Tinjauan Sistematik Literatur: Trade-Off antara Specialization dan Flexibility dalam Ship Design serta Dampaknya terhadap Economic Performance dan Operational Utilization

Authors

  • Sitti Rahmiatin Universitas Halu Oleo
  • Eliyanti Agus Mokodompit Universitas Halu Oleo

DOI:

https://doi.org/10.55606/jimek.v6i1.9146

Keywords:

Economic Performance, Flexibility, Operational Utilization, Ship Design, Specialization

Abstract

It is a challenge for the maritime industry to optimize ship design in order to enhance economic performance and operational utilization by balancing specialization and flexibility.  According to a comprehensive analysis of the literature conducted between 2020 and 2025, specialist ships like bulk and container carriers can reach cost reductions of about 30–40% with utilization rates of about 85–92%, although they are also susceptible to fluctuations in the market.  However, flexible vessels, also known as multifunctional vessels, have greater capital and operational expenditures but offer stable revenue and good utilization.  These disparities can be reduced by implementing digital technologies like artificial intelligence, digital twins, and machine learning, which will improve economic performance by 15% to 20% while reducing fuel and maintenance expenses.  As a result, ship owners' risk tolerance, operational needs, and long-term vision all influence investment choices.  In order to facilitate better decision-making in the evolution of the maritime industry period, this study proposes a comprehensive strategy combined with the four primary variables.

References

Adzam, M. (2025). Analisis kemandirian fiskal dan potensi ekonomi dalam pemekaran wilayah: Studi kasus calon DOB Provinsi Kepulauan Buton. Prima Ekonomika, 16(1), 84–102. https://doi.org/10.37330/prima.v16i1.283

Adzam, M., Lubis, M. M., Rahmayani, M. W., Kusumastuti, S. Y., Kusumawardhani, F., Juniartika, S., & Fathah, R. N. (2025). Dinamika kebijakan fiskal dan moneter di Indonesia. Star Digital Publishing.

Bagekari, A. (2025). Multi purpose vessels market report 2025. Cognitive Market Research. https://www.cognitivemarketresearch.com/multi-purpose-vessels-market-report

Calvache, M., Pruyn, J., & Napoleone, A. (2025). Navigating shipbuilding 4.0: Analysis and classification of technologies for the digital transformation of the sector. Ship Technology Research, 1–17. https://doi.org/10.1080/09377255.2025.2522600

DataHorizon Research. (2024). Multi purpose vessels market. https://datahorizzonresearch.com/request-sample-pdf/multi-purpose-vessels-market-29150

Development, O. for E. C. and. (2023). Analysis of maritime equipment industry and its challenges. OECD.

Godet, A., Panagakos, G., Barfod, M. B., & Lindstad, E. (2024). Operational cycles for maritime transportation: Consolidated methodology and assessments. Transportation Research Part D: Transport and Environment, 132, 104238. https://doi.org/10.1016/j.trd.2024.104238

Hasan, S. M. R., Islam, M. S., Awal, Z. I., & Hossain, K. A. (2025). Prediction and optimization of efficient ship design particulars through advanced machine learning approaches. Ocean Engineering, 341, 122572. https://doi.org/10.1016/j.oceaneng.2025.122572

Kim, K.-S., & Roh, M.-I. (2024). Review of ship arrangement design using optimization methods. Journal of Computational Design and Engineering, 12(1), 100–121. https://doi.org/10.1093/jcde/qwae112

Koukaki, T., & Tei, A. (2020). Innovation and maritime transport: A systematic review. Case Studies on Transport Policy, 8(3), 700–710. https://doi.org/10.1016/j.cstp.2020.07.009

Lau, Y., Chen, Q., Poo, M. C.-P., Ng, A. K. Y., & Ying, C. C. (2024). Maritime transport resilience: A systematic literature review on the current state of the art, research agenda and future research directions. Ocean & Coastal Management, 251, 107086. https://doi.org/10.1016/j.ocecoaman.2024.107086

Limited, P. R. and M. P. (2024). Bulk carrier ships decade long trends, analysis and forecast 2025–2033.

Rehn, C. F., Pettersen, S. S., Erikstad, S. O., & Asbjørnslett, B. E. (2018). Investigating tradeoffs between performance, cost and flexibility for reconfigurable offshore ships. Ocean Engineering, 147, 546–555. https://doi.org/10.1016/j.oceaneng.2017.11.004

Salman, M. (2025). Exploring economic and cargo efficiencies in the global shipping sector: A convergence analysis. Journal of Cleaner Production, 501, 145298. https://doi.org/10.1016/j.jclepro.2025.145298

Sapovadia, V. (2025). Principles of economics in the maritime industry: Market forces, elasticity, consumer demand, and production theory in the context of rapid technological advancements. MPRA.

Simanjuntak, R., Sibarani, M., Cahyadi, T., Sihombing, D. W., Bernadtua, M., & Yuherlina, R. (2025). Prediction of ship time in port using machine learning algorithm. International Journal of Marine Engineering Innovation and Research, 10(2), 320–328. https://doi.org/10.12962/j25481479.v10i2.6371

Stopford, M. (2008). Maritime economics (3rd ed.). Routledge. https://doi.org/10.4324/9780203891742

Winter, R. de, Stein, N. van, Bäck, T., & Muller, T. (2021). Ship design performance and cost optimization with machine learning. http://data.hiper-conf.info/compit2021_muelheim.pdf

Xu, S., Dai, Y., Zhou, T., & Wang, D. (2025). Modular rapid prototyping design method for container ships. Ocean Engineering, 326, 120914. https://doi.org/10.1016/j.oceaneng.2025.120914

Downloads

Published

2025-12-11

How to Cite

Rahmiatin, S., & Mokodompit, E. A. (2025). Tinjauan Sistematik Literatur: Trade-Off antara Specialization dan Flexibility dalam Ship Design serta Dampaknya terhadap Economic Performance dan Operational Utilization. Jurnal Ilmu Manajemen, Ekonomi Dan Kewirausahaan, 6(1), 69–77. https://doi.org/10.55606/jimek.v6i1.9146

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.