A multi-objective approach for resilience-based plant design optimization
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 becom...
| Main Authors: | Ganesan, T., Elamvazuthi, I. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19315 / |
| Published: |
Taylor and Francis Inc.
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009810456&doi=10.1080%2f08982112.2016.1255331&partnerID=40&md5=a92db0f01809439cdf64cf1f22e64be5 http://eprints.utp.edu.my/19315/ |
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| Summary: |
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. |
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