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Multi-criteria Based Selection of Ship-Based Ballast Water Treatment Technologies

In: Advances in Reliability and Maintainability Methods and Engineering Applications

Author

Listed:
  • Eugene Pam

    (Liverpool John Moores University)

  • Alan Wall

    (Liverpool John Moores University)

  • Zaili Yang

    (Liverpool John Moores University)

  • Eddie Blanco-Davis

    (Liverpool John Moores University)

  • Jin Wang

    (Liverpool John Moores University)

Abstract

The reality of selecting an acceptable ballast water treatment technology is a daunting task for end-users, due to availability of numerous treatment options and their efficacy in given ship-types and ballast voyages. Six treatment systems have been selected from the two generic treatment technology groups (physical solid liquid separation and disinfection), and are considered as the decision-making alternatives in the proposed model. The proposed model involves the application of the Technique for Order Performance by Similarity to the Ideal Solution (TOPSIS), in the decision-making analysis. The TOPSIS technique has been applied to obtain the performance ratings of the decision alternatives using linguistic terms parameterised with triangular fuzzy numbers. A sensitivity study is also conducted to identify the effects of changes in input data, and test the suitability of the developed model in decision-making analysis of ballast water treatment systems.

Suggested Citation

  • Eugene Pam & Alan Wall & Zaili Yang & Eddie Blanco-Davis & Jin Wang, 2023. "Multi-criteria Based Selection of Ship-Based Ballast Water Treatment Technologies," Springer Series in Reliability Engineering, in: Yu Liu & Dong Wang & Jinhua Mi & He Li (ed.), Advances in Reliability and Maintainability Methods and Engineering Applications, pages 3-19, Springer.
  • Handle: RePEc:spr:ssrchp:978-3-031-28859-3_1
    DOI: 10.1007/978-3-031-28859-3_1
    as

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