Abstract
The tremendous use of hazardous materials has promoted the economic development, which also brings about a growing risk causing a widespread concern. In this work, we consider a location-scheduling problem on hazardous materials transportation under the assumption that transportation risks are time-dependent fuzzy random variables. First, we formulate a scheduling optimization model and design a fuzzy random simulation based genetic algorithm to optimize the departure time and dwell times for each depot-customer pair. Then we establish an expected value model and design a modified particle swarm optimization algorithm to minimize the en route risks and site risks. Finally, numerical examples are given to illustrate the effectiveness of the proposed models and algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 146-165 |
| Number of pages | 20 |
| Journal | Transportation Research Part C: Emerging Technologies |
| Volume | 57 |
| DOIs | |
| Publication status | Published - 4 Jul 2015 |
| Externally published | Yes |
Keywords
- Expected value model
- Fuzzy random variable
- Hazardous materials transportation
- Modified particle swarm optimization algorithm
- Time-dependent location-scheduling problem
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