Dimensionality reduction applied to the simultaneous optimization of the economic and life cycle environmental performance of supply chains

作     者：Kostin, Andrei Guillen-Gosalbez, Gonzalo Jimenez, Laureano 

作者机构：Univ Rovira & Virgili Dept Engn Quim Escola Tecn Super Engn Quim E-43007 Tarragona Spain Univ Manchester Sch Chem Engn & Analyt Sci Ctr Proc Integrat Manchester M13 9PL Lancs England 

出 版 物：《INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS》 (国际生产经济学杂志)

年 卷 期：2015年第159卷

页      面：223-232页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 

基　　金：Spanish Ministry of Science and Innovation [CTQ2012-37039-C02, DPI2012-37154-C02-02, ENE2011-28269-C03-03] Spanish Ministry of External Affairs [A/8502/07, A/023551/09, A/031707/10, HS2007-0006] 

主　　题：Hybrid simulation-optimization Mixed-integer dynamic optimization Biotechnological processes L-lysine 

摘      要：The design and planning of more sustainable supply chains should take into account several impacts for a proper assessment of the environmental performance of the logistic activities. Unfortunately, minimizing several environmental objectives simultaneously leads to hard optimization problems. This paper presents a rigorous computational framework for solving complex multi-objective optimization (MOO) problems encountered in the optimization of logistic tasks under economic and environmental indicators. The key ingredient of our method is the use of an objective reduction algorithm that allows identifying redundant objectives that can be omitted while still preserving the problem structure to the extent possible. The advantages of our method are illustrated by means of two case studies that address the multi-objective optimization of supply chains that produce bioethanol and hydrogen for vehicle use. (C) 2014 Published by Elsevier B.V.