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Modelling Interdependency Among Attributes in MCDM: Its Application in Port Performance Measurement

In: Multi-Criteria Decision Making in Maritime Studies and Logistics

Author

Listed:
  • Min-Ho Ha

    (Liverpool John Moores University)

  • Zaili Yang

    (Liverpool John Moores University)

Abstract

The measurement of port and terminal performance may require an essential understanding of the cause-effect relationship among the influencing factors and criteria. Port performance indicators (PPIs) can interact with and feedback themselves (inner dependency) and/or each other (outer dependency). However previous studies have done little on the analysis of interdependency among the PPIs. This chapter aims to propose a new conceptual PPIs’ interdependency model using a hybrid approach of a fuzzy logic based evidential reasoning (FER), a decision making trial and evaluation laboratory (DEMATEL) and an analytic hierarchy process (AHP). The combined approach of DEMATEL and AHP is applied to calculate the weights of dependent PPIs which are used as a part of the FER model to measure and analyse the performance of six container terminals in Korea from different port stakeholders’ perspectives. The empirical results indicate that the hybrid approach offers a diagnostic instrument to container terminals in identifying the particular areas for improvement to enhance their competitiveness.

Suggested Citation

  • Min-Ho Ha & Zaili Yang, 2018. "Modelling Interdependency Among Attributes in MCDM: Its Application in Port Performance Measurement," International Series in Operations Research & Management Science, in: Paul Tae-Woo Lee & Zaili Yang (ed.), Multi-Criteria Decision Making in Maritime Studies and Logistics, chapter 0, pages 323-354, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-62338-2_12
    DOI: 10.1007/978-3-319-62338-2_12
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    Cited by:

    1. Milad Zamanifar & Timo Hartmann, 2020. "Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1-25, October.
    2. Milad Zamanifar & Timo Hartmann, 2021. "A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems," Environment Systems and Decisions, Springer, vol. 41(4), pages 633-650, December.

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