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Supplier Selection by Topsis Methods Pilot Study From Iran

BROWSE_DETAIL_CREATION_DATE: 28-02-2017

BROWSE_DETAIL_IDENTIFIER_SECTION

BROWSE_DETAIL_TYPE: Thesis

BROWSE_DETAIL_SUB_TYPE: Masters

BROWSE_DETAIL_PUBLISH_STATE: Unpublished

BROWSE_DETAIL_FORMAT: PDF Document

BROWSE_DETAIL_LANG: English

BROWSE_DETAIL_SUBJECTS: Commerce, Commodities. Commercial products, By region or country,

BROWSE_DETAIL_CREATORS: Gholamrezanezhad, Farshid (Author),

BROWSE_DETAIL_CONTRIBUTERS: Erdebilli, Babek (Advisor),

BROWSE_DETAIL_TAB_KEYWORDS

Supplier Selection (SS), Multi-Criteria Decision-Making (MCDM), the Analytic Hierarchy Process (AHP), Analytic Hierarchy Process (ANP), Elimination and Choice Corresponding to Reality (ELECTRE),iiTechnique for Order of Perference by Similarity to Ideal Solution (TOPSIS)


BROWSE_DETAIL_TAB_ABSTRACT

This thesis provides a statement of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for the Multi-Criteria Decision-Making (MCDM) problem, and reviews the Supplier Selection (SS). The SS is figured out by MCDM methods and all the comparisons and discussions about SS held in brief. The study employs an evaluation methodology based on TOPSIS. The supplier selection problem is formulated utilizing the TOPSIS and then utilized to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. The present model provides an accurate and easy classification of supplier variables using a TOPSIS model. A numerical example is given to clarify the results improved in this case.


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