information management, Robotics and Computer Integrated Manufacturing 16: pp. 9-27 4. Chen, R.S., Lu, K.Y. and Yu, S.C. (2002), A hybrid genetic algorithm approach on multi-objective of assembly planning problem, Engineering Applications of Artificial Intelligence 15: pp.447-457 5. Droge, Cij and Germain, R,(1998), The just-in-time inventory effect: does it hold under different contextual, environmental and organization condition, Journal of Business Logistics 19(2): pp.53-71 6. Donnelly, Gibson and Ivanceuich (1998), Fundamentals of Management 10/e, McGraw Hill Company,N.Y. 7. Erel and Sarin(1998), A survey of the assembly line balancing problems, Prod Plann Contr 9(5): pp.414-434 8. Fullerton, R.R. & McWatters, C.S. (2001), The production performance benefits from JIT implementation, Journal of Operations Management 19: pp.81-96 9. Fullerton, R. R., McWatters, C. S. and Fawson, C. (2003), An examination of the relationships between JIT and financial performance, Journal of Operation Management 21: pp.383-404 10. Fleszar, F. and Hindi, K. S. (2003), An enumerative heuristic and reduction methods for the assembly line balancing problem, European Journal of Operational Research 145: pp.606-620 11. Gokcen, H. and Erel, E. (1997), A goal programming approach to mixed-model assembly line balancing problem, International Journal Production Economics 48: pp.177-185 12. Herder, P. M. & Weijnen, M. P.C. (2000), A concurrent engineering approach to chemical process design, International Journal Production Economocs 64: pp.311-318 13. Ji, P.,Sze,M.T.,& Lee,W.B.(2001), A genetic algorithm of determining cycle time for printer circuit board assembly lines, European Journal of Operational Research 128: pp.175-184 14. Klein, R. & Scholl, A. (1996), Maximizing the production rate in simple assembly line balancing – A branch and bound proceduce, European Journal of Operational Rescarch 91: pp.367-385 15. Kim Y. K., Kim Y.J., Kim Y. (1996), Genetic algorithms for assembly line balancing with various objectives, Computers International Engineering Vol.30. No.3: pp.397-409 16. Keytack, H. & Oh,Ph.D.(1997), Expert line balancing system (ELBS), Computers International Engineering, Vol.33, Nos1-2 : pp.303-306 17. Kim, Y.J.,Kim, Y. K., & Cho, Y.(1998), A heuristic-based genetic algorithm for workload smoothing in assembly lines, Computers and Operational Research, 128 : pp. 175-184 18. Lettice, F., Smart, P. & Evans, S. (1995), A workbook-based methodology for implementing concurrent engineering, International Journal of industrial Ergonomics 16 : pp.339-351 19. Lee, T. O., Kim, Y. & Kim, Y. K. (2001), Two-sided assembly line balancing to maximize work relatedness and slackness, Computers & Industrial Engineering 40: pp.273-292 20. Lin S.B., Ong H.L.& Huang H.C. (2003), Two Bi-directional heuristics for the assembly line type Ⅱ problem. International Journal Adv Manuf Technol 22(9-10): pp.656-661 21. Liu, S.B., Ong, H.L., Huang, H.C. (2005), A bidirectional heuristic for stochastic assembly line balancing typeⅡ problem, International Journal Adv Manuf Technol 25: pp.71-77 22. Prasad, B. (1996), Concurrent Engineering Fundamentals, Prentice-Hall Englewood Cliffs, N.J. 23. Rachamadugu, R. and Talbot, B. (1991), Improving the equality of workload assignments in assembly lines, International Journal Production Res. 29: pp.619-633 24. Salvegon,M.E (1995), The assembly line balancing problem, Journal International Engineering, 6: pp.18-25 25. Sure, G.A. (1998),Designing parallel assembly lines, Computers International Engineering Vol.35 Nos3-4 pp.467-470 26. Scholl, A. and Klein, R. (1999), Balancing assembly lines effectively-A computational comparison, European Journal of Operational Research 114: pp.50-58 27. Sarin, S. C., Erel, E., Dar-EI, E. M. (1999), A methodology for soving single-model stochastic assembly line balancing problem, Omega, International Journal of Management Science 27: pp.525-535 28. Stevenson, W. J. (1999), Production/Operations Management 6/e, McGraw Hill Company, N.Y. 29. Simaria, A.S.,& Vilarinho, P.M.(2001), The simple assembly line balancing problem with parallel b workstations-a simulated annealing approach, International Journal of Industrial Engineering8(3): pp.230-240 30. Sawik, T. (2002), Monolithic vs. hierarchical balancing and scheduling of a flexible assembly line, European Journal of Operational Research 143: pp.115-124 31. Starbek, M. & Grum, J. (2002), Concurrent engineering in small companies, International Journal of Machine Tools & Manufacture 42: pp.417-426 32. Simaria, A. S. and Vilarinho, P. M. (2004), A genetic algorithm based approach to the mixed-model assembly line balancing problem of type Ⅱ, Computers & Industrial Engineering 47 : pp.391-407 33. Malakooti, B. (1990), A multiple criteria decision making approach for the assembly line balancing problem, International Journal Production Research 29: pp.1979-2001 34. Young, A. R. & Allen, N. (1996), Concurrent Engineering and Product Specification, Journal of Materials Processing Technology 61: pp.181-186
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