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Bi-objective optimization of a supply chain: identification of the key impact category and green management
Brazilian Journal of Chemical Engineering ( IF 1.5 ) Pub Date : 2020-02-13 , DOI: 10.1007/s43153-020-00028-8
Rodrigo Camilo , Lucas Bonfim-Rocha , Diogo H. Macowski , Thiago B. Mano , Rodrigo Orgeda , Regiani A. Almeida , Ricardo V. P. Rezende , Mauro A. S. S. Ravagnani

In the present work, a bi-objective optimization model is proposed for the green management of the supply chain of fresh fruit considering transportation costs, and environmental impact categories given by the ReCiPe methodology. The ε-constraint method is used to convert the bi-objective function into a single-objective optimization problem and it is applied to two case studies to test the model in a tomato supply chain, providing a set of Pareto solutions. Results showed that the most affected environmental impact category is “climate change” from the emission of greenhouse gases and that there are greater CO2 emissions at the stage of transportation from producers to warehouses. Solutions obtained by the proposed approach provided useful information such as the best operating points for the green management of the supply chain. Moreover, the model can be used in similar situations for regional development.

中文翻译:

供应链的双目标优化:识别关键影响类别和绿色管理

在目前的工作中,考虑到运输成本和 ReCiPe 方法给出的环境影响类别,提出了一种双目标优化模型,用于新鲜水果供应链的绿色管理。ε-constraint 方法用于将双目标函数转换为单目标优化问题,并应用于两个案例研究以在番茄供应链中测试模型,提供一组帕累托解决方案。结果表明,受温室气体排放影响最大的环境影响类别是“气候变化”,从生产者到仓库的运输阶段二氧化碳排放量更大。通过所提出的方法获得的解决方案提供了有用的信息,例如供应链绿色管理的最佳操作点。而且,
更新日期:2020-02-13
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