Comparing dynamic risk-based scheduling methods with MRP via simulation

International Journal of Production Research

Volumn 50, Issue 4, 2012, Pages 921-937

  Sun, Li ^a   Heragu, Sunderesh S ^a   Chen, Lijian ^a   Spearman, Mark L ^b  

^a University of Louisville   (United States)

^b Factory Physics Inc   (United States)

Author keywords

MRP; production planning

Indexed keywords

CHANGING ENVIRONMENT; DEMAND FORECAST; DEMAND UNCERTAINTY; FACTORY PHYSICS; FILL RATE; INVENTORY LEVELS; LOT SIZE; MATERIAL REQUIREMENTS PLANNING; MRP; MULTIMACHINE SYSTEMS; PERFORMANCE MEASURE; PLANNING TOOLS; PRODUCTION PLANNING; RISK-BASED; SCHEDULING METHODS; SCHEDULING SYSTEMS; WORK IN PROCESS;

PRODUCTION CONTROL; SCHEDULING;

OPTICAL VARIABLES MEASUREMENT;

EID: 84860489072     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.556152     Document Type: Article

References (26)

1. Benton, W. and Shin, H., 1998. Manufacturing planning and control: The evolution of MRP and JIT integration. European Journal of Operational Research, 110 (3), 411-440. (Pubitemid 128386934)
2. Chase, R.B., Aquilano, N.J., and Jacobs, F.R., 1998. Production and operations management: Manufacturing and services. Columbus, OH: Irwin/McGraw-Hill.
3. Cheraghi, S.H. and Dadashzadeh, M., 2008. Comparative analysis of production control systems through simulation. Journal of Business & Economics Research, 6 (5), 87-103.
4. Damodaran, P. and Melouk, S., 2002. Comparison of push and pull systems with transporters: a metamodelling approach. International Journal of Production Research, 40 (12), 2923-2936.
5. Enns, S.T., 2001. MRP performance effects due to lot size and planned lead time settings. International Journal of Production Research, 39 (3), 461-480. (Pubitemid 35165669)
6. Feng, K., Rao, U., and Raturi, A., 2010. Setting planned orders in master production scheduling under demand uncertainty. International Journal of Production Research, 48 (1), 1-19.
7. Grasso, E. and Taylor, B., 1984. A simulation-based experimental investigation of supply/timing uncertainty in MRP systems. International Journal of Production Research, 22 (3), 485-497. (Pubitemid 14586994)
8. Gupta, S. and Brennan, L., 1995. MRP systems under supply and process uncertainty in an integrated shop floor control environment. International Journal of Production Research, 33 (1), 205-220.
9. Herer, Y.T. and Masin, A.M., 1997. Mathematical programming formulation of CONWIP based production lines and relationships to MRP. International Journal of Production Research, 35 (4), 1067-1076. (Pubitemid 127560011)
10. Ho, C.J. and Ireland, T.C., 1998. Correlating MRP system nervousness with forecast errors. International Journal of Production Research, 36 (8), 2285-2299. (Pubitemid 128556952)
11. Hopp, W.J. and Spearman, M.L., 2008. Factory physics. 3rd ed. New York, NY: McGraw-Hill.
12. Huang, M., Wang, D., and Ip, W.H., 1998. A simulation and comparative study of the CONWIP, Kanban and MRP production control systems in a cold rolling plant. Production Planning & Control, 9 (8), 803-812. (Pubitemid 128625505)
13. Iida, T., 2002. A non-stationary periodic review production-inventory model with uncertain production capacity and uncertain demand. European Journal of Operations Research, 140 (3), 670-683. (Pubitemid 34466904)
14. Inderfurth, K., 2009. How to protect against demand and yield risks in MRP systems. International Journal of Production Economics, 121 (2), 474-481.
15. Karmarkar, U., 1991. Push, pull and hybrid control schemes. Tijdschrift voor Economie en Management, 26 (3), 345-363.
16. Koh, S., Saad, S., and Jones, M., 2002. Uncertainty under MRP-planned manufacture: review and categorisation. International Journal of Production Research, 40 (10), 2399-2421. (Pubitemid 34807759)
17. Koh, S. and Saad, S., 2003. MRP-controlled manufacturing environment disturbed by uncertainty. Robotics and Computer-Integrated Manufacturing, 19 (1-2), 157-171.
18. Lee, T.S. and Adam, E.E., 1986. Forecasting error evaluation in material requirements planning (MRP) production inventory systems. Management Science, 32 (9), 1186-1205.
19. Louveaux, F. and Thisse, J.-F., 1985. Production and location on a network under demand uncertainty. Operations Research Letters, 4 (4), 145-149. (Pubitemid 16489483)
20. Mohan, R.P. and Ritzman, L.P., 1998. Planned lead times in multistage systems. Decision Sciences, 29 (1), 163-191.
21. Netessine, S. and Rudi, N., 2003. Centralised and competitive inventory models with demand substitution. Operations Research, 51 (2), 329-335.
22. Panda, G., Khan, D. and Ray, U., (2006). A jels stochastic inventory model with random demand [online]. Stochastic Programming E-Print Series. Available from: http://www.speps.org [Accessed 15 December 2009].
23. Srivastava, R., 2000. A review of techniques for buffering against uncertainty with MRP systems. Production Planning & Control, 11 (3), 223-233. (Pubitemid 35394352)
24. Wemmerlöv, U., 1986. A time-phased order-point system in environments with and without demand uncertainty: a comparative analysis of non-monetary performance variables. International Journal of Production Research, 24 (2), 343-358. (Pubitemid 16491142)
25. Wight, O.W., 1995. Manufacturing resource planning: MRP II: Unlocking America's productivity potential. Hoboken, NJ: John Wiley and Sons.
26. Yeung, J.H.Y., Wong, W.C.K., and Ma, L., 1998. Parameters affecting the effectiveness of MRP systems: a review. International Journal of Production Research, 36 (2), 313-332.