2016
DOI: 10.1080/17445302.2016.1230039
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Understanding lifecycle cost trade-offs for naval vessels: minimising production, maintenance, and resistance

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Cited by 6 publications
(5 citation statements)
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“…) to highly capitalized, mobile assets such as ocean carriers. Shipping organizations may find the study results helpful in understanding how ship safety influences maintenance of vessel fleets with varying life cycles, adding to the predominantly architecture and engineering perspectives of ship maintenance (Garg and Deshmukh ; Temple and Collette ).…”
Section: Discussionmentioning
confidence: 99%
“…) to highly capitalized, mobile assets such as ocean carriers. Shipping organizations may find the study results helpful in understanding how ship safety influences maintenance of vessel fleets with varying life cycles, adding to the predominantly architecture and engineering perspectives of ship maintenance (Garg and Deshmukh ; Temple and Collette ).…”
Section: Discussionmentioning
confidence: 99%
“…However, they focused only on the features of the platform and ignored the preferences of the users while this study takes into consideration both owner and user demands to reach the optimal combination of equipment needed to upgrade the shipyard. In another work, Temple and Collette 12 tried to optimize the production, maintenance, and resistance costs throughout the life cycle of naval vessels. Although using a genetic algorithm, like the current study, they only concentrated on costs and overlooked time factors.…”
Section: Comparison Between the Current Research And Previous Studiesmentioning
confidence: 99%
“…10 For example, Zvaigzne et al 11 developed a decision support system to optimize the design of a specialized maritime platform based on genetic algorithms. Temple and Collette 12 adopted multi-objective optimization methods to find an optimum point in lifecycle cost trade-offs for naval vessels. They used Pareto Front to assess and optimize three objectives, including minimizing production, maintenance, and resistance costs, at the same time and a genetic algorithm to search the decision space made by decision variables.…”
Section: Introductionmentioning
confidence: 99%
“…Bayesian probabilistic network-based consequence models have been used to derive target reliability indices for the design of FPSOs (Faber et al 2012;Heredia-Zavoni et al 2012). A multidisciplinary optimization of vessel costs with an enhanced multiple-objective collaborative optimizer was developed for the design of naval ships (Temple & Collette 2017).…”
Section: Introductionmentioning
confidence: 99%