%0 Journal Article
%@ 08982112
%A Ganesan, T.
%A Elamvazuthi, I.
%D 2017
%F scholars:8326
%I Taylor and Francis Inc.
%J Quality Engineering
%K Cost effectiveness, Decomposition system; Hypervolume indicators; Metaheuristic strategy; Objective optimization; resilience, Optimization
%N 4
%P 656-671
%R 10.1080/08982112.2016.1255331
%T A multi-objective approach for resilience-based plant design optimization
%U https://khub.utp.edu.my/scholars/8326/
%V 29
%X As process plants become more complex, the notion of reliability per se is insufficient to measure stable and cost-effective operations. Recently, the idea of resilience has been put forward as a means to quantify the amount of systemic failures a process plant can handle before its operations become significantly affected. This work proposes a framework for resilience-centered plant design. By this consideration, a triple-objective optimization problem (cost-reliability-resilience) was modeled. The problem was then solved using three metaheuristic strategies via the weighted-sum approach. The computational results reflecting the effectiveness of the proposed framework are discussed in detail. © 2017 Taylor & Francis.
%Z cited By 3