A Fuzzy Bayesian Belief Network Approach for Assessing the Operational Reliability of a Liner Shipping Operator

J, . WANG and N. H. MOHD, SALLEH and R, . RIAHI and Z, . YANG (2014) A Fuzzy Bayesian Belief Network Approach for Assessing the Operational Reliability of a Liner Shipping Operator. In: A Fuzzy Bayesian Belief Network Approach for Assessing the Operational Reliability of a Liner Shipping Operator, 20 - 21 December, 2014, Kuala Lumpur, Malaysia.

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Abstract

Container liner shipping is a highly competitive industry. With today’s competitive environment, many liner shipping operators have acknowledged that having high operational reliability is a vital element for better overall performance and commitment to achieve a better competitive advantage. Operational reliability has become a key element for liner shipping operators to distinguish themselves from their competitors in the container liner shipping industry. This paper proposes a novel mathematical model for assessing operational reliability of a liner shipping operator using a combination of different decision-making techniques such as a symmetric model, Fuzzy Set Theory, and Bayesian Belief Network (i.e. Fuzzy Bayesian Belief Network). This assessment model is capable of helping liner shipping operators to conduct a self-assessment of operational reliability for enhancing their business performance in the container liner shipping industry.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: — Assessment model, operational reliability, liner shipping operator, symmetric model, fuzzy set theory, Bayesian belief network.
Depositing User: Mr. John Steve
Date Deposited: 17 Apr 2019 06:33
Last Modified: 17 Apr 2019 06:33
URI: http://publications.theired.org/id/eprint/1259

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