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 |
|---|---|
| Pages (from-to) | 196-205 |
| Number of pages | 10 |
| Journal | Transportation Research Part E: Logistics and Transportation Review |
| Volume | 90 |
| Early online date | 12 Dec 2015 |
| DOIs | |
| Publication status | Published - Jun 2016 |
Research Groups and Themes
- Smart Networks for Sustainable Futures
Keywords
- Carbon emission
- Transportation mode selection
- Cap-and-trade
- Supply chain risk
- Ordering policy
- Stochastic demand
Access to Document
- TPE_manuscript_Accepted_paper
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at http://www.sciencedirect.com/science/article/pii/S1366554515002112.