참고문헌
- Aberdeen Group (2005), The service parts management solution selection report.
- Altay, N. and Litteral, L.A. (2011), "Service parts management: demand forecasting and inventory control", Springer.
- ltay, N., Rudisill, F. and Litteral, L.A. (2008), "Adapting Wright's modification of Holt's method to forecasting intermittent demand", International Journal of Production Economics, 111:389-408. https://doi.org/10.1016/j.ijpe.2007.01.009
- Bacchetti, A. and Saccani, N. (2012), "Spare parts classification and demand forecasting for stock control: investigating the gap between research and practice", Omega, 40:722-737. https://doi.org/10.1016/j.omega.2011.06.008
- Bass, F. (1969), "A new product growth model for consumer durables", Management Science, 15:215-227. https://doi.org/10.1287/mnsc.15.5.215
- Boone, C.A., Graighead, C.W. and Hanna, J.B. (2008), "Critical challenges of inventory management in service parts supply: a Delphi study", Operations Management Research, 1:31-39. https://doi.org/10.1007/s12063-008-0002-2
- Chaharsooghi, S.K., Heydari, J. and Zegordi, S.H. (2008), "A reinforcement learning model for supply chain ordering management: an application to the beer game", Decision Support Systems, 45:949-959. https://doi.org/10.1016/j.dss.2008.03.007
- Croston, J.D. (1972), "Forecasting and stock control for intermittent demands", Operational Research Quarterly, 23:289-304. https://doi.org/10.1057/jors.1972.50
- Dekker, R., Pince, C., Zuidwijk, R. and Jalil, M.N. (2013), "On the use of installed base information for spare parts logistics: a review of ideas and industry practice", International Journal of Production Economics, 143:536-545. https://doi.org/10.1016/j.ijpe.2011.11.025
- Fildes, R., Nikolopoulos, K., Crone, S.F. and Syntetos, A.A. (2008), "Forecasting and operational research: a review", Journal of the Operational Research Society, 59:1150-1172. https://doi.org/10.1057/palgrave.jors.2602597
- Gallagher, T., Mitchke, M.D. and Rogers, M.D. (2005), "Profiting from spare parts", Mcknksey Quarterly.
- Gosavi, A. (2009), "Reinforcement learning: a tutorial survey and recent advances", INFORMS Journal on Computing, 21:178-192. https://doi.org/10.1287/ijoc.1080.0305
- Jiang, C. and Sheng, Z. (2009), "Case-based reinforcement learning for dynamic inventory control in an multi-agent supply-chain system", Expert Systems with Applications, 36:6520-6526. https://doi.org/10.1016/j.eswa.2008.07.036
- Kim, C.O., Kwon, I.H. and Baek, J.G. (2008), "Asynchronous action-reward learning for nonstationary serial supply chain inventory control", Applied Intelligence, 28:1-16. https://doi.org/10.1007/s10489-007-0038-2
- Knecht, T., Leszinski, R. and Weber, F.A. (1993), "Making profits after the sale", McKinsey Quarterly.
- Molenaers, A., Baets, H., Pintelon, L. and Waeyenberg, G. (2010), "Criticality classification of spare parts: a case study", 16th International Working Seminar on Production Economics.
- Muckstadt, J.A. (2004), "Analysis and algorithms for service parts supply chains", Springer.
- Pontrandolfo, P., Gosavi, A., Okogbaa, O.G. and Das, T.K. (2002), "Global supply chain management: a reinforcement learning approach", International Journal of Production Research, 40:1299-1317. https://doi.org/10.1080/00207540110118640
- Silver, E.A., Pyke, D.F. and Peterson, R. (2008), "Inventory management and production planning and scheduling", John Wiley & Sons.
- Smart, C.N. (2002), "Accurate intermittent demand/inventory forecasting: new technologies and dramatic results", In: Proceeding of APICS International Conference, C-08.
- Sutton, R.S. and Barto, A.G. (1998), "Reinforcement learning", MIT Press.
- Syntetos, A.A., Babai, M.Z. and Altay, N. (2012), "On the distribution of spare parts", International Journal of Production Research, 50:2101-2117. https://doi.org/10.1080/00207543.2011.562561
- Syntetos, A.A. and Boylan, J.E. (2001), "On the bias of intermittent demand estimates", International Journal of Production Economics, 71:457-466. https://doi.org/10.1016/S0925-5273(00)00143-2
- Syntetos, A.A. and Boylan, J.E. (2005), "The accuracy of intermittent demand estimates", International Journal of Forecasting, 21:303-314. https://doi.org/10.1016/j.ijforecast.2004.10.001
- Syntetos, A.A., Keyes, M. and Babai, M.Z. (2009), "Demand categorisation in a European spare parts logistics network", International Journal of Operations and Production Management, 29:292-316. https://doi.org/10.1108/01443570910939005
- Teunter R.H., Syntetos, A.A. and Babai, M.Z. (2011), "Intermittent demand: linking forecasting to inventory obsolescence", European Journal of Operational Research, 214:606-615. https://doi.org/10.1016/j.ejor.2011.05.018
- Zarandi, M.H.F., Moosavi, S.V. and Zarinbal, M. (2013), "A fuzzy reinforcement learning algorithm for inventory control in supply chains", International Journal of Advanced Manufacturing Technology, 65:557-569. https://doi.org/10.1007/s00170-012-4195-z
피인용 문헌
- 병원내 의료기기 교체의 우선순위 결정을 위한 단순평가법 개발 vol.41, pp.6, 2020, https://doi.org/10.9718/jber.2020.41.6.256