Multimodularity and Its Applications in Three Stochastic Dynamic Inventory Problems
Qing Li () and
Peiwen Yu ()
Additional contact information
Qing Li: School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Peiwen Yu: School of Management, Fudan University, 200433 Shanghai, China
Manufacturing & Service Operations Management, 2014, vol. 16, issue 3, 455-463
Abstract:
We apply the concept of multimodularity in three stochastic dynamic inventory problems in which state and decision variables are economic substitutes. The first is clearance sales of perishable goods. The second is sourcing from multiple suppliers with different lead times. The third is transshipment under capacity constraints. In all three problems, we establish monotone optimal polices with bounded sensitivity. Multimodularity proves to be an effective tool for these problems because it implies substitutability, it is preserved under minimization, and it leads directly to monotone optimal policies with bounded sensitivity.
Keywords: dynamic programming; multimodularity; substitutability and complementarity; stochastic inventory models (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)
Downloads: (external link)
http://dx.doi.org/10.1287/msom.2014.0488 (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:ormsom:v:16:y:2014:i:3:p:455-463
Access Statistics for this article
More articles in Manufacturing & Service Operations Management from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().