Causal factor relations of supply chain competitiveness via fuzzy DEMATEL method for Thai automotive industry
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Khompatraporn C., Somboonwiwat T.
ผู้เผยแพร่: Taylor and Francis Group
ปีที่เผยแพร่ (ค.ศ.): 2017
วารสาร: Production Planning and Control (0953-7287)
Volume number: 28
Issue number: #
หน้าแรก: 538
หน้าสุดท้าย: 551
จำนวนหน้า: 14
นอก: 0953-7287
eISSN: 1366-5871
ภาษา: English-Great Britain (EN-GB)
ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์
บทคัดย่อ
The automotive industry is complex and global. An automotive supply chain involves multiple manufacturers and service providers in different parts of the chain across different countries. Diffusion of the global production system creates both opportunities and challenges for the supply chain itself as well as production base countries. Thailand is a production base for over 15 automotive brands. The industry contributes significantly to the Thai economy and employs approximately half a million people. To address competitiveness of the Thai automotive industry, its supply chain is studied in this paper. Ten factors affecting the competitiveness of the Thai automotive supply chain are analysed through the fuzzy DEMATEL method. The method forms a structural model that categorises the causal or effect roles of the factors, and the degree at which they impact the supply chain. This study focuses on Tier 1 and Tier 2 manufacturers of the supply chain. The results reveal that there are three common causal factors and four common effects in both tiers. The other four factors play different roles in different tiers. Managerial implications relating to these factors are also discussed and certain recommendations proposed in order to enhance the competitiveness of the Thai automotive supply chain. ฉ 2017 Informa UK Limited, trading as Taylor & Francis Group.
คำสำคัญ
automotive industry, causal factors, fuzzy DEMATEL method, Supply chain competitiveness