An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods

European Journal of Operational Research

Volumn 184, Issue 1, 2008, Pages 101-132

  Porras, Eric ^a   Dekker, Rommert ^b  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

^b ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

Demand classes; Inventory control; Re order points; Service levels; Spare parts

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; PETROLEUM REFINING; SOCIETIES AND INSTITUTIONS;

DEMAND CLASSES; RE-ORDER POINTS; SERVICE LEVELS; SPARE PARTS;

INVENTORY CONTROL;

EID: 34548447487     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2006.11.008     Document Type: Article

References (19)

1. Axsäter S. Inventory Control (2000), Kluwer Academic Publisher, Boston, MA
2. Bookbinder J.H., and Lordahl A.E. Estimation of inventory re-order levels using the bootstrap statistical procedure. IIE Transactions 21 (1989) 302-312
3. Chopra S., and Meindl P. Supply Chain Management: Strategy, Planning and Operations. second ed. (2004), Prentice-Hall Inc., NJ
4. Croston J.D. Forecasting and stock control for intermittent demands. Operational Research Quarterly 23 (1972) 289-303
5. Efron B., and Tibshirani R.J. An Introduction to the Bootstrap (1993), Chapman and Hall, New York
6. Feeney G.J., and Sherbrooke C.C. The (s - 1, s) inventory policy under compound Poisson demand. Management Science 12 (1966) 391-411
7. Gelders L.F., and van Looy P.M. An inventory policy for slow and fast movers in a petrochemical plant: A case study. Journal of the Operational Research Society 29 9 (1978) 867-874
8. Ghobbar A.A., and Friend C.H. Evaluation of forecasting methods for intermittent parts demand in the field of aviation: A predictive model. Computers and Operations Research 30 (2003) 2097-2114
9. Heizer J., and Bender B. Operations Management. 6th ed. (2001), Prentice-Hall, New Jersey
10. Kennedy W.J., Patterson J.W., and Fredendall L.D. An overview of recent literature on spare parts inventories. International Journal of Production Economics 76 (2002) 201-215
11. Muckstadt, J., 2005. Analysis and algorithms for service parts supply chains, Springer Series in Operations Research and Financial Engineering.
12. Porras, E., 2005. Inventory Theory in Practice: Joint Replenishments and Spare Parts Control, Tinbergen Institute Research Series No. 363, Erasmus University Rotterdam, the Netherlands.
13. Schultz C.R. Forecasting and inventory control for sporadic demand under periodic review. Journal of the Operational Research Society 37 (1987) 303-308
14. Silver, E.A., Ho, Chung-Mei, Deemer, R.L., 1971. Cost minimising inventory control of items having a special type of erratic demand pattern. INFOR 9, pp. 198-219.
15. Silver E.A., Pyke D.F., and Peterson R. Inventory Management and Production Planning and Scheduling. third ed. (1998), John Wiley & Sons, NY
16. Strijbosch L.W.G., Heuts R.M.J., and van der Schoot E.H.M. A combined forecast-inventory control procedure for spare parts. Journal of the Operational Research Society 51 (2000) 1184-1192
17. van der Heijden M.C., Diks E.B., and de Kok A.G. Allocation policies in general multi-echelon distribution systems with (R, S) order-up-to policies. International Journal of Production Economics 38 (1997) 225-244
18. Willemain T.R., Smart C.N., and Schwarz H.F. A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting 20 (2004) 375-387
19. Williams T.M. Stock control with sporadic and slow-moving demand. Journal of the Operational Research Society 35 10 (1984) 939-948