Multiple-Criteria Decision Making Approach for Pickup Truck Supplier Selection
doi: 10.14456/mijet.2021.7
Keywords:
Supplier Selection, Fuzzy TOPSIS, Automobile industryAbstract
There has been a significant increase in the production and export of several products in Roi-et province, Thailand, recently. Thus, many companies are considering an appropriate supplier for their transportation vehicles to reduce the total transportation cost. The objective of this study is to examine crucial criteria influencing the selection of a pickup truck supplier. Factors affecting a pickup truck supplier selection in this research were reviewed and collected from the literature relating to a supplier selection in automotive and other related industries. All collected criteria were classified into a group systematically and then an analytical hierarchy diagram of pickup truck supplier selection was constructed for the interview process. Sixty-nine respondents, consist of ten respondents in a large business and fifty-nine respondents in a small business, were interviewed using a rating scale questionnaire. Rank order centroid (ROC) was considered as an appropriate method for weighting the criteria. After that, a Fuzzy TOPSIS technique was used as a decision-making tool to select the most suitable pickup truck supplier in this problem. The results revealed that the product quality and price are considered as the most important criterion, while maintainability and customer relationship have gained more attention from customer. In addition, it can be found that supplier B is the best supplier among four main suppliers in Thailand.
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