Abstract
We are witnessing more frequent extreme weather events due to the global warming. There is an urgent need for governments, industries, general public, and academics to take coordinated actions in order to tackle the challenges imposed by the climate change. It is essential to incorporate the environmental objective in the transportation mode selection problem as transportation is a main contributor to carbon emissions. With this in mind, our paper studies the retailer's ordering and transportation mode selection problem using stochastic customer demand and investigates the optimal ordering and transportation mode selection decisions under different carbon emission reduction policies. Our analytical results reveal that there are some important transportation mode shifting thresholds under different carbon emissions reduction policies. These findings do not only help firms to make optimal decisions under different carbon emission reduction policies but also support policy makers to develop effective policies on carbon emissions reduction.
Original language | English |
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Pages (from-to) | 196-205 |
Number of pages | 10 |
Journal | Transportation Research Part E: Logistics and Transportation Review |
Volume | 90 |
DOIs | |
Publication status | Published - 1 Jun 2016 |
Bibliographical note
Funding Information:The first two authors are supported by the Royal Society International Exchanges cost share scheme (Ref. IE131228 ) with National Natural Science Foundation of China (No. 71411130137 ). The first author is also partially supported by National Natural Science Foundation of China (Nos. 71272128 and 71432003 ), Program for New Century Excellent Talents in University (No. NCET-12-0087 ), and Specialized Research Fund for the Doctoral Program of Higher Education (No. 20130185110006 ).
Publisher Copyright:
© 2015 Elsevier Ltd.
Keywords
- Cap-and-trade
- Carbon emission
- Ordering policy
- Stochastic demand
- Supply chain risk
- Transportation mode selection
ASJC Scopus subject areas
- Business and International Management
- Civil and Structural Engineering
- Transportation