A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems

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A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. / Zografos, Konstantinos; Androutsopoulos, Konstantinos N.
In: European Journal of Operational Research, Vol. 152, No. 2, 16.01.2004, p. 507-519.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zografos, K & Androutsopoulos, KN 2004, 'A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems', European Journal of Operational Research, vol. 152, no. 2, pp. 507-519. https://doi.org/10.1016/S0377-2217(03)00041-9

APA

Zografos, K., & Androutsopoulos, K. N. (2004). A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. European Journal of Operational Research, 152(2), 507-519. https://doi.org/10.1016/S0377-2217(03)00041-9

Vancouver

Zografos K, Androutsopoulos KN. A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. European Journal of Operational Research. 2004 Jan 16;152(2):507-519. doi: 10.1016/S0377-2217(03)00041-9

Author

Zografos, Konstantinos ; Androutsopoulos, Konstantinos N. / A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. In: European Journal of Operational Research. 2004 ; Vol. 152, No. 2. pp. 507-519.

Bibtex

@article{a623c133f6c74cf1a1bcc86a99c61272,

title = "A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems",

abstract = "A type of decision of major importance that directly affects the performance of a distribution system is the routing and scheduling of delivery trucks. The determination of hazardous materials distribution routes can be defined as a bi-objective vehicle routing problem with time windows since risk minimization accompanies the cost minimization in the objective function. The objective of this paper is to present a new heuristic algorithm for solving the bi-objective vehicle routing and scheduling problem. The proposed algorithm has been applied to several benchmark problems. The results of these applications seem to be quite encouraging. Furthermore, the proposed algorithm has been integrated within a GIS based decision support system for hazardous materials logistics operations providing valid preliminary results on a set of case studies.",

keywords = "Vehicle routing and scheduling, Heuristic, Hazardous materials",

author = "Konstantinos Zografos and Androutsopoulos, {Konstantinos N.}",

year = "2004",

month = jan,

day = "16",

doi = "10.1016/S0377-2217(03)00041-9",

language = "English",

volume = "152",

pages = "507--519",

journal = "European Journal of Operational Research",

issn = "0377-2217",

publisher = "Elsevier Science B.V.",

number = "2",

}

RIS

TY - JOUR

T1 - A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems

AU - Zografos, Konstantinos

AU - Androutsopoulos, Konstantinos N.

PY - 2004/1/16

Y1 - 2004/1/16

N2 - A type of decision of major importance that directly affects the performance of a distribution system is the routing and scheduling of delivery trucks. The determination of hazardous materials distribution routes can be defined as a bi-objective vehicle routing problem with time windows since risk minimization accompanies the cost minimization in the objective function. The objective of this paper is to present a new heuristic algorithm for solving the bi-objective vehicle routing and scheduling problem. The proposed algorithm has been applied to several benchmark problems. The results of these applications seem to be quite encouraging. Furthermore, the proposed algorithm has been integrated within a GIS based decision support system for hazardous materials logistics operations providing valid preliminary results on a set of case studies.

AB - A type of decision of major importance that directly affects the performance of a distribution system is the routing and scheduling of delivery trucks. The determination of hazardous materials distribution routes can be defined as a bi-objective vehicle routing problem with time windows since risk minimization accompanies the cost minimization in the objective function. The objective of this paper is to present a new heuristic algorithm for solving the bi-objective vehicle routing and scheduling problem. The proposed algorithm has been applied to several benchmark problems. The results of these applications seem to be quite encouraging. Furthermore, the proposed algorithm has been integrated within a GIS based decision support system for hazardous materials logistics operations providing valid preliminary results on a set of case studies.

KW - Vehicle routing and scheduling

KW - Heuristic

KW - Hazardous materials

U2 - 10.1016/S0377-2217(03)00041-9

DO - 10.1016/S0377-2217(03)00041-9

M3 - Journal article

VL - 152

SP - 507

EP - 519

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 2

ER -

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