GSC1668.pdf (237.19 kB)
Scheduling and pricing of services to minimise CO2 emissions of delivery vehicles
conference contribution
posted on 2019-04-17, 10:18 authored by Yizi Zhou, Rupal Rana, Jiyin LiuJiyin LiuPrevious 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 ChainPages
? - ? (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
2016Notes
This is a conference paper.Publisher version
Language
- en