COMPARATIVE ANALYSIS ON DECISION CRITERIA FOR PORT PERSONNEL USING HYBRID ANALYTICAL HIERARCHY PROCESS (H-AHP)

• Published in: International Journal of the Analytic Hierarchy Process
• Main Author: Bahri M.S.S.; Shariff S.S.R.; Yahya N.
• Format: Article
• Language: English
• Published: Creative Decisions Foundation 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150910698&doi=10.13033%2fIJAHP.V14I3.974&partnerID=40&md5=dd5900011e08af6f058d58638890f486

The demand for talented labor to serve the maritime logistics, particularly in port operations, is growing as the industry expands globally. This requires professional competency in terms of manpower and skills that must be developed effectively. Furthermore, considering the harm done to the industry from the COVID-19 pandemic, capable professionals in port management are a crucial part to reviving the business and its long-term growth and viability. This study explores the criteria for the needed talent from the perspective of port logistics experts using the following multicriteria decision making (MCDM) approaches: Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization System Method for Enrichment Evaluation (PROMETHEE). The objective of this study is to identify the important criteria for personnel performance evaluation in the port marine logistics industry. In order to determine the performance evaluation framework for personnel performance evaluation, the study uses the AHP method to calculate the weightage of the criteria. The highest weightage is Work Attitude (0.560), followed by Job Performance (0.298) and Work Ability (0.120). Lastly, in order to identify the suitable hybrid MCDM approaches for personnel performance evaluation in the port marine logistics industry, three different MCDM approaches (AHP, TOPSIS and PROMETHEE) were used and the results show that the AHP is the best MCDM method to rank the personnel in the port industry by obtaining the highest Kendall’s Tau coefficient of 0.619 © 2022, International Journal of the Analytic Hierarchy Process.All Rights Reserved.