eprintid: 8326
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/83/26
datestamp: 2023-11-09 16:20:13
lastmod: 2023-11-09 16:20:13
status_changed: 2023-11-09 16:12:22
type: article
metadata_visibility: show
creators_name: Ganesan, T.
creators_name: Elamvazuthi, I.
title: A multi-objective approach for resilience-based plant design optimization
ispublished: pub
keywords: Cost effectiveness, Decomposition system; Hypervolume indicators; Metaheuristic strategy; Objective optimization; resilience, Optimization
note: cited By 3
abstract: 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.
date: 2017
publisher: Taylor and Francis Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009810456&doi=10.1080%2f08982112.2016.1255331&partnerID=40&md5=a92db0f01809439cdf64cf1f22e64be5
id_number: 10.1080/08982112.2016.1255331
full_text_status: none
publication: Quality Engineering
volume: 29
number: 4
pagerange: 656-671
refereed: TRUE
issn: 08982112
citation:   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