relation: https://khub.utp.edu.my/scholars/8326/
title: A multi-objective approach for resilience-based plant design optimization
creator: Ganesan, T.
creator: Elamvazuthi, I.
description: 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.
publisher: Taylor and Francis Inc.
date: 2017
type: Article
type: PeerReviewed
identifier:   Ganesan, T. and Elamvazuthi, I.  (2017) A multi-objective approach for resilience-based plant design optimization.  Quality Engineering, 29 (4).  pp. 656-671.  ISSN 08982112     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009810456&doi=10.1080%2f08982112.2016.1255331&partnerID=40&md5=a92db0f01809439cdf64cf1f22e64be5
relation: 10.1080/08982112.2016.1255331
identifier: 10.1080/08982112.2016.1255331