Modelling and solving the combined inventory routing problem with risk consideration

Ahmed Kheiri; Konstantinos Zografos

doi:10.1145/3319619.3326773

Modelling and solving the combined inventory routing problem with risk consideration

Ahmed Kheiri
, Konstantinos Zografos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.

Original language	English
Title of host publication	GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Editors	Manuel López-Ibáñez
Publisher	Association for Computing Machinery
Pages	57-58
Number of pages	2
ISBN (Electronic)	9781450367486
DOIs	https://doi.org/10.1145/3319619.3326773
Publication status	Published - 13 Jul 2019
Event	2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic Duration: 13 Jul 2019 → 17 Jul 2019

Conference

Conference	2019 Genetic and Evolutionary Computation Conference, GECCO 2019
Country/Territory	Czech Republic
City	Prague
Period	13/07/19 → 17/07/19

Keywords

Hyper-heuristic
Inventory routing problem
Multi-objective optimisation
Risk consideration

ASJC Scopus subject areas

Artificial Intelligence
Theoretical Computer Science
Software

Access to Document

10.1145/3319619.3326773

Cite this

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title = "Modelling and solving the combined inventory routing problem with risk consideration",

abstract = "This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.",

keywords = "Hyper-heuristic, Inventory routing problem, Multi-objective optimisation, Risk consideration",

author = "Ahmed Kheiri and Konstantinos Zografos",

note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 ; Conference date: 13-07-2019 Through 17-07-2019",

year = "2019",

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doi = "10.1145/3319619.3326773",

language = "English",

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editor = "Manuel L{\'o}pez-Ib{\'a}{\~n}ez",

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publisher = "Association for Computing Machinery",

address = "United States",

}

Kheiri, A & Zografos, K 2019, Modelling and solving the combined inventory routing problem with risk consideration. in M López-Ibáñez (ed.), GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, pp. 57-58, 2019 Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3319619.3326773

Modelling and solving the combined inventory routing problem with risk consideration. / Kheiri, Ahmed; Zografos, Konstantinos.
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. ed. / Manuel López-Ibáñez. Association for Computing Machinery, 2019. p. 57-58.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modelling and solving the combined inventory routing problem with risk consideration

AU - Kheiri, Ahmed

AU - Zografos, Konstantinos

PY - 2019/7/13

Y1 - 2019/7/13

N2 - This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.

AB - This work proposes a multi-objective extension of a real-world inventory routing problem (IRP), a generalisation of the classical vehicle routing problem (VRP) with vendor managed inventory (VMI) replenishment. While many mathematical formulations and solution models already exist, this study incorporates business-related and risk considerations that makes it unique. It is known that a significant volume of hazardous materials travels every day. Consideration of risks arising from the transportation of hazardous materials as a criterion for selecting distribution routes could potentially reduce the likelihood of accidents and/or the expected consequences of accidents.

KW - Hyper-heuristic

KW - Inventory routing problem

KW - Multi-objective optimisation

KW - Risk consideration

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DO - 10.1145/3319619.3326773

M3 - Conference contribution

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BT - GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion

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T2 - 2019 Genetic and Evolutionary Computation Conference, GECCO 2019

Y2 - 13 July 2019 through 17 July 2019

ER -

Modelling and solving the combined inventory routing problem with risk consideration

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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