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Optimizing Sustainable Electronics Supply Chains Under Carbon Taxation and Fuzzy Demand: A Multi-Goal Programming Approach

2026-03-12T03:49:03Z

標題: Optimizing Sustainable Electronics Supply Chains Under Carbon Taxation and Fuzzy Demand: A Multi-Goal Programming Approach 作者: Chung, Kuang-Yen; Chiu, Rong-Her 摘要: The sustainable transformation of electronics supply chains (ESCs) increasingly relies on effective green supply chain planning under carbon pricing and demand uncertainty. However, prior studies often lack an integrated framework that jointly considers carbon taxation, green technology investment, and profitability-environment trade-offs in forward and reverse supply chains. To address this gap, this study proposes a fuzzy multi-goal optimization model using linear goal programming under progressive carbon taxation. The model incorporates fuzzy demand (triangular fuzzy numbers), carbon emissions, carbon taxes, and green investment costs and is converted into a solvable linear form via a defuzzification-based procedure to simultaneously achieve multiple aspiration levels for economic and environmental objectives. A real-world ESC case validates the model. The results show that carbon taxation and green investments can reduce emissions while maintaining profitability, with total cost and emission sensitivity of +/- 10-20% across different policies and demand uncertainty settings. The findings support adaptive, policy-aware planning by guiding green investment intensity and forward-reverse logistics decisions to balance cost efficiency and emissions reduction and provide actionable insights for managers facing progressive carbon pricing regulations.

A robust color enhancement for underwater images

2026-03-12T03:49:02Z

標題: A robust color enhancement for underwater images 作者: Hu, Kuo-Jui; Pan, Yi-Tsung; Huang, Ching-Chung; Pan, Ya-Ling; Kao, Sheng-Long 摘要: Due to various complex factors in underwater environments. Several issues must to be considered in obtaining clear underwater images, including color cast, low contrast, blurry details, haze, climate, environment and human factors can significantly affect the analysis and research applications of underwater images. The primary causes are the atomization effect caused by dispersion and the color cast caused by inconsistent energy attenuation of each wavelength as light propagates through water. Different original underwater images exhibit varying characteristics, such as diverse color distributions or illumination levels. Applying a single enhancement method to all underwater images may lead to inconsistent results, where some images are effectively enhanced while others are not. To address this issue, this research proposed a novel 2 stage classification-based mechanism after images were dehazed. We employ four image enhancement techniques with proper conditions and proposes a classification-based mechanism for enhancing underwater images. Furthermore, a color correction method based on an improved Gray-World white balance algorithm is introduced. We address the limited dynamic range and brightness issues in underwater images. Quantitative and qualitative results show that our research performs relatively well in the Underwater Image Enhancement Benchmark (UIEB) dataset compared to other recent methods. It is expected to be applied to different types of underwater work and environments, reducing the severe degradation issues commonly encountered in underwater images.

Nano-zirconia coated BaTiO₃ composite for oxygen evolution reaction

2026-03-12T03:37:00Z

標題: Nano-zirconia coated BaTiO₃ composite for oxygen evolution reaction 作者: Saad, Islam; Huang, Wei-Cheng; Amin, Rafat M.; El-Dek, S. I.; Chang, Horng-Yi 摘要: The development of efficient and stable oxygen evolution reaction (OER) electrocatalysts is vital for advancing sustainable energy storage and conversion technologies. In this study, a perovskite-based composite consisting of BaTiO3 (BTO) and nano-ZrO2 was synthesized and systematically investigated for water splitting. Structural analysis revealed a progressive shift of X-ray diffraction peaks to lower angles with increasing crystallite size (43-79 nm). The introduction of ZrO2 enhanced the textural properties, increasing the specific surface area from 7.11 to 9.42 m(2)g(-1) while reducing pore volume due to partial pore filling. Surface morphology and roughness variations were evaluated using field-emission scanning electron microscopy (FESEM) combined with Gwyddion software analysis. Among the composites studied, BTO loaded with 12 wt% ZrO2 (BTO@12 %ZrO2) exhibited the most favorable electrocatalytic performance. This optimized composition delivered a maximum current density of similar to 25 mAcm(-2) at 2.0 V vs. the reversible hydrogen electrode (RHE), with an onset potential of 380 mV. Furthermore, it maintained a stable current density of 5 mAcm(-2) at 470 mV over 12 h. Electrochemical analysis confirmed the highest electrochemical surface area (ECSA, 28 cm(2)) and a Tafel slope of 187 mVdec(-1) for the optimized catalyst. These findings demonstrate that nano-ZrO2 loading significantly enhances the catalytic activity of BaTiO3, establishing BTO@12 %ZrO2 as a promising and cost-effective alternative to noble-metal-based OER electrocatalysts.

Measuring energy and CO₂ efficiency of global airlines using dynamic network DEA under natural and managerial disposability framework

2026-03-12T03:37:00Z

標題: Measuring energy and CO₂ efficiency of global airlines using dynamic network DEA under natural and managerial disposability framework 作者: See, Kok Fong; Guo, Yongli; Yu, Ming-Miin 摘要: Despite strong demand for air transportation, airlines are experiencing profitability and environmental sustainability challenges. This study uses a dynamic network DEA model to evaluate the operational and environmental efficiency of 24 airlines from 2017 to 2019, considering natural disposability, managerial disposability, and unified efficiency. The results show efficiency level based on managerial disposability concept is higher than natural disposability, indicating proactive environmental regulation responses. In addition, high energy and CO2 efficiencies were observed, especially under managerial disposability. However, balancing operational and environmental performance remains challenging, with many airlines struggling to achieve simultaneous improvements. This study offers new perspectives for sustainable development in the industry by assessing airline performance under a unified framework.

DSpace 社群:

Optimizing Sustainable Electronics Supply Chains Under Carbon Taxation and Fuzzy Demand: A Multi-Goal Programming Approach

A robust color enhancement for underwater images

Nano-zirconia coated BaTiO3 composite for oxygen evolution reaction

Measuring energy and CO2 efficiency of global airlines using dynamic network DEA under natural and managerial disposability framework

Nano-zirconia coated BaTiO₃ composite for oxygen evolution reaction

Measuring energy and CO₂ efficiency of global airlines using dynamic network DEA under natural and managerial disposability framework