Modeling and simulating supply chain schedule risk

Proceedings - Winter Simulation Conference

Volumn , Issue , 2010, Pages 3472-3481

  Finke, Gandolf R ^a   Schmitt, Amanda J ^b   Singh, Mahender ^b  

^a ETH ZURICH   (Switzerland)

^b Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE EVENTS; RISK FACTORS; RISK SCENARIOS; SUPPLY CHAIN PERFORMANCE; SUPPLY-CHAIN DISRUPTIONS;

PLANNING; PROJECT MANAGEMENT; RISK PERCEPTION; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

COMPUTER SIMULATION;

EID: 79951595597     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2010.5679036     Document Type: Conference Paper

References (9)

1. Daniels, R.L., and P. Kouvelis. 1995. Robust scheduling to hedge against processing time uncertainty in single-stage production. Management Science 41(2):363-376.
2. Deleris, L. A., and F. Erhun. 2005. Risk management in supply networks using monte-carlo simulation. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong and J. A. Joines, 1643-1649. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
3. Graves, S. C. 1981. A Review of Production Scheduling. Operations Research 29 (4):646-675.
4. Isidore, L.J., W.E. Back, and G.T. Fry. 2001. Integrated probabilistic schedules and estimates from project simulated data. Construction Management & Economics 19(4):417-426. (Pubitemid 32548459)
5. Law, A. 2003. How to conduct a successful simulation study. In Proceedings of the 2003 Winter Simulation Conference, ed. S. Chick, J. Sanchez, D. Ferrin, and D.J. Morrice, 66-70. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
6. Mulholland, B., and J. Christian. 1999. Risk assessment in construction schedules. Journal of Construction Engineering and Management 125(1):8-15.
7. Schmitt, A. J., and M. Singh. 2009a. Quantifying supply chain disruption risk using Monte Carlo and discrete-event simulation. In Proceedings of the 2009 Winter Simulation Conference, ed. M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin, and R. G. Ingalls, 1237-1248. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
8. Schmitt, A. J., and M. Singh. 2009b. A quantitative analysis of disruption risk in a multi-echelon supply chain. Working paper, Center for Transportation and Logistics, MIT, Cambridge, MA.
9. Snyder, L.V., and Z .J. M. Shen. 2006. Supply and demand uncertainty in multi-echelon supply chains. Working paper, P.C. Rossin College of Engineering and Applied Sciences, Lehigh University, Bethlehem, PA.