Name
Abstract | ||
|---|---|---|
General Motors (GM) has developed a first proof-of-concept simulation model to explore impacts of various fire events in automotive paint shop operations. The approach uses a chronological event tree structure to assess effectiveness of various fire protection options to reduce the potential for significant property damage and loss of production capability. For confidentiality purposes, GM has disguised the numerical data presented in this case study. GM is seeking advice from the simulation community on modeling questions related to input distribution modeling, and correlation structure among input random variables. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1351542.1351597 | Winter Simulation Conference |
Keywords | Field | DocType |
risk management,tree structure,proof of concept,simulation model,random variable | Event tree,Random variable,Fire protection,Confidentiality,General motors,Computer science,Simulation,Risk management,Fire risk,Automotive paint | Conference |
ISBN | Citations | PageRank |
1-4244-1306-0 | 2 | 0.37 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debra A. Elkins | 1 | 13 | 1.92 |
| A. Christine LaFleur | 2 | 2 | 0.37 |
| Earnest Foster | 3 | 7 | 1.62 |
| Jeffrey D. Tew | 4 | 469 | 82.49 |
| Bahar Biller | 5 | 452 | 72.34 |
| James R. Wilson | 6 | 840 | 143.42 |