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作者机构:Carnegie Mellon Univ Dept Chem Engn Pittsburgh PA 15213 USA Univ Rovira & Virgili Dept Engn Quim Tarragona 43007 Spain
出 版 物:《COMPUTERS & CHEMICAL ENGINEERING》 (计算机与化工)
年 卷 期:2010年第34卷第9期
页 面:1365-1376页
核心收录:
学科分类:0817[工学-化学工程与技术] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:Spanish Ministry of External Affairs and Cooperation, (A/020104/08, A/8502/07, HS2007-0006) Carnegie Mellon University, CMU Ministerio de Ciencia e Innovación, MICINN, (BFU2008-00196, CTQ2009-14420-C02-01, DPI2008-04099, PHB2008-0090-PC)
主 题:Sustainability Uncertainty Process synthesis Supply chain management
摘 要:Sustainability has recently emerged as a key issue in process systems engineering (PSE). Mathematical programming techniques offer a general modeling framework for including environmental concerns in the synthesis and planning of chemical processes. In this paper, we review major contributions in process synthesis and supply chain management, highlighting the main optimization approaches that are available, including the handling of uncertainty and the multi-objective optimization of economic and environmental objectives. Finally, we discuss challenges and opportunities identified in the area. (C) 2009 Elsevier Ltd. All rights reserved.