Comparison of push and pull control strategies for supply network management in a make-to-stock environment

International Journal of Production Research

Volumn 42, Issue 20, 2004, Pages 4401-4419

  Masuchun, W ^a   Davis, S ^a   Patterson, J W ^a  

^a CLEMSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST BENEFIT ANALYSIS; CUSTOMER SATISFACTION; FORECASTING; INDUSTRIAL ECONOMICS; INVENTORY CONTROL; PROCESS CONTROL; STRATEGIC PLANNING; THROUGHPUT; TRANSPORTATION;

CUSTOMER SERVICES; INVENTORY BUFFER; OPERATIONAL PLANNING AND CONTROL (OPC); SUPPLY NETWORK MANAGEMENT;

INDUSTRIAL MANAGEMENT;

EID: 13644284219     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540410001716543     Document Type: Article

References (27)

1. BONNEY, M. C., ZHANG, Z., HEAD, M. A., TIEN, C. C. and BARSON, R. J., 1999, Are push and pull systems really so different? International Journal of Production Economics, 59, 53-64.
2. GROSFELD-NIR, A., MAGAZINE, M. and VENBERKEL, A., 2000, Push and pull strategies for controlling multistage production systems. International Journal of Production Research, 38, 2361-2375.
3. KADIPASAOGLU, S. N. and SRIDHARAN, V., 1995, Alternative approaches for reducing schedule instability in multistage manufacturing under demand uncertainty. Journal of Operations Management, 13, 193-211.
4. KIM, K., CHHAJED, D. and PALEKAR, U. S., 2002, A comparative study of the performance of push and pull systems in the presence of emergency orders. International Journal of Production Research, 40, 1627-1646.
5. KLEN, A. A. P., RABELO, R. J., FERREIRA, A. C. and SPINOSA, L. M., 2001, Managing distributed business processes in the virtual enterprise. Journal of Intelligent Manufacturing, 12, 185-197.
6. KRAJEWSKI, L. J., KING, B. E., RITZMAN, L. P. and WONG, D. S., 1987, Kanban, MRP, and shaping the manufacturing environment. Management Science, 33, 39-57.
7. LAMBERT, D. M. and COOPER, M. C., 2000, Issues in supply chain management. Industrial Marketing Management, 29, 65-83.
8. LEE, H. L. and BILLINGTON, C., 1992, Managing supply chain inventory: pitfalls and opportunities. Sloan Management Review, 33, 65-73.
9. LEE, H. L. and BILLINGTON, C., 1993, Material management in decentralized supply chain. Operations Research, 41, 835-847.
10. LEE, L. C., 1989, A comparative study of the push and pull production systems. International Journal of Operations and Production Management, 9, 5-18.
11. LIN, F. R. and SHAW, M. J., 1998, Reengineering the order fulfilment process in supply chain networks. Journal of Flexible Manufacturing Systems, 10, 197-230.
12. MABERT, V. A. and VENKATARAMANAN, M. A., 1998, Special research focus on supply chain linkages: challenges for design and management in the 21st century. Decision Sciences, 29, 537-552.
13. PERSENTILI, E. and ALPTEKIN, S. E., 2000, Product flexibility in selecting manufacturing planning and control strategy. International Journal of Production Research, 38, 2011-2021.
14. REES, L. P., HUANG, P. Y. and TAYLOR, B. W., 1989, A comparative analysis of an MRP lot-for-lot system and a Kanban system for a multistage production operation. International Journal of Production Research, 27, 1427-1443.
15. RITZMAN, L. P. and KING, B. E., 1993, The relative significance of forecast errors in multistage manufacturing. Journal of Operations Management, 11, 51-65.
16. RUPP, T. M. and RISTIC, M., 2000, Fine planning for supply chain in semiconductor manufacture. Journal of Materials Processing Technology, 107, 390-397.
17. SADEH, N. M., HILDUM, D. W., KJENSTAD, D. and TSENG, A., 2001, MASCOT: an agent-based architecture for dynamic supply chain creation and coordination in the internet economy. Production Planning and Control, 12, 212-223.
18. SARKER, B. R., 1989, Simulating a just-in-time production system. Computers and Industrial Engineering, 16, 127-137.
19. SARKER, B. R. and FITZSIMMONS, J. A., 1989, The performance of push and pull systems: a simulation and comparative study. International Journal of Production Research, 27, 1715-1731.
20. SPEARMAN, M. L., WOODRUFF, D. L. and HOPP, W. J., 1990, CONWIP: a pull alternative to Kanban. International Journal of Production Research, 28, 879-894.
21. SPEARMAN, M. L. and ZAZANIS, M. A., 1988, Push and Pull Production Systems: Issues and Comparisons. Technical Report 88-24 (Evanston: Department of Industrial Engineering and Management Sciences, Northwestern University).
22. SPEARMAN, M. L. and ZAZANIS, M. A., 1992, Push and pull production systems: issues and comparisons. Operations Research, 40, 521-532.
23. SRIDHARAN, V. and LAFORGE, R. L., 1989, The impact of safety stock on schedule instability, cost, and service. Journal of Operations Management, 8, 327-347.
24. TAYLOR, L. J., 2000, A simulation study of work-in-process inventory drive systems and their effect on operational measurements. British Journal of Management, 11, 47-59.
25. VENKATESH, K., ZHOU, M. C., KAIGHOBADI, M. and 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.
26. WAINWRIGHT, C. E. R., HARRISON, D. K. and LEONARD, R., 1993, Production control strategies within multi-product batch manufacturing companies. International Journal of Production Research, 31, 365-380.
27. ZHAO, X. and LEE, T. S., 1993, Freezing the master production schedule for material requirements planning systems under demand uncertainty. Journal of Operations Management, 11, 185-205.