Abstract

In recent times, there have been developments in the maritime industry that underscore the need to optimise operations to yield maximum productivity. Apart from this, stakeholders in this industry have also advocated improvements in seaport operations' critical areas. However, there is no known study in which the relationship between performance criteria and seaport operation measures is investigated. This study proposes a framework for selecting operation measures for the maritime industry. It uses stakeholders' expectations for operational criteria and fuzzy logic to design the framework. Nine criteria were considered in the framework, while Fuzzy VIKOR (VIsekriterijumska optimizacija I KOmpromisno Resenje) and fuzzy Shannon entropy were incorporated into it. The framework's applicability was tested using information that was obtained from Tin can port, Lagos, Nigeria. During this process, hinterland traffic diversion (A1), congestion pricing (A2), off-dock container yards (A3), Fast rail shuttles (A4), expanded rail connections (A5) were considered as alternatives for seaport operational measures. When the developed framework was used to analyse the collected information from Tin Can port, Lagos, Nigeria, the fuzzy VIKOR index ranked the alternatives as A1 » A2 » A3 » A5 » A4. Therefore, this study's insights show that mathematical models can be used to make informed seaports decisions.

Highlights

  • Today's industries are redefining and refining their operations amidst the current COVID-19 pandemic

  • This study proposes a framework for selecting operation measures for the maritime industry

  • This study has presented a framework for operational measures selection in the maritime industry

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Summary

Introduction

Today's industries are redefining and refining their operations amidst the current COVID-19 pandemic. The maritime industry is not excluded from this redefining and refining process because of the level of activities that takes place in seaports Some of these activities are transportation, berth allocation and crane assignment, capital management, risk management, and power mobilisation (Guenther et al, 2006; Vale, Ribeiro, and Branco, 2017). This is to improve the acceptability of a proposed approach among scholars and practitioners in the maritime industry Scholars have eased this process by reporting reviews on the state-of-the-art in the maritime sector (Dirk & Stahlbock, 2004; Wright et al, 2013; Yang et al, 2014). Fang et al (2019) presented an overview of that contains information about making maritime transportation to be green. (Gong and Liu, 2020) discussed a solution method for dealing with the issue of disasters and labour strikes in dry ports

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