Spare parts demand: Linking forecasting to equipment maintenance

Transportation Research Part E: Logistics and Transportation Review

Volumn 47, Issue 6, 2011, Pages 1194-1209

  Wang, Wenbin ^a,b   Syntetos, Aris A ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Delay time; Forecasting; Inventory management; Maintenance; Spare parts

Indexed keywords

DEMAND ANALYSIS; FORECASTING METHOD; MAINTENANCE; MODELING; TRANSPORTATION SYSTEM;

EID: 79960949358     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2011.04.008     Document Type: Article

References (48)

1. Akbarov A., Wang W., Christer A.H. Problem identification in the frame of maintenance modeling: a case study. International Journal of Production Research 2008, 46:1031-1046.
2. Albright S.C., Gupta A. Steady-state approximation of a multi-echelon multi-indentured repairable-item inventory system with a single repair facility. Naval Research Logistics 1993, 40:479-493.
3. Armstrong M., Atkins D. Joint optimization of maintenance and inventory policies for a simple system. IIE Transactions 1996, 28:415-424.
4. Baker R.D., Wang W. Determining the delay time distribution of faults in repairable machinery from failure data. IMA Journal of Mathematics Applied in Business and Industry 1991, 3:259-282.
5. Boylan J.E., Syntetos A.A. Intermittent demand forecasting: size-interval methods based on average and smoothing. Proceedings of the International Conference on Quantitative Methods in Industry and Commerce, Athens, Greece 2003, 2003:87-96.
6. Boylan J.E., Syntetos A.A. Forecasting for inventory management of service parts. Complex System Maintenance Handbook 2008, 479-508. Springer Verlag, London. D.N.P. Murthy, K.A.H. Kobbacy (Eds.).
7. Brezavšček A., Hudoklin A. A joint optimization of block-replacement and periodic-review spare-provisioning policy. IEEE Transactions in Reliability 2003, 52:112-117.
8. Cho D.I., Parlar M. A survey of maintenance models for multi-unit systems. European Journal of Operational Research 1991, 51:1-23.
9. Christer A.H. Developments in delay time analysis for modelling plant maintenance. Journal of the Operational Research Society 1999, 50:1120-1137.
10. Christer A.H., Waller W.M. Reducing production downtime using delay time analysis. Journal of the Operational Research Society 1984, 35:499-512.
11. Christer A.H., Wang W., Baker R.D., Sharp J.M. Modelling maintenance practice of production plant using the delay-time concept. IMA Journal of Management Mathematics 1995, 6:67-83.
12. Christer A.H., Wang W., Sharp J.M., Baker R.D. A stochastic modeling problem of high-tech steel production plant. Stochastic Modelling in Innovative Manufacturing, Lecture Notes in Economics and Mathematical Systems 1997, 196-214. Springer Verlag, Berlin. A.H. Christer, S. Osaki, L.C. Thomas (Eds.).
13. Croston J.D. Forecasting and stock control for intermittent demand. Operational Research Quarterly 1972, 23:289-303.
14. de Smidt-Destombes K.S., van der Heijden M.C., van Harten A. Availability of k-out-of-N systems under block replacement sharing limited spares and repair capacity. International Journal of Production Economics 2007, 107:404-421.
15. de Smidt-Destombes K.S., van der Heijden M.C., van Harten A. Joint optimisation of spare part inventory, maintenance frequency and repair capacity for k-out-of-N systems. International Journal of Production Economics 2009, 118:260-268.
16. Dekker R. Applications of maintenance optimization models: a review and analysis. Reliability Engineering and System Safety 1996, 51:229-240.
17. Dhakar T., Schmidt C., Miller D. Base stock level determination for higher cost low demand critical repairable spares. Computers and Operational Research 1994, 21:411-420.
18. Eaves A.H.C., Kingsman B.G. Forecasting for the ordering and stock-holding of spare parts. Journal of the Operational Research Society 2004, 55:431-437.
19. Fildes R., Nikolopoulos K., Crone S., Syntetos A.A. Forecasting and operational research: a review. Journal of the Operational Research Society 2008, 59:1150-1172.
20. Gutierrez R.S., Solis A.O., Mukhopadhyay S. Lumpy demand forecasting using neural networks. International Journal of Production Economics 2008, 111:409-420.
21. Jones B., Jenkinson I., Wang J. Methodology of using delay-time analysis for a manufacturing industry. Reliability Engineering and System Safety 2009, 94:111-124.
22. Kabir A.B.M.Z., Al-Olayan A.S. Joint optimization of age replacement and continuous review spare provisioning policy. International Journal of Operations and Production Management 1994, 14:53-69.
23. Kabir A.B.M.Z., Al-Olayan A.S. A stocking policy for spare part provisioning under age-based preventive replacement. European Journal of Operational Research 1996, 90:171-181.
24. Kennedy W.J., Patterson J.W., Fredendall L.D. An overview of recent literature on spare parts inventories. International Journal of Production Economics 2002, 76:201-215.
25. Kim J., Shin K., Yu H. Optimal algorithm to determine the spare inventory level for a repairable-item inventory system. Computers and Operational Research 1996, 23:289-297.
26. Kutanoglu E., Lohiya D. Integrated inventory and transportation mode selection: a service parts logistics system. Transportation Research Part E: Logistics and Transportation Review 2008, 44:665-683.
27. Nahmias S. Managing repairable item inventory systems: a review. TIMS Studies in the Management Sciences 1981, 16:253-277.
28. Nicolai R.P., Dekker R. Optimal maintenance of multi-component systems: a review. Complex System Maintenance Handbook 2008, 263-286. Springer Verlag, London. D.N.P. Murthy, K.A.H. Kobbacy (Eds.).
29. Pillay A., Wang J., Wall A.D., Ruxton T. A maintenance study of fishing vessel equipment using delay-time analysis. Journal of Quality in Maintenance Engineering 2001, 7:118-128.
30. Porras E.M., Dekker R. An inventory control system for spare parts at a refinery: an empirical comparison of different reorder point methods. European Journal of Operational Research 2008, 184:101-132.
31. Rustenburg W.D., van Houtum G.J., Zijm W.H.M. Spare parts management at complex technology-based organizations: an agenda for research. International Journal of Production Economics 2001, 71:177-193.
32. Scarf P.A., Deara M. Block replacement policies for a two-component system with failure dependence. Naval Research Logistics 2003, 50:70-87.
33. Schultz C.R. Forecasting and inventory control for sporadic demand under periodic review. Journal of the Operational Research Society 1987, 38:453-458.
34. Shale E.A., Boylan J.E., Johnston F.R. Forecasting for intermittent demand: the estimation of an unbiased average. Journal of the Operational Research Society 2006, 57:588-592.
35. Simpson V.P. Optimum solution structure for a repairable inventory problem. Operations Research 1978, 26:270-281.
36. Syntetos A.A., Boylan J.E. On the bias of intermittent demand estimates. International Journal of Production Economics 2001, 71:457-466.
37. Syntetos A.A., Boylan J.E. The accuracy of intermittent demand estimates. International Journal of Forecasting 2005, 21:303-314.
38. Syntetos A.A., Boylan J.E., Disney S.M. Forecasting for inventory planning: a 50-year review. Journal of the Operational Research Society 2009, 60:S149-S160.
39. Teunter R., Duncan L. Forecasting intermittent demand: a comparative study. Journal of the Operational Research Society 2009, 60:321-329.
40. Teunter R., Sani B. On the bias of Croston's forecasting method. European Journal of Operational Research 2009, 194:177-183.
41. Thomas L.C. A survey of maintenance and replacement models for maintainability and reliability of multi-item systems. Reliability Engineering and System Safety 1986, 16:297-309.
42. Wang H.Z. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 2002, 139:469-489.
43. Wang W. Delay time modelling. Complex System Maintenance Handbook 2008, 345-370. Springer Verlag, London. D.N.P. Murthy, K.A.H. Kobbacy (Eds.).
44. Wang W. Condition based maintenance modelling. Complex System Maintenance Handbook 2008, 111-132. Springer Verlag, London. D.N.P. Murthy, K.A.H. Kobbacy (Eds.).
45. Wang W., Christer A.H. Solution algorithms for a nonhomogeneous multi-component inspection model. Computers and Operational Research 2003, 30:190-234.
46. Wang W., Banjevic D., Pecht M.G. A multi-component and multi-failure mode inspection model based on the delay time concept. Reliability Engineering and System Safety 2010, 95:912-920.
47. Willemain T.R., Smart C.N., Schwarz H.F. A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting 2004, 20:375-387.
48. Yeralan S., Dieck A.J., Darwin R.F. Economically optimum maintenance, repair and buffering operations in manufacturing operations. Engineering Economics 1986, 31:279-292.