A Hybrid Multi-Criteria Decision-Making Method Proposal For The Solution Of The Packaging Supplier Selection Problem

Selection or evaluation problems are solved by looking at the different performance factors of the suppliers along the supply chain and by making comparisons with each other, and it is ensured that important preliminary information about the suppliers is obtained. This study has been prepared in ord...

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Bibliographic Details
Main Author: Özlem Karadağ Albayrak
Format: Article
Language:deu
Published: Mustafa Süleyman ÖZCAN 2021-06-01
Series:İtobiad
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/1429703
Description
Summary:Selection or evaluation problems are solved by looking at the different performance factors of the suppliers along the supply chain and by making comparisons with each other, and it is ensured that important preliminary information about the suppliers is obtained. This study has been prepared in order to choose the most suitable supplier among the suppliers that provide / are candidates to provide packaging material for an enterprise producing goodsDecision processes may not always have precision due to differences of opinion arising from human behaviour. When supplier selection problems are solved, many criteria, such as different opinions of decision-makers and their conflict of interests are considered. Multi-Criteria Decision Making (MCDM) techniques are highly effective in finding solutions to such problems. The goal of this article was to find a solution to packaging supplier selection problem of a manufacturing company in a fuzzy environment. To this end, eight suppliers were examined in line with 15 evaluation criteria. The opinions of 4 different decision-makers were taken during decision-making process. The solution of the problem was based upon a mixed model consisting of Fuzzy Analytic Hierarchy Process (F-AHP), used to determine the weights of the criteria, and Fuzzy Weighted Aggregated Sum Product Assessment (F-WASPAS), utilised to make preference among alternatives. At the end of the analysis on the determination of the criteria weights, the most appropriate supplier selection was determined as the delivery date and price, respectively, the two factors most influencing the construction phase. As a result of the evaluation made, A2 was specified to be the most proper supplier. Sensitivity analysis was performed to identify the effectiveness of the results. A2 was determined to be the most proper supplier according to the selection results obtained by MARCOS, MABAC, SAW, ARAS, TOPSIS, EDAS methods.
ISSN:2147-1185