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Title: Scheduling and pricing of services to minimise CO2 emissions of delivery vehicles
Authors: Zhou, Yizi
Rana, Rupal
Liu, Jiyin
Keywords: Service delivery
Vehicle scheduling
Minimising CO2 emission
Dynamic pricing
Mathematical programming
Issue Date: 2016
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.
Abstract: 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.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/37611
Publisher Link: http://icgsc.org/pr.html
Appears in Collections:Conference Papers and Presentations (Business)

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