caa a22 4500 606169407 CHVBK 20210128100712.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10098-015-0916-y doi (NATIONALLICENCE)springer-10.1007/s10098-015-0916-y Sustainability enhancement under uncertainty: a Monte Carlo-based simulation and system optimization method [Elektronische Daten] [Zheng Liu, Yinlun Huang] Known methods for sustainability enhancement are typically scenario based, and the uncertainty of surrounding available data and information is usually not addressed holistically, due to inherent problem complexity. Thus the solutions identified by those methods could be not sufficiently effective in many industrial applications. In this paper, we introduce a Monte Carlo-based simulation and system optimization method for deriving sustainability enhancement strategies, where uncertainties are systematically taken into account. The methodological efficacy is illustrated through the study of an industrial sustainability enhancement problem involving a number of sectors. Springer-Verlag Berlin Heidelberg, 2015 Industrial sustainability nationallicence Uncertainty nationallicence System optimization nationallicence Monte Carlo simulation nationallicence Liu Zheng Department of Chemical Engineering and Materials Science, Wayne State University, 48202, Detroit, MI, USA aut Huang Yinlun Department of Chemical Engineering and Materials Science, Wayne State University, 48202, Detroit, MI, USA aut Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/7(2015-10-01), 1757-1768 1618-954X 17:7<1757 2015 17 10098 https://doi.org/10.1007/s10098-015-0916-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10098-015-0916-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Zheng Department of Chemical Engineering and Materials Science, Wayne State University, 48202, Detroit, MI, USA aut NATIONALLICENCE 700 1- Huang Yinlun Department of Chemical Engineering and Materials Science, Wayne State University, 48202, Detroit, MI, USA aut NATIONALLICENCE 773 0- Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/7(2015-10-01), 1757-1768 1618-954X 17:7<1757 2015 17 10098