期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 34, 期 1, 页码 42-58出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2009.09.003
关键词
Multi-objective optimization; Supply chain management; Life cycle assessment; Uncertainty; Global optimization
资金
- Spanish Ministry of Science and Innovation (MICINN) [DP12008-04099, PHB2008-0090-PC, BFU2008-00196, CTQ2009-14420-C02-01]
- Spanish Ministry of External Affairs [A/8502/07, HS2007-0006, A/020104/08]
This paper addresses the optimal design and planning of sustainable chemical Supply chains (SCs) in the presence of uncertainty in the damage model used to evaluate their environmental performance. The environmental damage is assessed through the Eco-indicator 99, which includes recent advances made in life cycle assessment (LCA). The overall problem is formulated as a bi-criterion stochastic non-convex mixed-integer nonlinear program (MINLP). The deterministic equivalent of such a model is obtained by reformulating the joint chance-constraint employed to calculate the environmental performance of the SC in the space of uncertain parameters. The resulting bi-criterion non-convex MINLP is solved by applying the epsilon constraint method. To guarantee the global optimality of the Pareto solutions found, we propose a novel spatial branch and bound method that exploits the specific structure of the problem. The capabilities of our modeling framework and the performance of the proposed Solution strategy are illustrated through a case study. (C) 2009 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据