Simultaneous Routing and Siting for Hazardous‐Waste Operations

Jacobs, Timothy L.; Warmerdam, John M.

doi:10.1061/(asce)0733-9488(1994)120:3(115)

Cited by 57 publications

(22 citation statements)

References 5 publications

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“…Only Jacobs and Warmerdam (1994) investigate the problem in multi-period context, and Berglund and Kwon (2014) is the only research paper that takes into account the uncertainty of demand. This gap would be addressed in future research.…”

Section: Literature Reviewmentioning

confidence: 99%

A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study

et al. 2016

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This paper proposes a model for obnoxious waste location-routing problem (LRP) considering various types of wastes and several treatment technologies. The investigated distribution network includes three echelons of generation nodes, treatment and disposal facilities. A multi-objective LRP model is developed with three objective functions minimizing the treatment and disposal facility undesirability, different costs related to the problem, and eventually the risk associated with transportation of untreated materials. An effective memetic algorithm is developed in which a tabu search algorithm performs the local search. Comparison of exact and meta-heuristic methods run times confirms that the proposed method is effective. Eventually, the developed algorithm is tested on a real-life case study.

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Section: Literature Reviewmentioning

confidence: 99%

A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study

et al. 2016

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“…Jacobs and Warmerdam [13] modeled the hazardous materials LRP as a continuous network flow problem with minimizing the linear combination of cost and risk. It is likely that List and Mirchandani [14] firstly considered risk equity as one of the objectives of their model.…”

Section: ) Location and Routing Problem For Hazardous Materials Tranmentioning

confidence: 99%

A multi-objective model for the hazardous materials transportation problem based on lane reservation

Zhou

Che

Mammar

2012

Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control

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Abstract-This paper presents an application of the lane reservation strategy in the hazardous materials transportation. Once an accident of hazardous materials transportation happens, its effect is significant. Lane reservation can reduce the hazardous materials transportation risk enormously; however, it will also impact on the normal traffic. The proposed problem is to choose lanes to be reserved on the network and select the path for each hazardous materials shipment among the reserved lanes in order to make a trade-off between the impact on the normal traffic and the total risk of the hazardous materials transportation. We first develop a multi-objective integer linear programming model for the problem with multiple types of hazardous materials and multiple origin-destination pairs. Then we adopt the ε-constraint method to solve the multi-objective model. The performance of the method is evaluated on a large set of randomly generated instances. Computational results show that the ε-constraint method can not only solve the proposed problems within reasonable time but also generate candidate solutions that can shape an efficient Pareto front for the multiobjective optimization problem.

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“…Table 2c. A classification of hazmat transportation models -combined facility location and routing Alumur and Kara, 2007;Cappanera et al, 2004;Berman et al, 2000;Giannikos, 1998 M ;Helander and Melachrinoudis, 1997;List and Turnquist, 1998;Current and Ratick, 1995 M ;Jacobs and Warmerdam, 1994;Boffey and Karkazis, 1993;Stowers and Palekar, 1993;List and Mirchandani, 1991 M ;List et al, 1991 U ;ReVelle et al, 1991;Zografos and Samara, 1989;Peirce and Davidson, 1982;Shobrys, 1981 M multiobjective;…”

Section: Classificationmentioning

confidence: 99%