Determination of buffer sizes for drum-buffer-rope (DBR)-controlled production systems

International Journal of Production Research

Volumn 46, Issue 10, 2008, Pages 2827-2844

  Ye, T ^a   Han, W ^a  

^a JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Assembly buffer; Buffer size; Constraint buffer; Drum buffer rope (DBR)

Indexed keywords

CONSTRAINT THEORY; MATHEMATICAL MODELS; PROCESS DESIGN; PRODUCTION CONTROL; RELIABILITY ANALYSIS;

ASSEMBLY BUFFER; BUFFER SIZE; CONSTRAINT BUFFER; DRUM BUFFER ROPE (DBR);

PRODUCTION ENGINEERING;

EID: 40849098595     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540600922948     Document Type: Article

References (24)

1. Bitran, G.R. and Tirupati, D., Multiproduct queueing networks with deterministic routing: decomposition approach and the notion of interference. Manag. Sci., 1988, 34, 75-100.
2. Chang, C., Brown, L. and Johnson, L., Analysis of buffering techniques in MRP systems with a matrix loading model. IIE Trans., 1983, 15, 305-312.
3. Chase, R. and Aquilano, N., Production and Operations Management: Production and Services, 1995 (Irwin: Homewood, IL).
4. Chu, C.H. and Hayya, J., Buffering decisions under MRP environment: a review. OMEGA, 1988, 16, 325-331.
5. Corbett, T. and Csillag, J.M., Analysis of the effects of seven drum-buffer-rope implementations. Prod. Invent. Manag. J., 2001, Third/Fourth Quarter, 17-23.
6. Faria, J., Manuel, M. and Nunes, E., Optimal design of work-in-process buffers. Int. J. Prod. Econ., 2006, 99, 144-155.
7. Fendick, K.W., Saksena, V.R. and Whitt, W., Dependence in packet queues. IEEE Trans. Comm., 1989, COM-37, 1173-1183.
8. Fendick, K.W., Saksena, V.R. and Whitt, W., Investigating dependence in packet queues with the index of dispersion for work. IEEE Trans. Comm., 1991, COM-39, 1231-1244.
9. Guide, V.D.R., Scheduling using drum-buffer-rope in a reproduction environment. Int. J. Prod. Res., 1996, 34, 1081-1091.
10. Kut, C.S., Optimal buffer allocation strategy for minimizing work-in-process inventory in unpaced production lines. HE Trans., 1997, 29, 81-88.
11. Louw, L. and Page, D.C., Queueing network analysis approach for estimating the sizes of the time buffer in theory of constraints-controlled production system. Int. J. Prod. Res., 2004, 42, 1207-1226.
12. Miltenburg, J., Comparing JIT, MRP and TOC, and embedding TOC into MRP. Int. J. Prod. Res., 1997, 35, 1147-1169.
13. New, C. and Mapes, J., MRP with high uncertain yield losses. J. Oper. Manag., 1984, 4, 315-330.
14. Powell, S.G. and Pyke, D.F., Allocation of buffers to serial production lines with bottlenecks. IIE Trans., 1996, 28, 18-29.
15. Radovilsky, Z.D., A quantitative approach to estimate the size of the time buffer in the theory of constraints. Int. J. Prod. Econ., 1998, 55, 113-119.
16. Rahman, S., Theory of constraints: a review of the philosophy and its applications. Int. J. Oper. & Prod. Manage., 1988, 18, 336-355.
17. Reimer, G., Material requirements planning and theory of constraints: can they coexist? A case study. Prod. Invent. Manag. J., 1991, Fourth Quarter, 48-52.
18. Schmitt, T., Resolving uncertainty in production systems. J. Oper. Manag., 1984, 4, 331-345.
19. Schragenheim, E. and Ronen, B., Drum-buffer-rope shop floor control. Prod. Invent. Manag. J., 1990, Third Quarter, 18-22.
20. Shi, L. and Men, S., Optimal buffer allocation in product line. IIE Trans., 2003, 35, 1-10.
21. Tu, Y.M. and Li, R.K., Constraint time buffer determination model. Int. J. Prod. Res., 1998, 36, 1091-1103.
22. Umble, M., Analyzing production problems using V-A-T analysis. Prod. Invent. Manag. J., 1992, Second Quarter, 55-60.
23. Whitt, W., The queueing network analyzer. The Bell System Technical Journal, 1983, 62, 2779-2815.
24. Yenradee, P., Application of optimized production technology in a capacity constrained flow shop: a case study in a battery factory. Comput. Ind. Eng., 1994, 27, 217-220.