Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice

Gallagher T, Mitchke MD, Rogers MD. Profiting from spare parts. The McKinsey Quarterly, 2005. Botter, 2000, Stocking strategy for service parts: a case study, International Journal of Operation and Production Management, 20, 656, 10.1108/01443570010321612 Cohen, 2006, Winning in the aftermarket, Harvard Business Review, 84, 129 Boylan, 2010, Spare parts management: a review of forecasting research and extensions, IMA Journal of Management Mathematics, 21, 227, 10.1093/imaman/dpp016 Murthy, 2004, Product warranty logistics: issues and challenges, European Journal of Operations Research, 156, 110, 10.1016/S0377-2217(02)00912-8 Croston, 1972, Forecasting and stock control for intermittent demands, Journal of the Operational Research Society, 23, 289, 10.1057/jors.1972.50 Syntetos, 2005, The accuracy of intermittent demand estimates, International Journal of Forecasting, 21, 303, 10.1016/j.ijforecast.2004.10.001 Aberdeen Group The service parts management solution selection report, September 2005 Farris, 2005, Aftermarket support and the supply chain, International Journal of Physical Distribution and Logistics Management, 35, 6, 10.1108/09600030510577403 Boylan, 2007, Forecasting for inventory management of service parts, Complex System Maintenance Handbook, 20 Boone, 2008, Critical challenges of inventory management in service parts supply: a Delphi Study, Operation Management Research, 1, 31, 10.1007/s12063-008-0002-2 Aberdeen Group Integrating spare parts planning with logistics, July 2008 Wagner, 2002, And then there were none, Operation Research, 50 Sanders, 2003, The efficacy of using judgmental versus quantitative forecasting methods in practice, Omega, 31, 511, 10.1016/j.omega.2003.08.007 Niemi, 2009, Understanding the knowledge accumulation process—implications for the adoption of inventory management techniques, International Journal of Production Economics, 118, 160, 10.1016/j.ijpe.2008.08.028 Wagner, 2008, A case study-based analysis of spare parts management in the engineering industry, Production Planning & Control, 19, 397, 10.1080/09537280802034554 Kennedy, 2002, An overview of recent literature on spare parts inventories, International Journal of Production Economics, 76, 201, 10.1016/S0925-5273(01)00174-8 Williams, 1984, Stock control with sporadic and slow-moving demand, Journal of the Operational Research Society, 35, 939, 10.1057/jors.1984.185 Flores, 1988, Implementing multicriteria ABC analysis, Engineering Costs and Production Economics, 15, 191, 10.1016/0167-188X(89)90124-9 Partovi, 2002, Classifying inventory using an artificial neural network approach, Computers & Industrial Engineering, 41, 389, 10.1016/S0360-8352(01)00064-X Ramanathan, 2006, ABC inventory classification with multiple-criteria using weighted linear optimization, Computers & Operations Research, 33, 695, 10.1016/j.cor.2004.07.014 Zhou, 2006, A note on multi-criteria ABC inventory classification using weighted linear optimization, European Journal of Operational Research, 182, 1488, 10.1016/j.ejor.2006.08.052 Ng, 2007, A simple classifier for multiple criteria ABC analysis, European Journal of Operational Research, 177, 344, 10.1016/j.ejor.2005.11.018 Chen, 2006, A case-based distance model for multiple criteria ABC analysis, Computers & Operations Research, 35, 776, 10.1016/j.cor.2006.03.024 Gelders, 1978, An inventory policy for slow and fast movers in a petrochemical plant: a case study, Journal of the Operational Research Society, 29, 867, 10.1057/jors.1978.189 Gajpal, 1994, Criticality analysis of spare parts using the analytic hierarchy process, International Journal of Production Economics, 35, 293, 10.1016/0925-5273(94)90095-7 Syntetos, 2009, Demand categorisation in a European spare parts logistics network, International Journal of Operations & Production Management, 29, 292, 10.1108/01443570910939005 Ernst, 1990, Operations related groups (ORGs): a clustering procedure for production/inventory systems, Journal of Operations Management, 9, 574, 10.1016/0272-6963(90)90010-B Chu, 2008, Controlling inventory by combining ABC analysis and fuzzy classifications, Computers & Industrial Engineering, 55, 841, 10.1016/j.cie.2008.03.006 Eaves, 2004, Forecasting for the ordering and stock-holding of spare parts, Journal of the Operational Research Society, 55, 431, 10.1057/palgrave.jors.2601697 Syntetos, 2005, On the categorization of demand patterns, Journal of the Operational Research Society, 56, 495, 10.1057/palgrave.jors.2601841 Boylan, 2008, Classification for forecasting and stock control: a case study, Journal of the Operational Research Society, 59, 473, 10.1057/palgrave.jors.2602312 Yamashina, 1989, The service parts control problem, Engineering Costs and Production Economics, 16, 195, 10.1016/0167-188X(89)90043-8 Sharaf MA, Helmy, HA. A classification model for inventory management of spare parts. In: Proceedings of the 7th international conference on Production, Industrial Engineering, Design and Control (PEDAC 2001), p. 375–82. Persson, 2009, Managing the after sales logistic network—a simulation study, Production Planning & Control, 20, 125, 10.1080/09537280802707530 Huiskonen, 2001, Maintenance spare parts logistics: special characteristics and strategic choices, International Journal of Production Economics, 71, 125, 10.1016/S0925-5273(00)00112-2 Cavalieri, 2008, A decision-making framework for managing maintenance spare parts, Production Planning & Control, 19, 379, 10.1080/09537280802034471 Duchessi, 1988, A conceptual approach for managing of spare parts, International Journal of Product Development, 18, 8 Nagarur, 1994, A computer based inventory management system for spare parts, Industrial Management & Data Systems, 94, 22, 10.1108/02635579410072135 Porras, 2008, An inventory control system for spare parts at a refinery: an empirical comparison of different re-order point methods, European Journal of Operational Research, 184, 101, 10.1016/j.ejor.2006.11.008 Petrovic, 1990, A microcomputer expert system for advising on stocks in spare parts inventory systems, Engineering Costs and Production Economics, 19, 365, 10.1016/0167-188X(90)90065-P Petrovic, 1992, Further development in an expert system for advising on stocks of spare parts, International Journal of Production Economics, 24, 291, 10.1016/0925-5273(92)90141-S Mukhopadhyay SK, Pathak K, Guddu K. Development of decision support system for stock control at area level in mines, IE(I) Journal-MN, 2003 Saaty, TL. Multicriteria decision making: the analytic hierarchy process, Revised and published by the author, Original version published by McGraw-Hill, New York, 1980. Saaty, 1990, How to make a decision: the analytic hierarchy process, European Journal of Operational Research, 48, 9, 10.1016/0377-2217(90)90057-I Braglia, 2004, Multi-attribute classification method for spare parts inventory management, Journal of Quality in Maintenance Engineering, 10, 55, 10.1108/13552510410526875 Hua, 2006, A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts, Applied Mathematics and Computation, 181, 1035, 10.1016/j.amc.2006.01.064 Makridakis, 1998 Brown, 1959 Brown, 1962 Johnston, 1996, Forecasting for items with intermittent demand, Journal of the Operational Research Society, 47, 113, 10.1057/jors.1996.10 Altay, 2008, Adapting Wright's modification of Holt's method to forecasting intermittent demand, International Journal of Production Economic, 111, 389, 10.1016/j.ijpe.2007.01.009 Bermudez, 2006, Improving demand forecasting accuracy using nonlinear programming software, Journal of the Operational Research Society, 57, 94, 10.1057/palgrave.jors.2601941 Wright, 1986, Forecasting data published at irregular time intervals using an extension of Holt's method, Management Science, 32, 499, 10.1287/mnsc.32.4.499 Rao, 1973, A comment on : forecasting and stock control for intermittent demands, Operational Research Society, 24, 639, 10.1057/jors.1973.120 Schultz, 1987, Forecasting and inventory control for sporadic demand under periodic review, Journal of the Operational Research Society, 38, 453, 10.1057/jors.1987.74 Syntetos, 2001, On the bias of intermittent demand estimates, International Journal of Production Economics, 71, 457, 10.1016/S0925-5273(00)00143-2 Leven, 2004, Inventory control with a modified Croston procedure and Erlang distribution, International Journal of Production Economics, 90, 361, 10.1016/S0925-5273(03)00053-7 Boylan, 2007, The accuracy of a modified Croston procedure, International Journal of Production Economics, 107, 511, 10.1016/j.ijpe.2006.10.005 Snyder, 2002, Forecasting sales of slow and fast moving inventories, European Journal of Operational Research, 140, 684, 10.1016/S0377-2217(01)00231-4 Willemain, 2004, A new approach to forecasting intermittent demand for service parts inventories, International Journal of Forecasting, 20, 375, 10.1016/S0169-2070(03)00013-X Efron, 1979, Bootstrap methods: another look at the Jackknife, Annals of Statistics, 7, 1, 10.1214/aos/1176344552 Gardner, 2005, Correspondence: comments on a patented bootstrapping method for forecasting intermittent demand, International journal of forecasting, 21, 617, 10.1016/j.ijforecast.2005.04.021 Kalchschmidt, 2003, Inventory management in a multi-echelon spare parts supply chain, International Journal of Production Economics, 81–82, 397, 10.1016/S0925-5273(02)00284-0 Kalchschmidt, 2006, Forecasting demand from heterogeneous customers, International Journal of Operations & Production Management, 26, 619, 10.1108/01443570610666975 Verganti, 1997, Order overplanning with uncertain lumpy demand: a simplified theory, International Journal of Production Research, 35, 3229, 10.1080/002075497194057 Fisher ML, Raman A. Reducing the cost of demand uncertainty through accurate response to early sales. Report no. 92-10-03, Harvard University, USA, 1992 Fisher ML, Hammond JH, Obermeyer WR, Raman A. Making supply meet demand in an uncertain world. Harvard Business Review, 1994;May/June:83–93. Bartezzaghi, 1999, A simulation framework for forecasting uncertain lumpy demand, International Journal of Production Economics, 59, 499, 10.1016/S0925-5273(98)00012-7 Martin, 2010, Integrating the spare parts supply chain: an inter-disciplinary account, Journal of Manufacturing Technology Management, 21, 226, 10.1108/17410381011014387 Gutierrez, 2008, Lumpy demand forecasting using neural networks, International Journal of Production Economics, 111, 409, 10.1016/j.ijpe.2007.01.007 Bao Y, Wang W, Zhang J. Forecasting intermittent demand by SVMs regression. In: IEE international conference on systems, man and cybernetics, p. 461–6. Vapnik, 1995 Hua, 2007, A new approach of forecasting intermittent demand for spare parts inventories in the process industries, Journal of the Operational Research Society, 58, 52, 10.1057/palgrave.jors.2602119 Ghodrati, 2005, Operating environment-based spare parts forecasting and logistics: a case study, International Journal of Logistics: Research and Applications, 8, 95, 10.1080/13675560512331338189 Tibben-Lemke, 2001, Replacement parts management: the value of information, Journal of Business Logistics, 22, 149, 10.1002/j.2158-1592.2001.tb00008.x Dolgui, 2008, Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance, International Journal of Production Economics, 112, 885, 10.1016/j.ijpe.2007.07.008 Willemain, 1994, Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method, International Journal of Forecasting, 10, 529, 10.1016/0169-2070(94)90021-3 Syntetos, 2006, On the stock control performance of intermittent demand estimators, International Journal of Production Economics, 103, 36, 10.1016/j.ijpe.2005.04.004 Teunter, 2009, On the bias of Croston's forecasting method, European Journal of Operational Research, 194, 177, 10.1016/j.ejor.2007.12.001 Syntetos AA. Forecasting for intermittent demand. Unpublished PhD thesis. Buckinghamshire Chilterns University College, Brunel University, 2001. Teunter, 2009, Forecasting intermittent demand: a comparative study, Journal of the Operational Research Society, 60, 321, 10.1057/palgrave.jors.2602569 Zotteri, 2007, Forecasting practices: Empirical evidence and a framework for research, International Journal of Production Economics, 108, 84, 10.1016/j.ijpe.2006.12.004 Cavalieri S, Perona M, Pinto R, Saccani N. After Sales service in durable consumer goods: the case of Italian industry. In: Proceedings of the 13th annual international EurOMA conference 2006, p. 779–88. Dunsmuir, 1989, Control of inventories with intermittent demand, European Journal of Operational Research, 40, 16, 10.1016/0377-2217(89)90267-1 Vereecke, 1994, An inventory management model for an inventory consisting of lumpy items, slow movers and fast movers, International Journal of Production Economics, Elsevier, 35, 379, 10.1016/0925-5273(94)90106-6 Silver EA. Some ideas related to the inventory control of items having erratic demand patterns, 1970, CORS, 8, 87100 Ward, 1978, Determining reorder points when demand is lumpy, Management Science, 24, 623, 10.1287/mnsc.24.6.623 Guide, 1997, Repairable inventory theory: models and applications, European Journal of Operational Research, 102, 1, 10.1016/S0377-2217(97)00155-0 Dekker R, Bayindir ZP. Spare parts inventory control: an overview of issues for a large industrial complex. IMS International Forum-2004 Global Challenges in Manufacturing, p. 180–7. Sani, 1997, Selecting the best periodic inventory control and demand forecasting methods for low demand items, Journal of the Operational Research Society, 48, 700, 10.1057/palgrave.jors.2600418 Cohen, 1997, Service parts logistics: a benchmark analysis, IIE Transactions, 29, 627, 10.1080/07408179708966373 Van Donk, 2001, Make to stock or make to order: the decoupling point in the food processing industries, International Journal of Production Economics, 69, 297, 10.1016/S0925-5273(00)00035-9 Georgiadis, 2011, Optimal design of supply chain networks under uncertain transient demand variations, Omega, 39, 254, 10.1016/j.omega.2010.07.002 Kim, 2011, Inter-organizational information systems visibility in buyer–supplier relationships: the case of telecommunication equipment component manufacturing industry, Omega, 39, 667, 10.1016/j.omega.2011.01.008 Zomerdijk, 2003, An organizational perspective on inventory control: theory and a case study, International Journal of Production Economics, 81–82, 173, 10.1016/S0925-5273(02)00276-1 Miles, 1994 Yin, 1994 Lawrence, 2006, Judgmental forecasting: a review of progress over the last 25 years, International Journal of Forecasting, 22, 493, 10.1016/j.ijforecast.2006.03.007 Zsambok, 1997, Naturalistic decision-making: where are we now?, 3 Goodwin, 2002, Integrating management judgment with statistical methods to improve short-term forecasts, Omega, 30, 127, 10.1016/S0305-0483(01)00062-7 Fransoo, 2008, An empirical investigation of the neglect of MRP information by production planners, Production Planning & Control, 19, 781, 10.1080/09537280802568163 Woodward, J. Management and technology. London: H.M.S.O.; 1958. Thompson, 1967 Zeithaml, 1988, The contingency approach: its foundations and relevance to theory building and research in marketing, European Journal of Marketing, 22, 37, 10.1108/EUM0000000005291 Galbraith, 1977 Sousa, 2008, Contingency research in operations management practices, Journal of Operations Management, 26, 697, 10.1016/j.jom.2008.06.001 Voss, 1995, Alternative paradigms for manufacturing strategy, International Journal of Operations & Production Management, 15, 5, 10.1108/01443579510083587 Olhager, 2012, The impact of manufacturing and supply chain improvement initiatives: a survey comparing make-to-order and make-to-stock firms, Omega, 40, 159, 10.1016/j.omega.2011.05.001 Drazin, 1985, Alternative forms of fit in contingency theory, Administrative Science Quarterly, 30, 514, 10.2307/2392695 Lele, 1997, After-sales service—necessary evil or strategic opportunity?, Managing Service Quality, 7, 141, 10.1108/09604529710166914 Cohen, 2000, Saturn's supply-chain innovation: high value in after-sales service, Sloan Management Review, 93 Paulzen O, Perc P. A maturity model for quality improvement in knowledge management. In: Wenn A, McGrath M, Burstein F, editors. Enabling organizations and society through information systems, Proceedings of the 13th Australasian Conference on Information Systems (ACIS2002), p. 243–53. Müller-Merbach, 2010, The OR/MS process: an orphan? The five sections analysis, Omega, 38, 115, 10.1016/j.omega.2009.10.004 Thonemann, 2002, Easy quantification of improved spare parts inventory policies, Management Science, 48, 1213, 10.1287/mnsc.48.9.1213.173 Gunasekaran, 2008, Special issue on logistics: new perspectives and challenges, Omega, 36, 505, 10.1016/j.omega.2007.05.001 Trapero, 2012, Impact of information exchange on supplier forecasting performance, Omega, 40, 738, 10.1016/j.omega.2011.08.009