TY  - JOUR
Y1  - 2017///
ID  - scholars8326
N2  - 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.
KW  - Cost effectiveness
KW  -  Decomposition system; Hypervolume indicators; Metaheuristic strategy; Objective optimization; resilience
KW  -  Optimization
AV  - none
VL  - 29
SN  - 08982112
SP  - 656
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009810456&doi=10.1080%2f08982112.2016.1255331&partnerID=40&md5=a92db0f01809439cdf64cf1f22e64be5
A1  - Ganesan, T.
A1  - Elamvazuthi, I.
PB  - Taylor and Francis Inc.
JF  - Quality Engineering
TI  - A multi-objective approach for resilience-based plant design optimization
EP  - 671
N1  - cited By 3
IS  - 4
ER  -