Decision Making and Analysis https://ojs.luminescience.cn/DMA <p><em>Decision Making and Analysis</em> (DMA) is an international peer-reviewed journal and publishes research articles, reviews, case reports and conceptual papers that present theoretical, practical, statistical and modeling techniques and methods for scientific analysis so as to make informed and optimal decision. As an interdisciplinary journal, DMA welcomes manuscripts related to economics, machine learning, clinical and healthcare decision, statistical decision theory, operations research, forecasting, behavioral decision theory and cognitive psychology.</p> en-US <p>Copyright licenses detail the rights for publication, distribution, and use of research. Open Access articles published by Luminescience do not require transfer of copyright, as the copyright remains with the author. In opting for open access, the author(s) should agree to publish the article under the CC BY license (Creative Commons Attribution 4.0 International License). The CC BY license allows for maximum dissemination and re-use of open access materials and is preferred by many research funding bodies. Under this license, users are free to share (copy, distribute and transmit) and remix (adapt) the contribution, including for commercial purposes, providing they attribute the contribution in the manner specified by the author or licensor.</p> editor-dma@luminescience-press.com (Editorial Office of DMA) tech@luminescience.cn (Technician) Tue, 17 Dec 2024 00:00:00 +0800 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 Research on inclination angle design of container loading and unloading platform based on sliding rail type three-dimensional wharf https://ojs.luminescience.cn/DMA/article/view/313 <p>At present, the traditional container terminal handling system has many problems, such as high energy consumption, high cost and low efficiency. Therefore, this study drew on the characteristics of "hump" transportation to design a sliding track type, three-dimensional wharf handling system. Meanwhile, considering the design problem of safety dip angle during the loading and unloading operation of the sliding rail terminal, this study constructed the calculation model of the optimal dip angle of the sliding rail operation. This provides a decision support for the improvement of the port handling system. Based on the aforementioned questions, this study first quantified the effects of temperature, humidity and container material. The correction factor for the friction coefficient was obtained. Secondly, combined with the classical mechanics theory, this study developed an optimal calculation model for the inclination of the sliding rail operation under the comprehensive effect of multiple factors. Finally, this study verified the rationality and safety of the optimal dip angle for a specific numerical case of a port. The results show that the safe inclination angle calculated in this case is 21.9°, which meets the requirements of safe operation. The applicability of the above research is verified.</p> Taiyang Li, Mingjie Li, Fangwei Zhang, Muran Wang, Mengchen Wang Copyright © 2024 Taiyang Li, Mingjie Li, Fangwei Zhang, Muran Wang, Mengchen Wang https://creativecommons.org/licenses/by/4.0 https://ojs.luminescience.cn/DMA/article/view/313 Tue, 17 Dec 2024 00:00:00 +0800 Embracing opportunities and minimizing risks: leveraging decision models for project selection in Southeast Asian countries https://ojs.luminescience.cn/DMA/article/view/327 <p>In real estate investments in Southeast Asia, decisions worth billions of dollars are usually made without systematic analysis, leading to project failures. This paper presents a novel two-tier matrix method that combines the decision on country-project selection into a model. This model could assist real estate investors to select the right projects in Indonesia, Malaysia and Thailand, which is significantly under-reported. We used the Analytic Hierarchy Process (AHP) and the Weighted Sum Method (WSM) to create a matrix model to analyse investment projects. The results are encouraging and indicate that Malaysia is the best country for real estate investment, followed by Thailand and Indonesia respectively. This study also simulates the decision making of very experienced to inexperienced investors. It concluded that the two-tier decision model can safeguard investors from making intuitive decision mistakes and help them to make informed decisions when selecting investment projects in Southeast Asian countries.</p> Wilson WK YEH, Gang HAO Copyright © 2025 Wilson WK YEH, Gang HAO https://creativecommons.org/licenses/by/4.0 https://ojs.luminescience.cn/DMA/article/view/327 Wed, 05 Feb 2025 00:00:00 +0800