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A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution

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A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution. / Androutsopoulos, Konstantinos N.; Zografos, Konstantinos G.
In: EURO Journal on Transportation and Logistics, Vol. 1, No. 1-2, 06.2012, p. 157-183.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Androutsopoulos KN, Zografos KG. A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution. EURO Journal on Transportation and Logistics. 2012 Jun;1(1-2):157-183. doi: 10.1007/s13676-012-0004-y

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Androutsopoulos, Konstantinos N. ; Zografos, Konstantinos G. / A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution. In: EURO Journal on Transportation and Logistics. 2012 ; Vol. 1, No. 1-2. pp. 157-183.

Bibtex

@article{894ad215576d42dea5d8f40516a5aab2,
title = "A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution",
abstract = "Planning hazardous materials distribution routes for servicing a given set of orders within specified time windows is a problem frequently surfacing in a city logistics environment which is characterized by dynamic travel times. The hazardous materials distribution problem involves the determination of the sequence of deliveries and the corresponding paths assigned to each truck. This paper presents the formulation of the hazardous materials distribution problem as a bi-objective time-dependent vehicle routing problem with time windows. The paper presents the mathematical formulation of the problem as an integer network flow model with multiple objectives. The weighted-sum method is applied decomposing the bi-objective vehicle routing and scheduling problem to a series of single-objective instances of the problem, where the objective function is expressed by the weighted sum of the criteria under consideration. A route-building heuristic algorithm is presented for addressing each of the constituent single-objective problems, where stops are inserted iteratively in the front part of the unfinished route. A label-setting algorithm is integrated in the heuristic algorithm for solving the time-dependent shortest path problem with multiple intermediate stops arising after the insertion of any stop in the route. The proposed solution approach has been applied to a set of solvable test problems to assess the accuracy of the heuristic solutions. The results indicate a tolerable deviation of the heuristic solutions from the actual non-dominated solutions. In addition, the proposed algorithm was applied to a set of test problems resembling real-life problem cases. The average computational time needed for solving this type of test problems is not prohibitive.",
keywords = "Hazmat distribution , Time dependent , Bi-objective , Vehicle routing and scheduling , Primary 90B06; Secondary 90C29",
author = "Androutsopoulos, {Konstantinos N.} and Zografos, {Konstantinos G.}",
year = "2012",
month = jun,
doi = "10.1007/s13676-012-0004-y",
language = "English",
volume = "1",
pages = "157--183",
journal = "EURO Journal on Transportation and Logistics",
issn = "2192-4376",
publisher = "Springer",
number = "1-2",

}

RIS

TY - JOUR

T1 - A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution

AU - Androutsopoulos, Konstantinos N.

AU - Zografos, Konstantinos G.

PY - 2012/6

Y1 - 2012/6

N2 - Planning hazardous materials distribution routes for servicing a given set of orders within specified time windows is a problem frequently surfacing in a city logistics environment which is characterized by dynamic travel times. The hazardous materials distribution problem involves the determination of the sequence of deliveries and the corresponding paths assigned to each truck. This paper presents the formulation of the hazardous materials distribution problem as a bi-objective time-dependent vehicle routing problem with time windows. The paper presents the mathematical formulation of the problem as an integer network flow model with multiple objectives. The weighted-sum method is applied decomposing the bi-objective vehicle routing and scheduling problem to a series of single-objective instances of the problem, where the objective function is expressed by the weighted sum of the criteria under consideration. A route-building heuristic algorithm is presented for addressing each of the constituent single-objective problems, where stops are inserted iteratively in the front part of the unfinished route. A label-setting algorithm is integrated in the heuristic algorithm for solving the time-dependent shortest path problem with multiple intermediate stops arising after the insertion of any stop in the route. The proposed solution approach has been applied to a set of solvable test problems to assess the accuracy of the heuristic solutions. The results indicate a tolerable deviation of the heuristic solutions from the actual non-dominated solutions. In addition, the proposed algorithm was applied to a set of test problems resembling real-life problem cases. The average computational time needed for solving this type of test problems is not prohibitive.

AB - Planning hazardous materials distribution routes for servicing a given set of orders within specified time windows is a problem frequently surfacing in a city logistics environment which is characterized by dynamic travel times. The hazardous materials distribution problem involves the determination of the sequence of deliveries and the corresponding paths assigned to each truck. This paper presents the formulation of the hazardous materials distribution problem as a bi-objective time-dependent vehicle routing problem with time windows. The paper presents the mathematical formulation of the problem as an integer network flow model with multiple objectives. The weighted-sum method is applied decomposing the bi-objective vehicle routing and scheduling problem to a series of single-objective instances of the problem, where the objective function is expressed by the weighted sum of the criteria under consideration. A route-building heuristic algorithm is presented for addressing each of the constituent single-objective problems, where stops are inserted iteratively in the front part of the unfinished route. A label-setting algorithm is integrated in the heuristic algorithm for solving the time-dependent shortest path problem with multiple intermediate stops arising after the insertion of any stop in the route. The proposed solution approach has been applied to a set of solvable test problems to assess the accuracy of the heuristic solutions. The results indicate a tolerable deviation of the heuristic solutions from the actual non-dominated solutions. In addition, the proposed algorithm was applied to a set of test problems resembling real-life problem cases. The average computational time needed for solving this type of test problems is not prohibitive.

KW - Hazmat distribution

KW - Time dependent

KW - Bi-objective

KW - Vehicle routing and scheduling

KW - Primary 90B06; Secondary 90C29

U2 - 10.1007/s13676-012-0004-y

DO - 10.1007/s13676-012-0004-y

M3 - Journal article

VL - 1

SP - 157

EP - 183

JO - EURO Journal on Transportation and Logistics

JF - EURO Journal on Transportation and Logistics

SN - 2192-4376

IS - 1-2

ER -