Control point policy: Part 1 - Efficiency within make-to-order environments

International Journal of Production Research

Volumn 46, Issue 11, 2008, Pages 2927-2943

  Stockton, David John ^a   Ardon Finch, Jason ^a   Khalil, Riham ^a  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

Blocking; Buffers; Control Point Policy; CONWIP; Dispatching rules; Fixed buffer; Inter arrival time; Kanbans; Lead time; Material flow; Performance measures; Scheduling; Simulation; Takt time

Indexed keywords

COMPUTER SIMULATION; CUSTOMER SATISFACTION; PRODUCT DEVELOPMENT; PUBLIC POLICY;

CONTROL POINT POLICY (CPP); DISPATCHING RULES; LEAD TIME; PERFORMANCE MEASURES; TAKT TIME;

PRODUCTION ENGINEERING;

EID: 41849145312     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540600904920     Document Type: Article

References (18)

1. Berkeley, B.J., A review of the kanban production control research literature. Prod. Oper. Manage., 1992, 1(4), 393-411.
2. Bonvik, A.M., Couch, C.E. and Gershwin, S.B., A comparison of production-line control mechanisms. Int. J. Prod. Res., 1997, 35(3), 789-804.
3. Buzacott, J.A. and Hanifin, L. E., Models of automatic transfer lines with inventory banks - a review and comparison. AIIE Trans., 1978, 10, 197-207.
4. Buzacott, J.A. and Shanthikumar, J.G., Stochastic Models of Manufacturing Systems, 1993 (Prentice Hall: Englewood Cliffs, NJ).
5. Clark, A.J. and Scarf, H., Optimal policies for the multi-echelon inventory problem. Manage. Sci., 1960, 6(4), 475-490.
6. Gershwin, S.B., Manufacturing Systems Engineering, 1994 (Prentice Hall: Englewood Cliffs, NJ).
7. Gershwin, S.B., System analysis, design and control: Unification and decomposition, in Second Aegean International Conference on Modelling of Manufacturing Systems, 1999, Tinos Island, Greece.
8. Gershwin, S.B., Design and operation of manufacturing systems - The control-point policy. HE Trans., 2000, 32(2), 891-906.
9. Gzouli, O., Comparison of Scheduling Policies by Simulation, MSc thesis, Massachusetts Institute of Technology, 2000.
10. Kimball, G., General principles of inventory control. J. Manuf. Oper. Manage., 1988, 1(1), 119-130.
11. Mitra, D. and Mitrani, I., Analysis of a kanban discipline for cell co-ordination in production lines. Part I. Manage. Sci., 1990, 36(12), 1548-1566.
12. Monden, Y., Toyota Production System: An Integrated Approach to Just-In-Time, 2nd ed., 1993 (Industrial Engineering and Management Press: Norcross, GA).
13. Ohno, T., Toyota Production System, 1988 (Productivity Press: Cambridge, MA).
14. Schonberger, R.J. and Knod, E.M., Operations Management: Continuous Improvement, 5th ed., 1994 (Irwin Inc.: Chicago, IL).
15. Spearman, M.L., Woodruff, D.L. and Hopp, W.J., CONWIP: a pull alternative to kanban, Int. J. Prod. Res., 1990, 18(2), 245-257.
16. Tabe, T., Murumatsu, R. and Tanaka, Y., Analysis of production ordering quantities and inventory variations in a multi-stage production ordering system. Int. J. Prod. Res., 1980, 18(2), 245-257.
17. Wein, L.M., Scheduling semiconductor wafer fabrication. IEEE Trans. Semicond. Manuf., 1988, 1(3), 115-130.
18. Yong, M.S., Simulation of real-time scheduling policies in multi-product, make-to-order semiconductor fabrication facilities, MSc thesis, Massachusetts Institute of Technology, 2001.