Fuzzy and multiobjective purchase and transportation planning for food retailing: case study in Japan

Masatoshi Sakawa, Ichiro Nishizaki and Takeshi Matsui

International Journal of Multicriteria Decision Making, 2013, vol. 3, issue 2/3, 277-300

Abstract: This paper considers purchase and transportation planning for food retailing in Japan, and formulates a linear programming problem where the profit of a food retailer is maximised. The food retailer deals with vegetables and fruits which are purchased at the central wholesale markets in several cities, and transports them by truck from each of the central wholesaler markets to the food retailer's storehouse. Having examined the optimal solution to the formulated linear programming problem, in view of the recent global warming issue, a single objective problem is reformulated as a multiobjective one. Furthermore, introducing the fuzzy goals of the decision maker, through an interactive fuzzy satisficing method, a satisficing solution for the decision maker is derived efficiently by updating the reference membership levels.

Keywords: purchasing problems; food retailing; linear programming; fuzzy programming; multiobjective programming; interactive programming; Japan; transport planning; fruit and vegetables; global warming. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=53732 (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:ijmcdm:v:3:y:2013:i:2/3:p:277-300

Access Statistics for this article

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