Transshipment problem with fuzzy customer demands and fuzzy inventory costs

Mohamed Hmiden, Lamjed Ben Said and Khaled Ghédira

International Journal of Management and Decision Making, 2014, vol. 13, issue 1, 99-118

Abstract: We consider a supply chain consisting of a supplier and locations selling an innovative product. These locations could collaborate together by transshipment which is known as product transferring adopted mainly to reduce inventory costs and to improve customer service level. In this research, we are interested in the transshipment problem where the customer demands, the holding and the shortage costs are uncertain and represented by fuzzy sets. Our objectives are to propose a transshipment policy that takes into account the fuzziness of the mentioned parameters and to derive the approximate replenishment quantities. In order to achieve these objectives, we propose a transshipment decision process considering decision makers attitudes towards risks and a hybrid algorithm based on fuzzy simulation and genetic algorithm designed to determine the approximate replenishment quantities.

Keywords: transshipment policy; uncertain environment; fuzzy customer demands; fuzzy holding costs; fuzzy shortage costs; decision making; risk assessment; fuzzy simulation; genetic algorithms; fuzzy logic; fuzzy inventory costs; supply chain management; SCM; replenishment policy. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=58467 (text/html)
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:ids:ijmdma:v:13:y:2014:i:1:p:99-118

Access Statistics for this article

More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().