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Cited 5 time in webofscience Cited 6 time in scopus
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Modelling the logistic processes using fuzzy decision approach

Authors
Mustafa, SaimaFatimah, IshratJun, Young Bae
Issue Date
Apr-2019
Publisher
HACETTEPE UNIV, FAC SCI
Keywords
Retail logistic processes; Facility location; Decision making; Triangular fuzzy numbers; Best alternative
Citation
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, v.48, no.2, pp 552 - 563
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
Volume
48
Number
2
Start Page
552
End Page
563
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/73355
DOI
10.15672/HJMS.2018.617
ISSN
1303-5010
2651-477X
Abstract
Logistic processes deal with the information about producing and distributing goods and services from one place to another to fulfill the customer requirements. Every kind of business requires the proper functioning of logistic processes for the success of company or organization. In retail businesses, facility location for logistic processes serves as a backbone and the success or a failure of the company depends upon the geographical location of the company. It is a multiple criteria decision making problem involves multiple criteria to analyze the proper location of a company. In this research work, at first, we developed a multi criteria based structural model in retail facility location selection based on logistic processes. Then by using fuzzy modelling technique, the criteria are converted into triangular fuzzy numbers. We have adopted the technique of order preference similarity to ideal solutions for finding the best alternative. We have also applied the sensitivity analysis on the suggested modelling technique and found the same alternative as best with high degree of certainty which confirms the reliability of the proposed modelling technique.
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