The Optimal Order Policy for a Capacitated Multiple Product Inventory System Under Symmetry
Yi Feng (),
Shaoxiang Chen () and
Wenqiang Dai ()
Additional contact information
Yi Feng: School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, P. R. China, 610054, P. R. China
Shaoxiang Chen: Nanyang Business School, Nanyang Technological University, Singapore, 639798, Singapore
Wenqiang Dai: School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, P. R. China, 610054, P. R. China
Asia-Pacific Journal of Operational Research (APJOR), 2015, vol. 32, issue 02, 1-17
Abstract:
Although many researches have conjectured the optimality of the hedging point policy for the multiple-product stochastic capacitated periodic review problem, it is still a challenge to prove the hypothesis. This paper considers a special case of the capacitated multiple-product periodic review problem where stochastic demand distribution, production rate, unit production cost and periodic expected inventory cost are the same for all different products. For this symmetric problem, we prove an optimal policy where ordering and non-ordering regions for every product are defined. Our research provides significant implications to the characterization of the optimal policy for the general problem.
Keywords: Stochastic programming; multiple-product; capacitated; periodic review; optimality (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0217595915500050
Access to full text is restricted to subscribers
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:wsi:apjorx:v:32:y:2015:i:02:n:s0217595915500050
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0217595915500050
Access Statistics for this article
Asia-Pacific Journal of Operational Research (APJOR) is currently edited by Gongyun Zhao
More articles in Asia-Pacific Journal of Operational Research (APJOR) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().