Myopic inventory policies using individual customer arrival information

Manufacturing and Service Operations Management

Volumn 12, Issue 4, 2010, Pages 663-672

  Martínez de Albéniz, Victor ^a   Lago, Alejandro ^a  

^a IESE BUSINESS SCHOOL   (Spain)

Author keywords

Single unit decomposition approach; State dependent base stock policies

Indexed keywords

EID: 78149301277     PISSN: 15234614     EISSN: 15265498     Source Type: Journal    
DOI: 10.1287/msom.1100.0293     Document Type: Article

References (17)

1. Axsáter, S. 1990. Simple solution procedures for a class of twoechelon inventory problems. Oper. Res. 38(1) 64-69.
2. Bertsekas, D. P. 2005. Dynamic Programming and Optimal Control, 3rd ed. Athena Scientific, Belmont, MA.
3. Chen, F., J.-S. Song. 2001. Optimal policies for multiechelon inventory problems with Markov-Modulated demand. Oper. Res. 49(2) 226-234.
4. Clark, A. J., H. Scarf. 1960. Optimal policies for a multi-echelon inventory problem. Management Sci. 6(4) 475-490.
5. Janakiraman, G., J. A. Muckstadt. 2009. A decomposition approach for a class of capacitated serial systems. Oper. Res. 57(6) 1384-1393.
6. Johnson, G. D., H. E. Thompson. 1975. Optimality of myopic inventory policies for certain dependent demand processes. Management Sci. 21(11) 1303-1307.
7. Kaplan, R. S. 1970. A dynamic inventory model with stochastic lead times. Management Sci. 16(7) 491-507.
8. Karlin, S. 1960. Dynamic inventory policy with varying stochastic demands. Management Sci. 6(3) 231-258.
9. Lovejoy, W. S. 1992. Stopped myopic policies in some inventory models with generalized demand processes. Management Sci. 38(5) 688-707.
10. Muharremoglu, A., J. N. Tsitsiklis. 2003. Dynamic leadtime management in supply chains. Working paper, Graduate School of Business, Columbia University, New York.
11. Muharremoglu, A., J. N. Tsitsiklis. 2008. A single-unit decomposition approach to multiechelon inventory systems. Oper. Res. 56(5) 1089-1103.
12. Song, J. S., P. H. Zipkin. 1993. Inventory control in a fluctuating demand environment. Oper. Res. 41(2) 351-370.
13. Veinott, A. F., Jr. 1965a. Optimal policy in a dynamic, single product, nonstationary inventory model with several demand classes. Oper. Res. 13(5) 761-778.
14. Veinott, A. F., Jr. 1965b. Optimal policy for a multi-product, dynamic, nonstationary inventory problem. Management Sci. 12(3) 206-222.
15. Wang, Y. 2001. The optimality of myopic stocking policies for systems with decreasing purchasing prices. Eur. J. Oper. Res. 133(1) 153-159.
16. Yu, Y., S. Benjaafar. 2009. A customer-item decomposition approach to stochastic inventory problem with correlation. Working paper, University of Minnesota, Minneapolis.
17. Zipkin, P. H. 2000. Foundations of Inventory Management. McGraw- Hill International Editions, New York.