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Scheduling and pricing of services to minimise CO2 emissions of delivery vehicles

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conference contribution
posted on 17.04.2019, 10:18 by Yizi Zhou, Rupal Rana, Jiyin LiuJiyin Liu
Previous research found that minimising emissions often conflicts with maximising profit in service delivery. In this study, we consider a service scheduling problem and propose a new approach to the problem which applies low-emission vehicle scheduling techniques with dynamic pricing to reduce CO2 emissions and maximise profit. Incentives are included in the service prices to influence the customer’s choice in order to reduce CO2 emissions. To help the company determining the incentives, our approach solves the problem in two phases. The first phase solves vehicle scheduling models with the objective of minimising CO2 emissions and the second phase solves a dynamic pricing model to maximise profit. This approach is tested through numerical experiments.

History

School

  • Business and Economics

Department

  • Business

Published in

GSC’2016 - 3 rd International Conference on Green Supply Chain

Pages

? - ? (5 pages)

Citation

ZHOU, Y., RANA, R. and LIU, J., 2016. Scheduling and pricing of services to minimise CO2 emissions of delivery vehicles. Presented at GSC’2016, the 3rd International Conference on Green Supply Chain, Loughborough University London, London, UK, 10-13 July 2016.

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This is a conference paper.

Publisher version

Language

en

Location

Loughborough University London, London, UK