A mathematical model for perishable products with price- and displayed-stock-dependent demand

Onal, M.; Yenipazarli, A.; Kundakcıoğlu, Ömer Erhun

dc.contributor.author	Onal, M.
dc.contributor.author	Yenipazarli, A.
dc.contributor.author	Kundakcıoğlu, Ömer Erhun
dc.date.accessioned	2017-01-24T05:48:49Z
dc.date.available	2017-01-24T05:48:49Z
dc.date.issued	2016-12
dc.identifier.issn	0360-8352	en_US
dc.identifier.uri	http://hdl.handle.net/10679/4717
dc.identifier.uri	http://www.sciencedirect.com/science/article/pii/S0360835216304181
dc.description.abstract	We introduce an economic order quantity model that incorporates product assortment, pricing and space-allocation decisions for a group of perishable products. The goal is to maximize the retailer’s profit under shelf-space and backroom storage capacity constraints. We assume that the demand rate of a product is a function of the selling prices and the displayed stock levels of all the products in the assortment. We propose a Tabu Search based heuristic method to solve this complex problem.	en_US
dc.language.iso	eng	en_US
dc.publisher	Elsevier	en_US
dc.relation.ispartof	Computers & Industrial Engineering	en_US
dc.rights	restrictedAccess
dc.title	A mathematical model for perishable products with price- and displayed-stock-dependent demand	en_US
dc.type	Article	en_US
dc.peerreviewed	yes	en_US
dc.publicationstatus	published	en_US
dc.contributor.department	Özyeğin University
dc.contributor.authorID	(ORCID 0000-0003-3033-0986 & YÖK ID 124068) Kundakcıoğlu, Erhun
dc.contributor.ozuauthor	Kundakcıoğlu, Ömer Erhun
dc.identifier.volume	102	en_US
dc.identifier.startpage	246	en_US
dc.identifier.endpage	258	en_US
dc.identifier.wos	WOS:000390502800022
dc.identifier.doi	10.1016/j.cie.2016.11.002	en_US
dc.subject.keywords	Inventory management	en_US
dc.subject.keywords	Portfolio	en_US
dc.subject.keywords	Pricing	en_US
dc.subject.keywords	Optimization	en_US
dc.subject.keywords	Shelf space allocation	en_US
dc.identifier.scopus	SCOPUS:2-s2.0-84995686974
dc.contributor.authorMale	1
dc.relation.publicationcategory	Article - International Refereed Journal - Institutional Academic Staff