An optimization model for green supply chain management by using a big data analytic approach

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• 作者：Rui Zhao^a ; ^b ; Yiyun Liu^a ; Ning Zhang^c ; ^{zn928@naver.com} ; Tao Huang^a
• 关键词：Hazardous materials ; Inherent risk ; Carbon emissions ; Multi-objective optimization ; Green supply chain management ; Big data analysis
• 刊名：Journal of Cleaner Production
• 出版年：2017
• 出版时间：20 January 2017
• 年：2017
• 卷：142
• 期：part_P2
• 页码：1085-1097
• 全文大小：1834 K
• 卷排序：142

文摘

This paper presents a multi-objective optimization model for a green supply chain management scheme that minimizes the inherent risk occurred by hazardous materials, associated carbon emission and economic cost. The model related parameters are capitalized on a big data analysis. Three scenarios are proposed to improve green supply chain management. The first scenario divides optimization into three options: the first involves minimizing risk and then dealing with carbon emissions (and thus economic cost); the second minimizes both risk and carbon emissions first, with the ultimate goal of minimizing overall cost; and the third option attempts to minimize risk, carbon emissions, and economic cost simultaneously. This paper provides a case study to verify the optimization model. Finally, the limitations of this research and approach are discussed to lay a foundation for further improvement.