Spare Parts Inventory Management with Substitution-Dependent Reliability
Published Online:21 Sep 2018https://doi.org/10.1287/ijoc.2017.0794
References
- (2003) A new decision rule for lateral transshipments in inventory systems. Management Sci. 49(9):1168–1179.Link, Google Scholar
- (1999) Single-period multiproduct inventory models with substitution. Oper. Res. 47(4):632–642.Link, Google Scholar
- (1996) Neuro-Dynamic Programming. Optimization and Neural Computation Series, Vol. 3, 1st ed. (Athena Scientific, Nashua, NH).Google Scholar
- (2013) Fairness, efficiency, and flexibility in organ allocation for kidney transplantation. Oper. Res. 61(1):73–87.Link, Google Scholar
- (2011) Introduction to Stochastic Programming. Springer Series in Operations Research and Financial Engineering, 2nd ed. (Springer, New York).Crossref, Google Scholar
- (2010) Information relaxations and duality in stochastic dynamic programs. Oper. Res. 58(4-part-1): 785–801.Link, Google Scholar
- (2003) Determinants of environmental innovation in US manufacturing industries. J. Environment. Econom. Management 45(2):278–293.Crossref, Google Scholar
- (2004) On constraint sampling in the linear programming approach to approximate dynamic programming. Math. Oper. Res. 29(3):462–478.Link, Google Scholar
- (2015) Maintenance spare parts planning and control: A framework for control and agenda for future research. Production Planning Control 26(5):407–426.Google Scholar
- EPA (2016) Summary of the Clean Air Act. http://www.epa.gov/laws-regulations/summary-clean-air-act.Google Scholar
- (2016) Asymptotic optimality of constant-order policies for lost sales inventory models with large lead times. Math. Oper. Res. 41(3): 898–913.Link, Google Scholar
- (2015) Inventory control in a spare parts distribution system with emergency stocks and pipeline information. Manufacturing Service Oper. Management 17(2):142–156.Link, Google Scholar
- (2015) Optimal hour-ahead bidding in the real-time electricity market with battery storage using approximate dynamic programming. INFORMS J. Comput. 27(3):525–543.Link, Google Scholar
- (2015) The price of nonabandonment: HIV in resource-limited settings. Manufacturing Service Oper. Management 17(4):554–570.Link, Google Scholar
- (2010) Monotone optimal replacement policies for a Markovian deteriorating system in a controllable environment. Oper. Res. Lett. 38(4):273–279.Crossref, Google Scholar
- (2010) An approximate dynamic programming approach to benchmark practice-based heuristics for natural gas storage valuation. Oper. Res. 58(3):564–582.Link, Google Scholar
- (2010) Approximate dynamic programming for ambulance redeployment. INFORMS J. Comput. 22(2):266–281.Link, Google Scholar
- (2004) How a base stock policy using “stale” forecasts provides supply chain benefits. Manufacturing Service Oper. Management 6(2):149–162.Link, Google Scholar
- (2015) Relaxations of approximate linear programs for the real option management of commodity storage. Management Sci. 61(12):3054–3076.Link, Google Scholar
- (2008) Inventory models for substitutable products: Optimal policies and heuristics. Management Sci. 54(8):1453–1466.Link, Google Scholar
- (1981) Managing repairable item inventory systems: A review. TIMS Stud. Management Sci. 16(1):253–277.Google Scholar
- (2007) Approximate Dynamic Programming—Solving the Curses of Dimensionality (John Wiley & Sons, Hoboken, NJ).Crossref, Google Scholar
- (2005) Markov Decision Processes: Discrete Stochastic Dynamic Programming (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (1990) Optimal and approximate policies in multiperiod, multilocation inventory models with transshipments. Oper. Res. 38(2):278–295.Link, Google Scholar
- (2001) A two-location inventory model with transshipment and local decision making. Management Sci. 47(12):1668–1680.Link, Google Scholar
- (2009) Dynamic capacity management with substitution. Oper. Res. 57(3):671–684.Link, Google Scholar
- (1995) Survival in dynamic environments. Statist. Sci. 10(1):86–103.Crossref, Google Scholar
- (2002) Easy quantification of improved spare parts inventory policies. Management Sci. 48(9):1213–1225.Link, Google Scholar
- (2013) Dynamic demand fulfillment in spare parts networks with multiple customer classes. Eur. J. Oper. Res. 228(2): 367–380.Crossref, Google Scholar
- (2006) Approximate dynamic programming methods for an inventory allocation problem under uncertainty. Naval Res. Logist. 53(8):822–841.Crossref, Google Scholar
- (1997) A neuro-dynamic programming approach to retailer inventory management. Proc. 36th IEEE Conf. Decision and Control, Vol. 4 (IEEE, San Diego, CA), 4052–4057.Google Scholar
- (1965a) Optimal policy for a multi-product, dynamic, nonstationary inventory problem. Management Sci. 12(3):206–222.Link, Google Scholar
- (1965b) Optimal policy in a dynamic, single product, nonstationary inventory model with several demand classes. Oper. Res. 13(5):761–778.Link, Google Scholar
- (2011) Balancing priorities: Decision-making in sustainable supply chain management. J. Oper. Management 29(6): 577–590.Crossref, Google Scholar
- (2011) An improved dynamic programming decomposition approach for network revenue management. Manufacturing Service Oper. Management 13(1):35–52.Link, Google Scholar
- (2009) An approximate dynamic programming approach to network revenue management with customer choice. Transportation Sci. 43(3):381–394.Link, Google Scholar
- (2008) Old and new methods for lost-sales inventory systems. Oper. Res. 56(5):1256–1263.Link, Google Scholar

