CONWIP based control of a lamp assembly production line

Journal of Intelligent Manufacturing

Volumn 18, Issue 2, 2007, Pages 261-271

  Ip, W H ^a   Huang, Min ^b,c   Yung, K L ^a   Wang, Dingwei ^b   Wang, Xingwei ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NORTHEASTERN UNIVERSITY   (China)

^c KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Genetic algorithm; Multi loop CONWIP; Production control system; Simulation; Single loop CONWIP

Indexed keywords

GENETIC ALGORITHMS; INDUSTRIAL PLANTS; INVENTORY CONTROL; LOGIC PROGRAMMING; PROBABILITY DISTRIBUTIONS; PRODUCTION ENGINEERING;

MULTI-LOOP CONWIP; PRODUCTION CONTROL SYSTEMS; SINGLE-LOOP CONWIP;

PRODUCTION CONTROL;

EID: 34547567855     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-007-0021-0     Document Type: Article

References (39)

1. Ayhan H., & Wortman M.A. (1999). Approximation for computing the throughput of closed assembly-type queueing networks. European Journal of Operational Research, 112(1): 107-121
2. Berkley B.J. (1992). A review of the kanban production control research literature. Production and Operations Management, 1(3): 393-411
3. Bonvik A.M., Couch C.E., & Gershwin S.B. (1997). Comparison of production-line control mechanisms. International Journal of Production Research, 35: 789-804
4. Bonvik A.M., Dallery Y., & Gershwin S.B. (2000). Approximate analysis of production systems operated by a CONWIP/finite buffer hybrid control policy. International Journal of Production Research, 38: 2845-2869
5. Chang T.M., & Yih Y. (1994). Generic kanban systems for dynamic environments. International Journal of Production Research, 32: 889-902
6. Dallery, Y., & Liberopoulos, G. (1995). A new Kanban-type pull control mechanism for multi-stage manufacturing systems. Proceedings of the 3rd European Control Conference, Rome, September 5-8, 4(2), 3543-3548
7. Di Mascolo M., Frein Y., & Dalley Y. (1996). An analytical method for performance evaluation of kanban controlled production systems. Operations Research, 44: 50-64
8. Duenyas I. (1994). Estimating the throughput of a cyclic assembly system. International Journal of Production Research, 32(6):1403-1419
9. Duenyas I., & Hopp W.J. (1992a). Estimating the throughput of an exponential CONWIP Assembly system. Queueing Systems: Theory and Applications, 14: 135-157
10. Duenyas I., & Hopp W.J. (1992b). CONWIP assembly with deterministic process and random outages. IIE Transactions, 24(3): 97
11. Duenyas I., Hopp W.J., & Spearman M.L. (1993). Characterizing the output process of a CONWIP line with deterministic processing and random outages. Management Science, 39(6): 975-988
12. Duri C., Frein Y., & Lee H.-S. (2000). Performance evaluation and design of a CONWIP system with inspections. International Journal of Production Economics, 64(1): 219-229
13. Ettl, M., & Schwehm, M. (1994). A design methodology for Kanban-controlled production lines using queueing networks and genetic algorithms. Proceedings of tenth international conference on systems engineering, ICSE'94 in Coventry, UK, Coventry University Press, pp. 307-314.
14. Gen M., & Cheng R. (1996). Genetic algorithms and engineering design. New York: John Wiley & Son Press
15. Golany B., Dar-El E. M., & Zeev N. (1999). Controlling shop floor operations in a multi-family, multi-cell manufacturing environment through constant work-in-process. IIE Transactions, 31(8): 771-781
16. Goldberg D.E. (1989). Genetic algorithm in search, optimization & Machine learning. Reading, MA: Addison-Wesley
17. Gstettner S., & Kuhn H. (1996). Analysis of production control systems kanban and CONWIP. International Journal of Production Research, 34: 3253-3273
18. Hall W.R. (1981). Driving the productivity machine: production planning and control in Japan. Falls Church, Virginia: American Production and Inventory Control Society
19. Herer Y.T., & Masin M. (1997). Mathematical programming formulation of CONWIP based production lines; and relationships to MRP. International Journal of Production Research, 35(4): 1067-1076
20. Holland J.H. (1975). Adaptation in natural and artificial systems. Ann Arbor: University of Michigan
21. Hopp W.J., & Roof M.L. (1998). Setting WIP levels with statistical throughput control (STC) in CONWIP production lines. International Journal of Production Research, 36: 867-882
22. Hopp W.J., & Spearman M.L. (1991). Throughput of a constant work in process manufacturing line subject to failures. International Journal of Production Research, 29(3): 635-655
23. Hopp W.J., & Spearman M.L. (1996). Factory physics: Foundations of manufacturing management. Burr Ridge, IL: Irwin
24. Huang C.-C., & Kusiak A. (1996). Overview of Kanban system. International Journal of Computer Integrated Manufacturing, 9: 169-189
25. Huang M., Wang D., & Ip W.H. (1998). Simulation and comparative study of the CONWIP, kanban and MRP production control systems in a cold rolling plant. Production Planning and Control, 9: 803-812
26. Kimura O., & Terada H. (1981). Design and analysis of push system, a method of multi-stage production controls. International Journal of Production Research, 19: 26-49
27. Lee Ch.-E., & Chen Ch.-W. (1997). Dispatching scheme involving move control and weighted due date for wafer foundries. IEEE Transactions on Components, Packaging, and Manufacturing Technology Part C: Manufacturing, 20(4): 268-277
28. Luh P.B., Zhou X., & Tomastik R.N. (2000). Effective method to reduce inventory in job shops. IEEE Transactions on Robotics and Automation, 16(4): 420-424
29. Michalewicz Z. (1996). Genetic algorithms + data structure = evolution programs (thirded). New York: Springer-Verlag
30. Muckstadt J.A., & Tayur S.R. (1995a). Comparison of alternative kanban control mechanisms. I. Background and structural results. IIE Transactions, 27: 140-150
31. Muckstadt J.A., & Tayur S.R. (1995b). Comparison of alternative kanban control mechanisms II Experimental results. IIE Transactions, 27: 151-161
32. Ostermark R. (1999). Solving a nonlinear non-convex trim loss problem with a genetic hybrid algorithm. Computers & Operations Research, 26(6): 623-635
33. Price W., Gravel M., & Nsakanda A.L. (1994). A review of optimization models of kanban-based production systems. European Journal of Operational Research, 75: 1-12
34. Roderick L.M., Toland J., & Rodriguez P. (1994). A simulation studies of CONWIP versus MRP at Westinghouse. Computer Industrial Engineering, 26: 237-242
35. Spearman M.L. (1992). Customer service in pull production systems. Operations Research, 40: 948-958
36. Spearman M.L., Woodruff D.L., & Hopp W.J. (1990). CONWIP: A pull alternative to kanban. International Journal of Production Research, 28: 879-894
37. Spearman M.L., & Zazanis M.A. (1992). Push and pull production systems: Issue and comparison. Operations Research, 40: 521-532
38. Sugimori Y., Kusunoki K., Cho F., & Uchikawa S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. International Journal of Production Research, 15: 553-564
39. Venkatesh K., Zhou M.C., Kaighobadi M., & Caudill R. (1996). A petri net approach to investigating push and pull paradigms in flexible factory automated systems. International Journal of Production Research, 34, 595-620