By the same authors

Competition and cooperation in pickup and multiple delivery problems

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

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Competition and cooperation in pickup and multiple delivery problems. / Mourdjis, Philip; Polack, Fiona; Cowling, Peter; Chen, Yujie; Robinson, Martin.

Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers. Vol. 695 Springer-Verlag, 2017. p. 142-160 (Communications in Computer and Information Science; Vol. 695).

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

Harvard

Mourdjis, P, Polack, F, Cowling, P, Chen, Y & Robinson, M 2017, Competition and cooperation in pickup and multiple delivery problems. in Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers. vol. 695, Communications in Computer and Information Science, vol. 695, Springer-Verlag, pp. 142-160, 5th International Conference on Operations Research and Enterprise Systems, ICORES 2016, Rome, Italy, 23/02/16. https://doi.org/10.1007/978-3-319-53982-9_9

APA

Mourdjis, P., Polack, F., Cowling, P., Chen, Y., & Robinson, M. (2017). Competition and cooperation in pickup and multiple delivery problems. In Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers (Vol. 695, pp. 142-160). (Communications in Computer and Information Science; Vol. 695). Springer-Verlag. https://doi.org/10.1007/978-3-319-53982-9_9

Vancouver

Mourdjis P, Polack F, Cowling P, Chen Y, Robinson M. Competition and cooperation in pickup and multiple delivery problems. In Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers. Vol. 695. Springer-Verlag. 2017. p. 142-160. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-53982-9_9

Author

Mourdjis, Philip ; Polack, Fiona ; Cowling, Peter ; Chen, Yujie ; Robinson, Martin. / Competition and cooperation in pickup and multiple delivery problems. Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers. Vol. 695 Springer-Verlag, 2017. pp. 142-160 (Communications in Computer and Information Science).

Bibtex - Download

@inproceedings{caa9651a6a8049af88a73d213a5aece7,
title = "Competition and cooperation in pickup and multiple delivery problems",
abstract = "Logistics is a highly competitive industry; large hauliers use their size to benefit from economies of scale while small logistics companies are often well placed to service local clients. To obtain economies of scale, small hauliers may seek to cooperate by sharing loads. This paper investigates the potential for cost savings and problems associated with this idea. We study dynamic scheduling of shared loads for real-world truck haulage in the UK and model it as a dynamic pickup and multiple delivery problem (PMDP). In partnership with Transfaction Ltd., we propose realistic cost and revenue functions to investigate how companies of different sizes could cooperate to both reduce their operational costs and to increase profitability in a number of different scenarios.",
author = "Philip Mourdjis and Fiona Polack and Peter Cowling and Yujie Chen and Martin Robinson",
year = "2017",
month = "2",
day = "15",
doi = "10.1007/978-3-319-53982-9_9",
language = "English",
isbn = "9783319539812",
volume = "695",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag",
pages = "142--160",
booktitle = "Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Competition and cooperation in pickup and multiple delivery problems

AU - Mourdjis, Philip

AU - Polack, Fiona

AU - Cowling, Peter

AU - Chen, Yujie

AU - Robinson, Martin

PY - 2017/2/15

Y1 - 2017/2/15

N2 - Logistics is a highly competitive industry; large hauliers use their size to benefit from economies of scale while small logistics companies are often well placed to service local clients. To obtain economies of scale, small hauliers may seek to cooperate by sharing loads. This paper investigates the potential for cost savings and problems associated with this idea. We study dynamic scheduling of shared loads for real-world truck haulage in the UK and model it as a dynamic pickup and multiple delivery problem (PMDP). In partnership with Transfaction Ltd., we propose realistic cost and revenue functions to investigate how companies of different sizes could cooperate to both reduce their operational costs and to increase profitability in a number of different scenarios.

AB - Logistics is a highly competitive industry; large hauliers use their size to benefit from economies of scale while small logistics companies are often well placed to service local clients. To obtain economies of scale, small hauliers may seek to cooperate by sharing loads. This paper investigates the potential for cost savings and problems associated with this idea. We study dynamic scheduling of shared loads for real-world truck haulage in the UK and model it as a dynamic pickup and multiple delivery problem (PMDP). In partnership with Transfaction Ltd., we propose realistic cost and revenue functions to investigate how companies of different sizes could cooperate to both reduce their operational costs and to increase profitability in a number of different scenarios.

UR - http://www.scopus.com/inward/record.url?scp=85013391331&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-53982-9_9

DO - 10.1007/978-3-319-53982-9_9

M3 - Conference contribution

SN - 9783319539812

VL - 695

T3 - Communications in Computer and Information Science

SP - 142

EP - 160

BT - Operations Research and Enterprise Systems - 5th International Conference, ICORES 2016, Revised Selected Papers

PB - Springer-Verlag

ER -