Trading off supply chain risk and efficiency through supply chain design

Procedia Computer Science

Volumn 16, Issue , 2013, Pages 658-667

  Goetschalckx, Marc ^a   Huang, Edward ^b   Mital, Pratik ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGE MASON UNIVERSITY   (United States)

Author keywords

Pareto optimization; Risk management; Supply chain design

Indexed keywords

EID: 84898766591     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.01.069     Document Type: Conference Paper

References (7)

1. Economist. 2011. "Japan and the global supply chain: broken links." Economist, 02-Apr-2011.
2. Juttner, U. 2005. Supply chain risk management - understanding the business requirements from a practitioner perspective. The International Journal of Logistics Management 16(1) 120-141.
3. Markowitz, H. M. 1991. Foundations of Portfolio Theory. The Journal of Finance. 46(2) 469-477.
4. Santoso, T., S. Ahmed, M. Goetschalckx, A. Shapiro. 2005. A stochastic programming approach for supply chain network design under uncertainty. European Journal of Operational Research. 167(1) 96-115.
5. Ulstein, N. L., M. Christiansen, R. Grønhaug, N. Magnussen, M. M. Solomon. 2006. Elkem Uses Optimization in Redesigning its Supply Chain. Interfaces. 36(4) 314-325.
6. Eppen, G., M. R. Kipp, L. Schrage. 1989. A Scenario Approach to Capacity Planning. Operations Research. 37, 517-527.
7. Azaron, A., K.N. Brown, S.A. Tarim, M. Modarres. 2008. A multi-objective stochastic programming approach for supply chain design considering risk. Int. J. Production Economics. 116 (2008) 129-138.