@article{scholars8326,
         journal = {Quality Engineering},
       publisher = {Taylor and Francis Inc.},
           pages = {656--671},
            year = {2017},
           title = {A multi-objective approach for resilience-based plant design optimization},
            note = {cited By 3},
          volume = {29},
          number = {4},
             doi = {10.1080/08982112.2016.1255331},
        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. {\^A}{\copyright} 2017 Taylor \& Francis.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009810456&doi=10.1080\%2f08982112.2016.1255331&partnerID=40&md5=a92db0f01809439cdf64cf1f22e64be5},
        keywords = {Cost effectiveness, Decomposition system; Hypervolume indicators; Metaheuristic strategy; Objective optimization; resilience, Optimization},
          author = {Ganesan, T. and Elamvazuthi, I.},
            issn = {08982112}
}