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Fuzzy bi-objective model for hazardous materials routing and scheduling under demand and service time uncertainty

Author

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  • Kamran S. Moghaddam
  • Jalil Kianfar

Abstract

We develop a fuzzy-based bi-objective optimisation model for hazardous materials (hazmat) vehicle routing and scheduling problem with time windows. The task is to find optimal links and routes to maintain a balance between safe and fast distribution of hazmats between origins and destinations through a transport network. We consider unknown probabilities for hazmat incidents along with a game-theoretic demon approach in a link-based model. Using the Nash game theory approach, an integrated routing and scheduling hazmat shipment problem is formulated. Since the formulated problem is a bi-objective model with travel time and population risk objectives, we also propose a solution method based on a hybrid Monte-Carlo simulation and fuzzy goal programming to obtain the set of Pareto optimal solutions. Computational results of a carefully crafted numerical example are also provided to illustrate the effectiveness of the developed mathematical model and the solution method in obtaining Pareto-optimal solutions.

Suggested Citation

  • Kamran S. Moghaddam & Jalil Kianfar, 2021. "Fuzzy bi-objective model for hazardous materials routing and scheduling under demand and service time uncertainty," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 41(4), pages 535-568.
    • Handle: RePEc:ids:ijores:v:41:y:2021:i:4:p:535-568
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