Fund allocation using capacitated vehicle routing problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In investment fund allocation, it is unwise for an investor to distribute his fund into several assets simultaneously due to economic reasons. One solution is to allocate the fund into a particular asset at a time in a sequence that will either maximize returns or minimize risks depending on the investor's objective. The vehicle routing problem (VRP) provides an avenue to this issue. VRP answers the question on how to efficiently use the available fleet of vehicles to meet a given service demand, subjected to a set of operational requirements. This paper proposes an idea of using capacitated vehicle routing problem (CVRP) to optimize investment fund allocation by employing data of selected stocks in the FTSE Bursa Malaysia. Results suggest that CRVP can be applied to solve the issue of investment fund allocation and increase the investor's profit.

Original languageEnglish
Title of host publicationStatistics and Operational Research International Conference, SORIC 2013
PublisherAmerican Institute of Physics Inc.
Pages169-179
Number of pages11
Volume1613
ISBN (Electronic)9780735412491
DOIs
Publication statusPublished - 1 Jan 2014
EventStatistics and Operational Research International Conference, SORIC 2013 - Sarawak, Malaysia
Duration: 3 Dec 20135 Dec 2013

Other

OtherStatistics and Operational Research International Conference, SORIC 2013
CountryMalaysia
CitySarawak
Period3/12/135/12/13

Fingerprint

vehicles
Malaysia
economics
requirements

Keywords

  • CVRP
  • investment
  • optimization

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Mamat, N. J. Z., Jaaman @ Sharman, S. H., Ahmad, R. . R., & Darus, M. (2014). Fund allocation using capacitated vehicle routing problem. In Statistics and Operational Research International Conference, SORIC 2013 (Vol. 1613, pp. 169-179). American Institute of Physics Inc.. https://doi.org/10.1063/1.4894343

Fund allocation using capacitated vehicle routing problem. / Mamat, Nur Jumaadzan Zaleha; Jaaman @ Sharman, Saiful Hafizah; Ahmad, Rokiah @ Rozita; Darus, Maslina.

Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. p. 169-179.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mamat, NJZ, Jaaman @ Sharman, SH, Ahmad, RR & Darus, M 2014, Fund allocation using capacitated vehicle routing problem. in Statistics and Operational Research International Conference, SORIC 2013. vol. 1613, American Institute of Physics Inc., pp. 169-179, Statistics and Operational Research International Conference, SORIC 2013, Sarawak, Malaysia, 3/12/13. https://doi.org/10.1063/1.4894343
Mamat NJZ, Jaaman @ Sharman SH, Ahmad RR, Darus M. Fund allocation using capacitated vehicle routing problem. In Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613. American Institute of Physics Inc. 2014. p. 169-179 https://doi.org/10.1063/1.4894343
Mamat, Nur Jumaadzan Zaleha ; Jaaman @ Sharman, Saiful Hafizah ; Ahmad, Rokiah @ Rozita ; Darus, Maslina. / Fund allocation using capacitated vehicle routing problem. Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. pp. 169-179
@inproceedings{6bf63cfdccf74baf8a53c71e63bc5a07,
title = "Fund allocation using capacitated vehicle routing problem",
abstract = "In investment fund allocation, it is unwise for an investor to distribute his fund into several assets simultaneously due to economic reasons. One solution is to allocate the fund into a particular asset at a time in a sequence that will either maximize returns or minimize risks depending on the investor's objective. The vehicle routing problem (VRP) provides an avenue to this issue. VRP answers the question on how to efficiently use the available fleet of vehicles to meet a given service demand, subjected to a set of operational requirements. This paper proposes an idea of using capacitated vehicle routing problem (CVRP) to optimize investment fund allocation by employing data of selected stocks in the FTSE Bursa Malaysia. Results suggest that CRVP can be applied to solve the issue of investment fund allocation and increase the investor's profit.",
keywords = "CVRP, investment, optimization",
author = "Mamat, {Nur Jumaadzan Zaleha} and {Jaaman @ Sharman}, {Saiful Hafizah} and Ahmad, {Rokiah @ Rozita} and Maslina Darus",
year = "2014",
month = "1",
day = "1",
doi = "10.1063/1.4894343",
language = "English",
volume = "1613",
pages = "169--179",
booktitle = "Statistics and Operational Research International Conference, SORIC 2013",
publisher = "American Institute of Physics Inc.",

}

TY - GEN

T1 - Fund allocation using capacitated vehicle routing problem

AU - Mamat, Nur Jumaadzan Zaleha

AU - Jaaman @ Sharman, Saiful Hafizah

AU - Ahmad, Rokiah @ Rozita

AU - Darus, Maslina

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In investment fund allocation, it is unwise for an investor to distribute his fund into several assets simultaneously due to economic reasons. One solution is to allocate the fund into a particular asset at a time in a sequence that will either maximize returns or minimize risks depending on the investor's objective. The vehicle routing problem (VRP) provides an avenue to this issue. VRP answers the question on how to efficiently use the available fleet of vehicles to meet a given service demand, subjected to a set of operational requirements. This paper proposes an idea of using capacitated vehicle routing problem (CVRP) to optimize investment fund allocation by employing data of selected stocks in the FTSE Bursa Malaysia. Results suggest that CRVP can be applied to solve the issue of investment fund allocation and increase the investor's profit.

AB - In investment fund allocation, it is unwise for an investor to distribute his fund into several assets simultaneously due to economic reasons. One solution is to allocate the fund into a particular asset at a time in a sequence that will either maximize returns or minimize risks depending on the investor's objective. The vehicle routing problem (VRP) provides an avenue to this issue. VRP answers the question on how to efficiently use the available fleet of vehicles to meet a given service demand, subjected to a set of operational requirements. This paper proposes an idea of using capacitated vehicle routing problem (CVRP) to optimize investment fund allocation by employing data of selected stocks in the FTSE Bursa Malaysia. Results suggest that CRVP can be applied to solve the issue of investment fund allocation and increase the investor's profit.

KW - CVRP

KW - investment

KW - optimization

UR - http://www.scopus.com/inward/record.url?scp=85019502051&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019502051&partnerID=8YFLogxK

U2 - 10.1063/1.4894343

DO - 10.1063/1.4894343

M3 - Conference contribution

VL - 1613

SP - 169

EP - 179

BT - Statistics and Operational Research International Conference, SORIC 2013

PB - American Institute of Physics Inc.

ER -