A multi-objective approach for resilience-based plant design optimization. Issue Volume 29:Issues 4(2017) (2nd October 2017)

• Record Type: Journal Article
• Authors: Ganesan, T.; Elamvazuthi, I.
• Is Part Of: Quality engineering. Volume 29:Issues 4(2017)
• Page Start: 656
• Page End: 671
• Publication Date: 2017-10-02
• Subjects: decomposition system -- hypervolume indicator -- metaheuristic strategies -- resilience -- triple-objective optimization; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2016.1255331
• Languages: English
• ISSNs: 0898-2112

Abstract

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.