Risk Assessment Using the AHP Method in the Automotive Industry

Abstract:

Modern cars consist of approximately thirty thousand parts and components; their assembly in an assembly plant is preceded by the supply via an optimally functioning supply chain. Ramification of this chain depends on a car model and equipment; however, the number of direct and indirect suppliers often reaches approximately one hundred and more. That is why perfect mutual cooperation among these suppliers is required while applying the logistic, managerial, as well as information methods to increase the efficiency and eliminate the production down-time. Over the past years, number of events forced major car manufacturers to reassess the supply chain flexibility in high-risk situations.The main objective of this study is to identify weak, high-risk sides of the supply chain and assess them applying the AHP method which represents an efficient tool of multiple-criteria decision making.

• Periodical: Applied Mechanics and Materials (Volume 718)
• Pages: 44-49
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.718.44
• Online since: December 2014
• Authors: Daniela Marasová, Miriam Andrejiová, Anna Grinčová, Peter Grendel
• Keywords: AHP Method, Risks, Supply Chain

References

[1] R. H. Ballou: Business Logistics, Supply Chain Management (2003).

[2] D. Malindžák: Designing logistics systems (theory and practice) Kosice (2005).

[3] B. E. Asbjørnslett: Assessing the Vulnerability of Supply Chains using graph theory, Supply Chain Risk - A Handbook of Assessment, Management and Performance, 15-33 (2009).

DOI: 10.1007/978-0-387-79934-6_2

[4] J. Thun, D. Hoenig: An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, Vol. 131 Issue 1 (2011) 242–249.

DOI: 10.1016/j.ijpe.2009.10.010

[5] P. Woolliscroft, D. Caganova, M. Cambal, J. Holecek, L. Pucikova: Implications for Optimalisation of the Automotive Supply Chain Through Knowledge, Procedia CIRP, Forty Sixth CIRP Conference on Manufacturing Systems. Vol. 7 (2013) 211-216.

DOI: 10.1016/j.procir.2013.05.036

[6] D. J. Johnson, J.V. Blackhurst, K.P. Scheibe: Supplier risk assessment and monitoring for the automotive industry, Supply Chain Risk Management . Issue 2, 38 (2008)143-165.

DOI: 10.1108/09600030810861215

[7] Manuj , J. T. Mentzer: Global Supply Chain Risk Management, Journal of Business Logistics, Vol. 29 (2008)133–155.

DOI: 10.1002/j.2158-1592.2008.tb00072.x

[8] M. Straka: Logistics distribution, How to effectively get the product to market, 1st Edition, EPOS, Bratislava (2013).

[9] J. Šaderová: Example of using multi-criteria evaluation for the selection of the transport system, Acta Logistica Moravica 3(2) (2013) 86-93.

[10] Fiala, P., Jablonský, J., Maňas, M.: Multicriteria decision making (1994).

[11] Fotr, J., Švecová, L. Et al.: Managerial decision making. Procedures in Methods and tools (2010).

[12] Šubrt, T. Et al.: The methods of Mathematical Economics (2011).