This research project was a collaboration with the Institute for Research and Community Service at Universitas Hasanuddin, which provided financial and administrative support under research contract number 00323/UN4.22/PT.01.03/2023. Additionally, the Lean Manufacturing Laboratory, Department of Industrial Engineering, and PT Toyota Motor Manufacturing Indonesia actively participated in this research process and provided data for profit comparison analysis in production system simulation based on lean principles.
As a result, companies can achieve effective and efficient processes if they implement continuous improvements for sustainability. While companies are generally aware of waste in production processes, they often do not measure or analyze this waste, including unit cost and profit. A production system that minimizes unit costs and maximizes profits is therefore needed, with the lean concept being one such approach. This study aimed to analyze the unit cost and profit generated in production systems that apply lean principles, using simulations of Heijunka, Jidouka, and Kanban System. These concepts were applied to a production system simulation using miniature cars, comparing unit costs and profits with traditional production systems and the pull system. The results indicated that unit costs decreased and profits increased across simulations 1 through 6. Simulations 1 and 2, which implemented the traditional system, showed no profit, while simulations 3 through 6, which applied lean principles, demonstrated increased profits. Although simulations adopting the lean concept showed reduced unit costs and increased profits, the methods employed differed. Ultimately, production systems that embrace the lean concept can help companies achieve economic sustainability.
The results of this this research project was published in Acta Logistica - International Scientific Journal about Logistics Volume: 10, Issue: 4, Pages: 625 - 636, https://doi.org/10.22306/al.v10i4.441. The journal is indexed by Scopus with Q3, SJR 0.28.
The China Merchants Energy Shipping supported in an article processing fee for journal publications. As feedback, I provided a procedure for evaluating the interdependencies, implications, and correlations among various seaport risk factors for supply chain threats, specifically by investigating current practices in the developed economic region of Indonesian seaport operations. The study uses a rough set method to solve feature selection problems and multivariate analysis of variance to assess the correlation between dependent and independent variables. We find 39 conditional seaport risk factors that are potentially influenced by about 21 dependent factors related to seaport-fulcrum supply chain entities. Furthermore, threats from the planning process, infrastructure, seaport service process, distribution process, financial costs of nuclear enterprises and security existed and affluent highest potential risk in Indonesia.
This study evaluated parameter importance for Indonesian supply chain threats using RSGA to identify features and MANOVA to assess correlations among seaport risk factors and their dimensional threats. A decision protocol with rough set rule induction was used to determine the highest potential risks. The findings revealed that 21 conditional seaport risk factors can predict 39 dependent conditional seaport risks, with 15 features identified as having the highest potential risk. This research contributes to the literature by analyzing seaport operational deficiencies that may disrupt supply chain continuity in Indonesia, offering predictive models that highlight areas for improvement and providing a universal list of indicators for all ports.
The results of this this research paper project was published in Journal of Shipping and Trade, Volume: 8, Issue: 6, Publisher Springer, https://doi.org/10.1186/s41072-023-00137-w. The journal is indexed by Scopus with Q1, SJR 0.6. Furthermore, this study also was presented in the International Association of Maritime Economists Conference 2022 (IAME Conference 2022)
This research was funded by the Indonesia Endowment Fund for Education (LPDP), Ministry of Finance, Republic of Indonesia (Kementerian Keuangan Republik Indonesia) through a scholarship scheme (Grant No. S-1975/LPDP.4/2022). The dissertation research project was focused on modeling and assessing interdependencies between conditional seaport risk factors that could lead to some potential threat to disrupt the supply chain. In realization, we addressed 10 potential threats and 61 conditional seaport risk factors that were sourced from an extensive literature review, accident reports, and discussions with some maritime supply chain stakeholders. We selected Indonesia – an archipelagic country – as a study case due to its complexities environmental in maritime supply chain management. After that, we proposed four topics that were well written in my dissertation to elaborate and reveal the path of dependency from this correlation. The whole fourth proposed topic started by constructing a risk model by using a soft computing approach. Then, analyze the significant conditional seaport risk and threat factors that have a high possibility to harm supply chain continuity in the archipelagic context. Three of the four topics were already published in reputable international journals, such as the Asian Journal of Shipping and Logistics (https://doi.org/10.1016/j.ajsl.2022.08.003, Indexed by SCOPUS with Q2 and SJR 0.83), the Journal of Marine Science and Engineering (https://doi.org/10.3390/jmse10101484, Indexed by SCOPUS with Q2 and SJR 0.58), and the Journal of Shipping and Trade (https://doi.org/10.1186/s41072-023-00137-w, Indexed by SCOPUS with Q1, SJR 0.6). The last topic was published in Maritime Business Review journal (https://doi.org/10.1108/MABR-01-2025-0001. Indexed by SCOPUS with Q2, SJR 0.59).
This research project is supported by the Indonesian Port’s Authority, PT. Pelabuhan Indonesia (PELINDO), Persero—Regional 2, Regional 3, and Regional 4 (Ms. Dini Ayu Praditya - Human Capital Development, Mr. Arif Prananda, Mr. Oscar Yogi Yustiano, and many more), PT. Kalla Lines, and other seaport-user companies for providing the data for our research. We also thank to A. Besse Riyani Indah (Lecturer), Ridwan Hernadi Basri, Yesi Sukma, Rikah Octaviana, Ni Luh Sri Winiarti, Muhammad Fadil, and Maula Sidi Muhammad from department of industrial engineering, Hasanuddin University to help us collecting the sampling data.