Title: Modelling CF of tobacco industry based on PLC across the supply chain

Authors: Xiaoyan Qian; Renwang Li; Yanlong Cao; Yihua Ni; Xinli Wu

Addresses: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Zhejiang, Hangzhou, 310018, China ' Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Zhejiang, Hangzhou, 310018, China ' Faculty of Mechanical Engineering, Zhejiang University, Zhejiang, Hangzhou, 310058, China ' Faculty of Engineering, Zhejiang A&F University, Zhejiang, Hangzhou, 311300, China ' Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Zhejiang, Hangzhou, 310018, China

Abstract: To mitigate global warming, companies are being compelled to control greenhouse gas (GHG) emission in the supply chain. As a fundamental quantisation parameter of carbon emission in product life cycle (PLC), carbon footprint (CF) captures the interest of governments, firms and consumers. However, calculating CF is a prerequisite to confirm or refute best practices and policies for controlling CF. This research examines the method of calculating CF of tobacco industry based on PLC. For different stages of PLC, it presents different models to measure CF at four stages respectively, through which firms especially tobacco industry could find out where carbon emits too much and then could implement corresponding measures to control or even reduce CF. Customers could consider the low-carbon product through carbon labels. For government or related organisations, it could open a new way to promote efficient emission reduction policies, which can control GHG and mitigate global warming.

Keywords: carbon footprint; tobacco industry; product life cycle; PLC; supply chain management; SCM; tobacco supply chains; modelling; greenhouse gases; GHG emissions; global warming; carbon emissions.

DOI: 10.1504/IJSCOM.2016.082232

International Journal of Service and Computing Oriented Manufacturing, 2016 Vol.2 No.3/4, pp.258 - 276

Received: 05 Jan 2016
Accepted: 19 Apr 2016
Published online: 13 Feb 2017 *

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