Optimal Selection and Ranking of Port Operation Contractors in a Selected Port Using the Best-Worst Method

Selecting competent contractors for port operations is a critical yet complex multi-criteria decision-making challenge, significantly impacting operational efficiency and service quality. Despite its importance, many ports rely primarily on financial bids, overlooking qualitative and technical factors, leading to suboptimal contractor performance. This study develops a comprehensive and systematic evaluation framework based on the Best-Worst Method (BWM) to address these challenges by integrating expert judgments and prioritizing both quantitative and qualitative criteria. The method reduces the number of pairwise comparisons and enhances consistency, providing a transparent and reliable decision-making tool for port authorities. In this study, fourteen initial criteria were identified through extensive literature review and expert consultation, which were then refined to six key criteria for evaluation. The proposed model was implemented using GAMS software to rank three candidate contractors. Results highlight the paramount importance of relevant experience, equipment quality, and financial strength in contractor selection, with the framework successfully distinguishing the most suitable contractor. The findings offer strategic insights for port managers to improve contractor selection, mitigate risks, and enhance operational outcomes. This study fills a significant gap by applying BWM specifically in the context of port contractor evaluation, contributing a novel decision-support tool that can be adapted for broader maritime logistics applications. Future research is encouraged to incorporate emerging technological and sustainability factors and integrate real-time data analytics to further refine the evaluation process.

Authors

Institutions

Publication Details

Journal
Applied Innovations in Industrial Management
Published
2025-01-01
DOI
https://doi.org/10.63630/aiim.53.1
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Selection and Ranking of Port Operation Contractors in a Selected Port Using the Best-Worst Method

Hamid Reza Ahadi, M T Ahmadi, Masoud Khakbazan, Alireza Salmeh et al.
Applied Innovations in Industrial Management
Maritime Ports and Logistics
article

Optimal Selection and Ranking of Port Operation Contractors in a Selected Port Using the Best-Worst Method

Hamid Reza Ahadi, M T Ahmadi, Masoud Khakbazan, Alireza Salmeh, Mahoor Rostamkhani
article en

Abstract

Selecting competent contractors for port operations is a critical yet complex multi-criteria decision-making challenge, significantly impacting operational efficiency and service quality. Despite its importance, many ports rely primarily on financial bids, overlooking qualitative and technical factors, leading to suboptimal contractor performance. This study develops a comprehensive and systematic evaluation framework based on the Best-Worst Method (BWM) to address these challenges by integrating expert judgments and prioritizing both quantitative and qualitative criteria. The method reduces the number of pairwise comparisons and enhances consistency, providing a transparent and reliable decision-making tool for port authorities. In this study, fourteen initial criteria were identified through extensive literature review and expert consultation, which were then refined to six key criteria for evaluation. The proposed model was implemented using GAMS software to rank three candidate contractors. Results highlight the paramount importance of relevant experience, equipment quality, and financial strength in contractor selection, with the framework successfully distinguishing the most suitable contractor. The findings offer strategic insights for port managers to improve contractor selection, mitigate risks, and enhance operational outcomes. This study fills a significant gap by applying BWM specifically in the context of port contractor evaluation, contributing a novel decision-support tool that can be adapted for broader maritime logistics applications. Future research is encouraged to incorporate emerging technological and sustainability factors and integrate real-time data analytics to further refine the evaluation process.

Applied Innovations in Industrial ManagementVol. 5(3)
Iran University of Science and Technology (IR)
Openalex Percentile: Top 75%
Maritime Ports and Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.