Performance enhancement of port logistics: a framework using hybrid approach

Abstract

Purpose Several challenges and issues are involved in successfully managing and improving the port logistics system (PLS) performance. Ports still face issues, including insufficient cargo handling equipment or equipment sharing during loading and unloading, which requires manual container inspection and delays clearance. This research aims to enhance the port logistics performance at one of India's cargo-handling ports. This paper seeks to identify various situations, actors, processes, learnings, actions and performance metrics particular to India's major container handling port.

Design/methodology/approach The study objectives are accomplished using the Situation-Actor-Process–Learning-Action-Performance (SAP-LAP) framework, Fuzzy Analytic Hierarchy Process (FAHP) and Interpretive Ranking Process (IRP). The FAHP prioritises or ranks actions in a fuzzy environment. The ranking obtained by the FAHP method is assessed using the IRP approach.

Findings This study examined action criteria and sub-attributes that define a PLS's effective implementation regarding handling containers in India. The results illustrate that strategic action must be prioritized first, followed by infrastructural and operational development, Technology upgradation and new methods and Training and Development initiatives.

Practical implications This research provides a logical framework for evaluating the importance of various actions throughout the decision-making process. It would assist managers and practitioners in interpreting the impact of critical actions on performance and improving the operation of PLS by constructing resilient and adaptable solutions.

Originality/value The study integrates methodologies like the IRP, SAP-LAP and FAHP. It focuses on various actions for an effective port logistics implementation system. The findings of this study allow decision-makers to understand interpretative reasoning by performing pairwise comparisons among the factors.