Bi-objective decision support system for routing and scheduling of hazardous materials

Rojee Pradhananga, Eiichi Taniguchi, Tadashi Yamada and Ali Gul Qureshi

Socio-Economic Planning Sciences, 2014, vol. 48, issue 2, 135-148

Abstract: This paper presents a Pareto-based bi-objective optimization of hazardous materials vehicle routing and scheduling problem with time windows and shows its application to a realistic hazardous material logistics instance. A meta-heuristic solution algorithm is also proposed, which returns a set of routing solutions that approximate the frontier of the Pareto optimal solutions based on total scheduled travel time and total risk of whole transportation process. It works in a single-step fashion simultaneously constructing the vehicle route and selecting the optimal paths connecting the routed locations from a set of non-dominated paths obtained in terms of travel time and risk value.

Keywords: Hazardous material; Vehicle routing and scheduling problem with time windows; Multi-objective optimization; Realistic logistics instance (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:48:y:2014:i:2:p:135-148

DOI: 10.1016/j.seps.2014.02.003

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