 Fuzzy bi-objective model for hazardous materials routing and scheduling under demand and service time uncertaintyKamran S. Moghaddam and Jalil Kianfar International Journal of Operational Research, 2021, vol. 41, issue 4, 535-568 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. Keywords: hazardous material; VRPTW; fuzzy multi-objective optimisation; fuzzy goal programming; FGP. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:41:y:2021:i:4:p:535-568 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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