A concept for simulation-based optimization in Vehicle Routing Problems

D. E. Mazzuco; A. M. Carreirão Danielli; D. L. Oliveira; P. P.P. Santos; M. M. Pereira; L. C. Coelho; E. M. Frazzon

doi:10.1016/j.ifacol.2018.08.208

A concept for simulation-based optimization in Vehicle Routing Problems

D. E. Mazzuco, A. M. Carreirão Danielli, D. L. Oliveira, P. P.P. Santos, M. M. Pereira, L. C. Coelho, E. M. Frazzon

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Transport processes directly influence the operational performance of distributed production systems. In this context, the Vehicle Routing Problem (VRP) aims for optimizing the delivery of goods, choosing the best route, which reduces travel time, distance or cost. This paper deals with a variant of the VRP, known as VRP with Time Windows (VRPTW) considering daily scheduling. Therefore, this paper proposes a simulation-based optimization approach for transport scheduling and vehicle routing. The approach was validated in a test case focus on minimize the total cost of the distance travelled in a scenario composed by 13 vehicles and 100 clients.

Original language	English
Book series	IFAC-PapersOnLine
Volume	51
Issue number	11
Pages (from-to)	1720-1725
DOIs	https://doi.org/10.1016/j.ifacol.2018.08.208
Publication status	Published - 1. Jan 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2018

Keywords

Complex Logistic Systems
Optimization
Simulation
Vehicle Routing Problem with Time Windows

Documents & Links

10.1016/j.ifacol.2018.08.208

Cite this

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title = "A concept for simulation-based optimization in Vehicle Routing Problems",

abstract = "Transport processes directly influence the operational performance of distributed production systems. In this context, the Vehicle Routing Problem (VRP) aims for optimizing the delivery of goods, choosing the best route, which reduces travel time, distance or cost. This paper deals with a variant of the VRP, known as VRP with Time Windows (VRPTW) considering daily scheduling. Therefore, this paper proposes a simulation-based optimization approach for transport scheduling and vehicle routing. The approach was validated in a test case focus on minimize the total cost of the distance travelled in a scenario composed by 13 vehicles and 100 clients.",

keywords = "Complex Logistic Systems, Optimization, Simulation, Vehicle Routing Problem with Time Windows",

author = "Mazzuco, {D. E.} and {Carreir{\~a}o Danielli}, {A. M.} and Oliveira, {D. L.} and Santos, {P. P.P.} and Pereira, {M. M.} and Coelho, {L. C.} and Frazzon, {E. M.}",

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doi = "10.1016/j.ifacol.2018.08.208",

language = "English",

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AU - Mazzuco, D. E.

AU - Carreirão Danielli, A. M.

AU - Oliveira, D. L.

AU - Santos, P. P.P.

AU - Pereira, M. M.

AU - Coelho, L. C.

AU - Frazzon, E. M.

PY - 2018/1/1

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N2 - Transport processes directly influence the operational performance of distributed production systems. In this context, the Vehicle Routing Problem (VRP) aims for optimizing the delivery of goods, choosing the best route, which reduces travel time, distance or cost. This paper deals with a variant of the VRP, known as VRP with Time Windows (VRPTW) considering daily scheduling. Therefore, this paper proposes a simulation-based optimization approach for transport scheduling and vehicle routing. The approach was validated in a test case focus on minimize the total cost of the distance travelled in a scenario composed by 13 vehicles and 100 clients.

AB - Transport processes directly influence the operational performance of distributed production systems. In this context, the Vehicle Routing Problem (VRP) aims for optimizing the delivery of goods, choosing the best route, which reduces travel time, distance or cost. This paper deals with a variant of the VRP, known as VRP with Time Windows (VRPTW) considering daily scheduling. Therefore, this paper proposes a simulation-based optimization approach for transport scheduling and vehicle routing. The approach was validated in a test case focus on minimize the total cost of the distance travelled in a scenario composed by 13 vehicles and 100 clients.

KW - Complex Logistic Systems

KW - Optimization

KW - Simulation

KW - Vehicle Routing Problem with Time Windows

U2 - 10.1016/j.ifacol.2018.08.208

DO - 10.1016/j.ifacol.2018.08.208

M3 - Journal article

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EP - 1725

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 11

ER -

A concept for simulation-based optimization in Vehicle Routing Problems

Abstract

Bibliographical note

Keywords

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