Improving the performance of job shop manufacturing with demand-pull production control by reducing set-up/processing time variability

International Journal of Production Economics

Volumn 84, Issue 3, 2003, Pages 255-270

  Li, Jing Wen ^a  

^a SHU TE UNIVERSITY   (Taiwan)

Author keywords

Job shop; Just in Time; Kanban; Simulation modelling

Indexed keywords

COMPUTER SIMULATION; JUST IN TIME PRODUCTION; PRODUCTIVITY;

SIMULATION MODELLING;

PRODUCTION CONTROL;

EID: 0037501430     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-5273(02)00447-4     Document Type: Article

References (22)

1. Agarwal A., Huq F., Sarkis J. Performance of manufacturing cells for group technology. A parametric analysis Kamrani A.K.et al. Planning, Design, and Analysis of Cellular Manufacturing Systems. 1995;299-349 Elsevier Science, Amsterdam.
2. Burbidge J.L. Production Flow Analysis for Planning Group Technology. 1989;Clarendon Press, Oxford.
3. Chaturvedi M., Golhar D.Y. Simulation modelling and analysis of a JIT production system. Production Planning and Control. 3(1):1992;81-92.
4. Flynn B.B. Repetitive lots. The use of a sequence-dependent set-up time scheduling procedure in group technology and traditional shops Journal of Operations Management. 7(1&2):1987;203-216.
5. Flynn B.B., Jacobs F.R. An experimental comparison of cellular (group technology) layout with process layout. Decision Sciences. 18(4):1987;562-581.
6. Gravel M., Price W. Using the Kanban in a job shop environment. International Journal of Production Research. 26(6):1988;1105-1118.
7. Huang P.Y., Rees L.P., Taylor III B.W. A simulation analysis of the Japanese just-in-time technique (with Kanbans) for a multiline, multistage production system. Decision Sciences. 14:1983;326-344.
8. Kelleher, J.P., 1986. JIT application in the job shop environment. APICS 29th Annual International Conference Proceedings, October 20-24, St. Louis, MO, pp. 348-351.
9. Kimura O., Terada H. Design and analysis of pull system, a method of multi-stage production control. International Journal of Production Research. 19(3):1981;241-253.
10. Law A.M., Kelton W.D. Simulation Modeling and Analysis. 2nd Edition:1991;McGraw-Hill, New York.
11. Lee C.-Y., Lin C.-S., Uzsoy R., Wong C.-C. Implementation of a demand-pull system in a job shop environment. International Journal of Production Research. 32(12):1994;2915-2927.
12. Li, J.-W., 1999. A simulation study of the effects of applying JIT manufacturing techniques in a job shop environment with Kanban-based production control. Unpublished PhD Thesis, Institute of Technology and Engineering, Massey University, Palmerston North, New Zealand.
13. Mahmoodi F., Dooley K.J., Starr P.J. An investigation of dynamic group scheduling heuristics in a job shop manufacturing cell. International Journal of Production Research. 29(9):1990;1695-1711.
14. Monden Y. Toyota Production System. 1983;Industrial Engineering and Management Press, Atlanta.
15. Muther R. Systematic Layout Planning. 1973;Cahners Books, Boston.
16. Philipoom P.R., Rees L.P., Taylor III B.W., Huang P.Y. An investigation of the factors influencing the number of Kanbans required in the implementation of the JIT technique with Kanbans. International Journal of Production Research. 25(3):1987;457-472.
17. Sandras, B., 1985. Job shop JIT. APICS 28th Annual International Conference Proceedings, October 21-25, Toronto, ON, pp. 448-452.
18. Stockton D.J., Lindley R.J. Implementing Kanbans within high variety/low volume manufacturing environments. International Journal of Operations and Production Management. 15(7):1995;47-59.
19. Vakharia A.J., Wemmerlöv U. Designing a cellular manufacturing system. A material flow approach based on operation sequences IIE Transactions. 22(1):1990;84-97.
20. Vakharia A.J., Selim H.M. Group technology. Dorf R.C., Kusiak A. Handbook of Design, Manufacturing and Automation. 1994;435-460 Wiley, New York.
21. Villeda R., Dudek R., Smith M.L. Increasing the production rate of a just-in-time production system with variable operation times. International Journal of Production Research. 26(11):1988;1749-1768.
22. Yavuz I.H., Şatir A. A Kanban-based simulation study of a mixed model just-in-time manufacturing line. International Journal of Production Research. 33(4):1995;1027-1048.