A Single-Product Inventory Model for Multiple Demand Classes

Published Online:https://doi.org/10.1287/mnsc.1070.0701

References

  • Atkins D., Katircioglu K. Managing inventory for multiple customers requiring different levels of service. (1996) . Working paper, University of British Columbia, Vancouver, BC, CanadaGoogle Scholar
  • Dekker R., Kleijn M. J., de Rooij P. J. A spare parts stocking policy based on equipment criticality. Int. J. Production Econom. (1998) 56–57:69–77CrossrefGoogle Scholar
  • Dekker R., Hill R. M., Kleijn M. J., Teunter R. H. On the (S-1, S) lost sales inventory model with priority demand classes. Naval Res. Logist. (2002) 49:593–610CrossrefGoogle Scholar
  • Deshpande V., Cohen M. A. A nested threshold inventory rationing policy for multiple demand classes in inventory systems with replenishment. (2005) . Working paper, Krannert School of Management, Purdue University, West Lafayette, INGoogle Scholar
  • Deshpande V., Cohen M. A., Donohue K. A threshold inventory rationing policy for service-differentiated demand classes. Management Sci. (2003) 49(6):683–703LinkGoogle Scholar
  • de Véricourt F., Karaesmen F., Dallery Y. Dynamic scheduling in a make-to-stock system: A partial characterization of optimal policies. Oper. Res. (2000) 48(5):811–819LinkGoogle Scholar
  • de Véricourt F., Karaesmen F., Dallery Y. Optimal stock allocation for a capacitated supply system. Management Sci. (2002) 48(11):1486–1501LinkGoogle Scholar
  • Evans R. V. Sales and restocking policies in a single inventory system. Management Sci. (1968) 14(7):463–473LinkGoogle Scholar
  • Fadiloglu M. M., Bulut Ö. An embedded Markov chain approach to the analysis of inventory systems with backordering under rationing. (2005) . Working paper, Department of Industrial Engineering, Bilkent University, Ankara, TurkeyGoogle Scholar
  • Frank K. C., Zhang R. Q., Duenyas I. Optimal policies for inventory systems with priority demand classes. Oper. Res. (2003) 51(6):993–1002LinkGoogle Scholar
  • Graves S. C. A multi-echelon inventory model for a repairable item with one-for-one replenishment. Management Sci. (1985) 31(10):1247–1256LinkGoogle Scholar
  • Graves S. C. A multi-echelon inventory model with fixed replenishment intervals. Management Sci. (1996) 42(1):1–18LinkGoogle Scholar
  • Ha A. Y. Inventory rationing in a make-to-stock production system with several demand classes and lost sales. Management Sci. (1997a) 43(8):1093–1103LinkGoogle Scholar
  • Ha A. Y. Stock rationing policy for a make-to-stock production system with two priority classes and backordering. Naval Res. Logist. (1997b) 44(5):457–472CrossrefGoogle Scholar
  • Kaplan A. Stock rationing. Management Sci. (1969) 15(5):260–267LinkGoogle Scholar
  • Kleijn M. J., Dekker R. An overview of inventory systems with several demand classes. (1998) . Econometric Institute Report 9838/A, Erasmus University, Rotterdam, The NetherlandsGoogle Scholar
  • Melchiors P. Rationing policies for an inventory model with several demand classes and stochastic lead times. (2001) . Working paper, Department of Operations Research, University of Aarhus, DenmarkGoogle Scholar
  • Melchiors P., Dekker R., Kleijn M. J. Inventory rationing in an (s, Q) inventory model with lost sales and two demand classes. J. Oper. Res. Soc. (2000) 51(1):111–122CrossrefGoogle Scholar
  • Moon I., Kang S. Rationing policies for some inventory systems. J. Oper. Res. Soc. (1998) 49(5):509–518CrossrefGoogle Scholar
  • Nahmias S., Demmy S. Operating characteristics of an inventory system with rationing. Management Sci. (1981) 27(11):1236–1245LinkGoogle Scholar
  • Topkis D. Optimal ordering and rationing policies in a non-stationary dynamic inventory model with n demand classes. Management Sci. (1968) 15(3):160–176LinkGoogle Scholar
  • Veinott A. F. Optimal policy in a dynamic, single product, nonstationary inventory model with several demand classes. Oper. Res. (1965) 13(5):761–778LinkGoogle Scholar
  • Zipkin P. H.Foundations of Inventory Management (2000) (McGraw-Hill, New York) Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.