Vendor managed inventory for environments with stochastic product usage

European Journal of Operational Research

Volumn 202, Issue 3, 2010, Pages 686-695

  Hemmelmayr, Vera ^a   Doerner, Karl F ^a   Hartl, Richard F ^a   Savelsbergh, Martin W P ^b  

^a UNIVERSITY OF VIENNA   (Austria)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Demand uncertainty; Inventory routing; Sampling; Variable neighborhood search

Indexed keywords

BLOOD BANK; BLOOD PRODUCTS; COMPUTATIONAL STUDIES; DELIVERY ROUTES; DEMAND UNCERTAINTY; INVENTORY ROUTING; LOW COSTS; SAMPLING-BASED; VARIABLE NEIGHBORHOOD SEARCH; VENDOR MANAGED INVENTORY;

HOSPITALS; INTEGER PROGRAMMING;

BLOOD;

EID: 70350571123     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2009.06.003     Document Type: Article

References (18)

1. Alrefaei M., and Andradottir S. A simulated annealing algorithm with constant temperature for discrete stochastic optimization. Management Science 45 (1999) 748-764
2. Bard J., Huang L., Jaillet P., and Dror M. A decomposition approach to the inventory routing problem with satellite facilities. Transportation Science 32 2 (1998) 189-203
3. Bell W., Dalberto L., Fisher M., Greenfield A., Jaikumar R., Kedia P., Mack R., and Prutzman P. Improving the distribution of industrial gases with an on-line computerized routing and scheduling optimizer. Interfaces 13 6 (1983) 4-23
4. Berman O., and Larson R. Deliveries in an inventory/routing problem using stochastic dynamic programming. Transportation Science 35 2 (2001) 192-213
5. Bertazzi, L., Savelsbergh, M., Speranza, M., 2008. Inventory routing. In: Golden, B., Raghavan, S., Wasil, E. (Eds.), The Vehicle Routing Problem: Latest Advances and New Challenges, Operations Research/Computer Science Interfaces Serices, vol. 43. Springer, pp. 49-72.
6. Campbell A., Clarke L., Kleywegt A., and Savelsbergh M. The inventory routing problem. In: Crainic T., and Laporte G. (Eds). Fleet Management and Logistics (1998), Kluwer Academic Publishers, Dordrecht, The Netherlands
7. Clarke G., and Wright J.W. Scheduling of vehicles from a central depot to a number of delivery points. Operations Research 12 (1964) 568-581
8. Cordeau J.-F., Laporte G., Savelsbergh M., and Vigo D. Vehicle routing. In: Barnhart C., and Laporte G. (Eds). Handbooks in Operations Research and Management Science vol. 14 (2007), Elsevier, North-Holland, Amsterdam pp. 367-428
9. Federgruen A., and Zipkin P. A combined vehicle routing and inventory allocation problem. Operations Research 32 5 (1984) 1019-1037
10. Golden B., Assad A., and Dahl R. Analysis of a large scale vehicle routing problem with an inventory component. Large scale systems 7 2-3 (1984) 181-190
11. Gutjahr W., and Pflug G. Simulated annealing for noisy cost functions. Journal of Global Optimization 8 (1996) 1-13
12. Hansen P., and Mladenović N. Variable neighborhood search: Principles and applications. European Journal of Operational Research 130 (2001) 449-467
13. Hemmelmayr, V., Doerner, K., Hartl, R., Savelsbergh, M., in press. Delivery strategies for blood products supplies. OR Spectrum.
14. Jaillet P., Bard J., Huang L., and Dror M. Delivery cost approximations for inventory routing problems in a rolling horizon framework. Transportation Science 36 3 (2002) 292-300
15. Kirkpatrick S., Gelatt Jr C., and Vecchi M. Optimization by simulated annealing. Science 220 (1983) 671-680
16. Kleywegt A., Nori V., and Savelsbergh M. The stochastic inventory routing problem with direct deliveries. Transportation Science 36 1 (2002) 94-118
17. Kleywegt A., Nori V., and Savelsbergh M. Dynamic programming approximations for a stochastic inventory routing problem. Transportation Science 38 1 (2004) 42-70
18. Mladenović N., and Hansen P. Variable neighborhood search. Computers and Operations Research 24 (1997) 1097-1100