Fairness in hazmat routing-scheduling: A bi-objective Stackelberg game

•A hazmat routing-scheduling problem is formulated as a bi-objective game.•A FIFO discipline is applied to waiting places to keep fairness among dispatchers.•Risk and travel time objectives are included to embed the planner’s risk attitude.•By solving the problem with a modified ALNS on a real case,...

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Veröffentlicht in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2020-08, Vol.140, p.102006, Article 102006
Hauptverfasser: Mohri, Seyed Sina, Asgari, Nasrin, Zanjirani Farahani, Reza, Bourlakis, Michael, Laker, Benjamin
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Sprache:eng
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Zusammenfassung:•A hazmat routing-scheduling problem is formulated as a bi-objective game.•A FIFO discipline is applied to waiting places to keep fairness among dispatchers.•Risk and travel time objectives are included to embed the planner’s risk attitude.•By solving the problem with a modified ALNS on a real case, insights are presented. We investigate a hazmat routing-scheduling problem. To minimize the overall expected risk, various vehicles may take different routes/schedules to avoid multiple accidents on the same link. Therefore, the company envisages two issues: (1) unfairly, a vehicle departing earlier from its origin may arrive earlier at its destination than the others leaving later; (2) focusing only on the minimization of risk may increase travel time/cost incurred by the company. We suggest a bi-objective game-theoretic formulation and solve it by a modified Adaptive Large Neighborhood Search and Simulated Annealing. We test the solution on a real-life case and extract practical insights.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2020.102006