Computing Nested Reorder Intervals for Multi-Item Distribution Systems
Robin O. Roundy
Additional contact information
Robin O. Roundy: Cornell University, Ithaca, New York
Operations Research, 1990, vol. 38, issue 1, 37-52
Abstract:
We consider a multistage, multi-item distribution system in which each of a number of items is stocked at each of a number of locations. The cost of placing an order at a location depends on the set of items ordered there. Demand for the items is constant, and there is a linear holding cost for each item at each location. Only nested policies are considered. A known heuristic is guaranteed to find a policy that is within 2% of optimal. However, if there are M items and L locations the running time of the heuristic is O ( M 4 L 4 ). We improve the running time to O ( MLD log( ML )) where D is at most the maximum of the depth of the location and family arborescences.
Keywords: production/inventory: heuristics; multi-item multistage; deterministic approximations (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.38.1.37 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:38:y:1990:i:1:p:37-52
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().