COMPARATIVE ANALYSIS ON PORT PERSONNEL SELECTION USING HYBRID ANALYTICAL HIERARCHY PROCESS (h-AHP)

muhamad safuan, s.sarifah radiah shariff, nazry yahya, nur syaza izurin zolkefley

Abstract


Logistics industry plays an important role in the nation’s economic and social opportunities in delivering positive multiplier effects such as improved market accessibility and occupation. Every aspect of logistics, namely maritime logistics is growing not only in specific nation but also globally. This reflects on the need for qualified, innovative and performed individuals to fill the manpower force. This study focuses on specific criteria required for marine logistics personnels especially in port operations and application of multi criteria decicion making approaches (MCDM) in analysing the selection of candidates. The results show that all approaches end up with the same candidate to be the best personnel hence supporting the consistency in decision making.

 


Keywords


Port personnel, Multi criteria decision making, Analytical Hierarchy process, PROMETHEE, maritime logistics

Full Text:

PDF

References


Demirci, A. E., & KILIÇ, H. S. (2019). Personnel selection based on integrated multi-criteria decision making techniques. International Journal of Advances in Engineering and Pure Sciences, 31(2), 163-178.

Ramsey, P. H. (1989) Critical values for Spearman’s rank-order correlation. Journal of Educational Statistics Fall 1989, Vol 14, No. 3, pp. 245-253

Lee, A. H. L. Chen W. C. and Chang C. J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications. Vol 34, Issue 1, pp 96-107

Qu, Q., Chen, K., Wei, Y., Liu, Y., Tsai, S., & Dong, W. (2015). Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry, Mathematical Problems in Engineering, Volume 2015, Article ID 361275

https://unctad.org/webflyer/review-maritime-transport-2019 (downloaded on March 12, 2020)

https://www.nst.com.my/education/2017/11/308713/sea-career-opportunities (downloaded on March 31, 2020)

KORKMAZ, O. (2019). Personnel selection method based on TOPSIS multi-criteria decision making method. Uluslararas? ?ktisadi ve ?dari ?ncelemeler Dergisi, (23), 1-16.

Cicek, K., Akyuz, E., & Celik, M. (2019). Future skills requirements analysis in maritime industry. Procedia Computer Science, 158, 270-274.

Kececi, T., Bayraktar, D., & Arslan, O. (2015). A ship officer performance evaluation model using fuzzy-ahp. Journal of Shipping and Ocean Engineering, 5, 26-43.

Küçüko?lu, ?., Yagmahan, B., Onayl?, A., Çayhan, E. D., & Ünal, M. (2017). Application of Goal Programming Integrated Multi-Criteria Decision Making Approaches for the Stock Area Selection Problem of an Automotive Company. International Journal of Supply Chain Management, 6(3), 187-198.

Saaty, T.L., (1990). How To Make Decision: The Analytic Hierarchy Process, European Journal of Operational Research,North_Holland, 48, 9-26

https://themalaysianlawyer.com/2020/05/29/retrenchments-recent-cases/ (downloaded on May 27, 2020).




DOI: https://doi.org/10.25292/atlr.v4i0.366

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Advances in Transportation and Logistics Research

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Advances in Transportation and Logistics Research

ISSN: 2622-5778 (online)
Published by: Institut Transportasi dan Logistik Trisakti, Jakarta - Indonesia

ATLR by http://proceedings.itltrisakti.ac.id/index.php/ATLR is licensed under a Creative Commons Attribution 4.0 International License.