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Simheuristics applications: dealing with uncertainty in logistics, transportation, and other supply chain areas

Simheuristics applications: dealing with uncertainty in logistics, transportation, and other supply chain areas
Simheuristics applications: dealing with uncertainty in logistics, transportation, and other supply chain areas

Optimization problems arising in real-life transportation and logistics need to consider uncertainty conditions (e.g., stochastic travel times, etc.). Simulation is employed in the analysis of complex systems under such non-deterministic environments. However, simulation is not an optimization tool, so it needs to be combined with optimization methods whenever the goal is to: (i) maximize the system performance using limited resources; or (ii) minimize its operations cost while guaranteeing a given quality of service. When the underlying optimization problem is NP-hard, metaheuristics are required to solve large-scale instances in reasonable computing times. Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal with scenarios under uncertainty. This paper reviews both initial as well as recent applications of simheuristics, mainly in the area of logistics and transportation. The paper also discusses current trends and open research lines in this field.

1558-4305
3048-3059
IEEE
Juan, Angel A.
a08d6aac-1e9b-4537-81a7-29a1ba791f26
David Kelton, W.
ef77c147-da21-40f6-bf63-85d1b67e142b
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Faulin, Javier
b50f3d35-0d75-4c02-be1c-57bb671fa5ae
Juan, Angel A.
a08d6aac-1e9b-4537-81a7-29a1ba791f26
David Kelton, W.
ef77c147-da21-40f6-bf63-85d1b67e142b
Currie, Christine S.M.
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Faulin, Javier
b50f3d35-0d75-4c02-be1c-57bb671fa5ae

Juan, Angel A., David Kelton, W., Currie, Christine S.M. and Faulin, Javier (2019) Simheuristics applications: dealing with uncertainty in logistics, transportation, and other supply chain areas. In 2018 Winter Simulation Conference (WSC). vol. 2018-December, IEEE. pp. 3048-3059 . (doi:10.1109/WSC.2018.8632464).

Record type: Conference or Workshop Item (Paper)

Abstract

Optimization problems arising in real-life transportation and logistics need to consider uncertainty conditions (e.g., stochastic travel times, etc.). Simulation is employed in the analysis of complex systems under such non-deterministic environments. However, simulation is not an optimization tool, so it needs to be combined with optimization methods whenever the goal is to: (i) maximize the system performance using limited resources; or (ii) minimize its operations cost while guaranteeing a given quality of service. When the underlying optimization problem is NP-hard, metaheuristics are required to solve large-scale instances in reasonable computing times. Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal with scenarios under uncertainty. This paper reviews both initial as well as recent applications of simheuristics, mainly in the area of logistics and transportation. The paper also discusses current trends and open research lines in this field.

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WSC18 Kelton Simheuristics - Accepted Manuscript
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More information

Accepted/In Press date: 20 August 2018
e-pub ahead of print date: December 2018
Published date: 4 February 2019
Venue - Dates: WSC 2018 Winter Simulation Conference: Simulation for a Noble Cause, Sweden, 2018-12-09 - 2018-12-12

Identifiers

Local EPrints ID: 429148
URI: http://eprints.soton.ac.uk/id/eprint/429148
ISSN: 1558-4305
PURE UUID: 5445f42f-b33b-4667-8ba0-44f7e0af0058
ORCID for Christine S.M. Currie: ORCID iD orcid.org/0000-0002-7016-3652

Catalogue record

Date deposited: 22 Mar 2019 17:30
Last modified: 07 Oct 2020 01:48

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