Trailer Vendor Selection with Fuzzy-Quality Function Deployment (Fuzzy-QFD) Approach and Goal Programming (Case Study: Krakatau Argo Logistics Inc.)
- DOI
- 10.2991/aer.k.220131.048How to use a DOI?
- Keywords
- Fuzzy-QFD; Vendor Selection; Goal Programming; Quality Function Deployment
- Abstract
Krakatau Argo Logistics Inc. (KAL Inc.) is a company that works in the field of multimodal transportation business services. Currently, the selection of KAL Inc. trailer vendors is only based on the availability and intuition of decision-makers. Therefore, it is necessary to do research this trailer vendor selection using the fuzzy-quality function deployment (fuzzy-QFD) approach and goal programming. The results obtained from the fuzzy-QFD method are the scores and rankings of each existing trailer vendor. For GPG Inc. is ranked 1 with a score of 471.21, JS Inc. is ranked 2nd with a score of 451.91, LAA Inc. is ranked 3rd with a score of 424.12, KSK Inc. is ranked 4th with a score of 395.9, ISLC Inc. is ranked 5th with a score of 391.33, SBW Inc. is in 6th place with a score of 385.95, and PSJ Inc. is ranked 7th with a score of 361.24. After obtaining a score for each vendor, a programming objective is calculated to determine which trailer vendor is used for a project. LAA Inc. of 2000 tons, ISLC Inc. of 1000 tons, JS Inc.of 4000 tons, KSK Inc. of 2000 tons, and GPG Inc. 4000 tons.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Asep Ridwan AU - Ade Irman AU - Ahmad Aji Abadi AU - Didi Suhendi AU - Fatah Sulaiman PY - 2022 DA - 2022/02/01 TI - Trailer Vendor Selection with Fuzzy-Quality Function Deployment (Fuzzy-QFD) Approach and Goal Programming (Case Study: Krakatau Argo Logistics Inc.) BT - Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021) PB - Atlantis Press SP - 312 EP - 322 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.220131.048 DO - 10.2991/aer.k.220131.048 ID - Ridwan2022 ER -