Supply Chain Risk Prioritization Using a Hybrid MCDM Approach

S. Prasanna Venkatesan; Somasundaram Kumanan

doi:10.4028/www.scientific.net/AMR.488-489.406

Paper Titles

Synthesis, Characterization and Investigation of the Third Order Nonlinear Optical Properties of Pyrrole Schiff Bases
p.377

Some New Results for the Study of Acoustic Radiation within a Uniform Subsonic Flow Using Boundary Integral Method
p.383

Investigating the Effects of Powder Mixed Electrical Discharge Machining on the Surface Quality of γ–TiAl Intermetallic
p.396

Surface Cleaning of 4H-SiC Using Hydrogen Plasma
p.402

Supply Chain Risk Prioritization Using a Hybrid MCDM Approach
p.406

A Model for IT/IS Project Portfolio Selection in the Presence of Uncertainty: Combination of Fuzzy Multi-Criteria Decision Making and Fuzzy Mathematical Programming
p.411

A Node Mobile Handoff Model Based on Resource Allocation in Wireless Mobile Networks
p.417

Coating Life Assessment: The Use of Adhesion Strength in Parametric Development in Coating Degradation Evaluation
p.427

Effect of N₂ Flow Rate on Structure and Morphology of (Ti,Cr)N Thin Films Deposited by Unbalanced Magnetron Co-Sputtering
p.432

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 488-489Supply Chain Risk Prioritization Using a Hybrid...

Supply Chain Risk Prioritization Using a Hybrid MCDM Approach

Abstract:

In recent years, supply chains have become increasingly vulnerable to risks resulting in poor financial performance and customer service. Managing the supply chain risks is a challenging task. Resilience and responsiveness based strategies are being attempted to build a robust supply chain. To select the appropriate mitigation strategies, supply chain risks are to be prioritized. Supply chain risk prioritization is a Multi Criteria Decision Making (MCDM) problem. MCDM models for supply chain risk prioritization needs attention. In this research, a hybrid Analytic Hierarch Process (AHP) and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) approach is proposed for supply chain risk prioritization. A case example of a typical tractor industry is presented to illustrate the performance of the proposed approach.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 488-489)

Pages:

406-410

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.488-489.406

Citation:

Cite this paper

Online since:

March 2012

Authors:

S. Prasanna Venkatesan, Somasundaram Kumanan

Keywords:

Hybrid AHP, Hybrid PROMETHEE, Multi Criteria Decision Making, Supply Chain Risk Management, Supply Chain Risk Prioritization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Tang, C.S. Robust strategies for mitigating supply chain disruptions, International Journal of Logistics: Research and Applications, Vol. 9 (2006), pp.33-45.

DOI: 10.1080/13675560500405584

Google Scholar

[2] Faisal, M.N. Benchmarking supply chains on risk dimensions, International Journal of Services and Operations Management, Vol. 5, (2009), pp.402-427.

DOI: 10.1504/ijsom.2009.024153

Google Scholar

[3] Lavastre, O. Gunasekaran, A., and Spalanzani, A. (2011) Supply chain risk Management in French companies, Decision Support Systems, In press.

DOI: 10.1016/j.dss.2011.11.017

Google Scholar

[4] Chopra, S. and Sodhi, M.S. Managing risk to avoid supply-chain breakdown, MIT Sloan Management Review, Vol. 46, (2004), pp.52-61.

Google Scholar

[5] Pfohl, H-C., Kohler, H and Thomas, D. State of the art in supply chain risk management research: empirical and conceptual findings and a roadmap for the implementation in practice', Logistics Research, Vol. 2, (2010), pp.33-44.

DOI: 10.1007/s12159-010-0023-8

Google Scholar

[6] Thun, J.H. and Hoenig, D. An empirical analysis of supply chain risk management in the German automotive industry, International Journal of Production Economics, Vol.131, (2011), pp.242-249.

DOI: 10.1016/j.ijpe.2009.10.010

Google Scholar

[7] Sheffi, Y. Building a Resilient Organization, The Bridge, Vol. 37, (2007), pp.30-36.

Google Scholar

[8] Blackhurst, J., Craighead, C.W., Elkins, D. and Handfield, R.B. An empirically derived agenda of critical research issues for managing supply chain disruptions, International Journal of Production Research, Vol. 43, (2005), pp.4067-4081.

DOI: 10.1080/00207540500151549

Google Scholar

[9] Behzadian, M., Samizadeh R. and Nazemi J. Decision making in house of quality: A hybrid AHP-PROMETHEE approach', Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)-Macau, China, pp.930-934. (2010).

DOI: 10.1109/ieem.2010.5674213

Google Scholar