Modelling CF of tobacco industry based on PLC across the supply chain. (2016)

• Record Type: Journal Article
• Authors: Qian, Xiaoyan; Li, Renwang; Cao, Yanlong; Ni, Yihua; Wu, Xinli
• Is Part Of: International journal of service and computing oriented manufacturing. Volume 2:Number 3/4(2016)
• Page Start: 258
• Page End: 276
• Publication Date: 2016
• Subjects: carbon footprint -- tobacco industry -- product life cycle -- PLC -- supply chain management -- SCM -- tobacco supply chains -- modelling -- greenhouse gases -- GHG emissions -- global warming -- carbon emissions; Computer integrated manufacturing systems -- Periodicals; Manufacturing industries -- Information technology -- Periodicals; Manufacturing industries -- Computer networks -- Periodicals; Service-oriented architecture (Computer science) -- Periodicals; 670.285
• Languages: English
• ISSNs: 2045-175X

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.