E
Ezgi Aktar Demirtas
Researcher at Eskişehir Osmangazi University
Publications - 22
Citations - 1015
Ezgi Aktar Demirtas is an academic researcher from Eskişehir Osmangazi University. The author has contributed to research in topics: Analytic network process & Data envelopment analysis. The author has an hindex of 7, co-authored 22 publications receiving 939 citations.
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Journal ArticleDOI
An integrated multiobjective decision making process for supplier selection and order allocation
Ezgi Aktar Demirtas,Ozden Ustun +1 more
TL;DR: In this paper, an integrated approach of analytic network process (ANP) and multi-objective mixed integer linear programming (MOMILP) is proposed to consider both tangible and intangible factors in choosing the best suppliers and define the optimum quantities among selected suppliers to maximize the total value of purchasing and minimize the budget and defect rate.
Journal ArticleDOI
Analytic network process and multi-period goal programming integration in purchasing decisions
Ezgi Aktar Demirtas,Ozden Ustun +1 more
TL;DR: This paper presents a multi-period inventory lot sizing scenario, where there is single product and multiple suppliers, and an integrated approach of Archimedean Goal Programming (AGP) and Analytic Network Process (ANP) is suggested to solve the order allocation problem.
Journal ArticleDOI
An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection
Ozden Ustun,Ezgi Aktar Demirtas +1 more
TL;DR: An integrated approach of analytic network process (ANP) and multi-objective mixed integer linear programming (MOMILP) is proposed which defines the optimum quantities among selected suppliers to maximize the total value of purchasing (TVP), and to minimize the total cost and total defect rate.
Journal ArticleDOI
Multi-period lot-sizing with supplier selection using achievement scalarizing functions
Ozden Ustun,Ezgi Aktar Demirtas +1 more
TL;DR: An integration of Analytic Network Process (ANP) and achievement scalarizing functions is proposed to choose the best suppliers and define the optimum quantities among the selected suppliers by considering tangible-intangible criteria and time horizon.
Journal ArticleDOI
Determination of optimal product styles by ordinal logistic regression versus conjoint analysis for kitchen faucets
TL;DR: In this article, a two-stage integrated approach is proposed and implemented to explore user perceptions about kitchen faucet styles and to find optimal levels of design parameters related to product appearance.