Bello, Adenike O. and Adegun, Adekanmi and Eze, Sunday C. and ALAO, Esther Monisola and Gbadamosi, Babatunde (2018) SUPPLY CHAIN MANAGEMENT: RISK ASSESSMENT IN AUTOMOTIVE INDUSTRY USING FUZZY-AHP MODEL. International Journal of Mechanical Engineering and Technology (IJMET), 9 (12). pp. 552-562. ISSN 0976-6340; 0976-6359
Text
IJMET_09_12_058.pdf - Published Version Download (737kB) |
Abstract
Recent advancement in technology has rapidly increased the activities in the automotive industry from the raw materials supply to the final sales of the finished product. This has led to the complexity in the supply chain management of the automotive industry and has increased the risk level in the industry. In this paper, a Fuzzy –AHP(Analytic Hierarchy Process)model has been used to perform risk assessment in automotive industry. Expert’s opinion in the industry was consulted and some risk factors in automotive industry such as Policy Risk, Supply Risk, Demand Risk, Competitive Risk, Operational Risk, Regulatory Risk and Resources risk were identified and assessed using the proposed model. It was revealed through the assessment carried out that the resources riskwill pose the highest level of risk in automobile industry. The Fuzzy model is adopted because of its ability to overcome vagueness. Review of existing work was carried out. The traditional AHP model and some other existing models were also explored
Item Type: | Article |
---|---|
Subjects: | T Technology > T Technology (General) |
Depositing User: | Mr DIGITAL CONTENT CREATOR LMU |
Date Deposited: | 27 May 2019 13:59 |
Last Modified: | 16 Sep 2019 13:37 |
URI: | https://eprints.lmu.edu.ng/id/eprint/2170 |
Actions (login required)
View Item |