Computational issues in a stochastic finite horizon one product recovery inventory model

European Journal of Operational Research

Volumn 146, Issue 3, 2003, Pages 553-579

  Kiesmüller, Gudrun P ^a   Scherer, Carsten W ^b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Dynamic programming; Inventory; Optimal control; Reverse logistics

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; DYNAMIC PROGRAMMING; LOGISTICS; OPTIMAL CONTROL SYSTEMS; RANDOM PROCESSES;

PRODUCT RECOVERY SYSTEMS;

INVENTORY CONTROL;

EID: 0037401491     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(02)00249-7     Document Type: Article

References (8)

1. Bellmann R. Dynamic Programming. 1957;Princeton University Press, Englewood Cliffs, NJ.
2. Bertsekas D. Dynamic Programming and Stochastic Control. 1976;Academic Press, New York.
3. Hadley G., Whitin T.M. Analysis of Inventory Systems. 1963;Prenctice-Hall, Englewood Cliffs, NJ.
4. Inderfurth K. Simple optimal replenishment and disposal policies for a product recovery system with leadtimes. OR Spektrum. 19:1997;111-122.
5. K. Inderfurth, T. Jensen, Analysis of MRP Policies with Recovery Options, Working Paper, Otto-von-Guericke-University Magdeburg, 1 (1998).
6. Kiesmüller G., Minner S., Kleber R. Optimal control of a one product recovery system with backlogging. IMA Journal of Applied Mathematics in Business and Industry. 11(3):2000;189-207.
7. van der Laan E., Salomon M. Production planning and inventory control with remanufacturing and disposal. European Journal of Operational Research. 102:1997;264-278.
8. Simpson V.P. Optimum solution structure for a repairable inventory problem. Operations Research. 26(2):1978;270-281.