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http://dx.doi.org/10.15207/JKCS.2018.9.7.231

Evaluation on the Procurement Logistics of Automobile Factories Based on the Fuzzy-AHP-TOPSIS  

Kim, Yeong-Geun (Incheon National University, Graduate school of Logistics)
Oh, Jae-Gyeun (Incheon National University, Graduate school of Logistics)
Park, Sung-hoon (Incheon National University, Graduate school of Logistics)
Yeo, Gi-Tae (Incheon National University, Graduate school of Logistics)
Publication Information
Journal of the Korea Convergence Society / v.9, no.7, 2018 , pp. 231-240 More about this Journal
Abstract
Automobile industry is facing a variety of risks, including the rise of international oil price and the increase of car prices. In addition to the government's deregulation, efforts should be made to improve management aiming at higher production efficiency. In this study, we established a model for evaluating the procurement logistics based on the Fuzzy-AHP-TOPSIS by using the factors that are actually used in real companies aimed at the improvement of procurement logistics. A total of three automobile factories of Company G were chosen as the evaluation subject. In the result of the Fuzzy-AHP analysis that was conducted on a sample of three car factories, solving the long-term quality problems, minimizing the stop time due to the shortage of materials, preventing the of equipment accident, and solving the short-term quality problems were proven to be the most important factors. TOPSIS analysis result indicated that Factory B had the best procurement logistics. Our study has significance that it can contribute to the improvement of efficiency in the automobile industry as the evaluation model suggested in this study can be used for regular evaluation related to the procurement logistics in the future.
Keywords
automotive industry; procurement logistics; evaluation model; Fuzzy-AHP; TOPSIS;
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Times Cited By KSCI : 2  (Citation Analysis)
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