Article
Green & Sustainable Science & Technology
Valentina Di Pasquale, Raffaele Iannone, Maria Elena Nenni, Stefano Riemma
Summary: Existing models for order allocation mainly consider environmental attributes and neglect economic and social attributes. Therefore, this paper proposes a model for green order allocation in a high operational variability supply chain, which considers uncertainty, limited capacity, minimum levels, and scores of suppliers, as well as emissions related to production, ordering, maintenance, and transport. The validation of the model shows that it achieves lower costs and TBL impacts compared to models that only consider TBL scores in supplier selection, thus helping firms increase sustainability throughout the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Xiaojing Chen, Hanfei Wen, Wei Ni, Shunqing Zhang, Xin Wang, Shugong Xu, Qingqi Pei
Summary: The paper introduces a new online policy, DORL, which enables edge servers and serving devices to minimize energy cost and consumption in a fully distributed manner by interpreting the server's battery as a virtual queue. The DORL provides a feasible and asymptotically optimal solution with a cost-backlog tradeoff, reducing system cost by nearly 50% in simulations compared to existing benchmarks.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Business
Lena E. Bygballe, Anna Dubois, Marianne Jahre
Summary: This paper proposes an alternative approach to managing supply chain disruptions by emphasizing interdependence and relationships as key resources. It suggests collaboration relying on an interplay between temporary and permanent organizing as a starting point.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Business
Xue-Feng Shao, Wei Liu, Yi Li, Hassan Rauf Chaudhry, Xiao-Guang Yue
Summary: While industry 4.0 has gained some traction, smart supply chains are still in their early stages with limited research on implementation issues at the supply chain level. This study takes an exploratory approach to examine the implementation of industry 4.0 concepts across multiple tiers of the supply chain and proposes a multistage implementation framework.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Management
Matias G. G. Enz, Douglas M. M. Lambert
Summary: This research examines the differentiation of managers in allocating resources for different types of partnership relationships. The findings suggest that managers tend to over-resource low potential relationships while under-resourcing high potential ones. The study highlights the importance of establishing a formal partnership model to guide resource allocation and management implementation.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Agronomy
Xiangzhen Peng, Xin Zhang, Xiaoyi Wang, Haisheng Li, Jiping Xu, Zhiyao Zhao
Summary: This study focuses on the issue of food safety in the rice supply chain. By developing a multi-chain collaborative model and implementing mechanisms such as trusted chains, encryption, and consensus, the study effectively addresses the real-time data interaction problem and ensures trustworthy management and control of information in the rice supply chain. The research provides valuable insights for the digital transformation of the food industry.
Article
Business
Sam Solaimani, Jack van der Veen
Summary: This study proposes a conceptual framework for supply chain innovation based on the ambidextrous capabilities of purpose, span, and orientation. Five propositions explain the link between these capabilities and supply chain innovation. It is an early attempt to explore how supply chains can facilitate a more open approach towards innovation based on existing theories and literature on open innovation and supply chain collaboration.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Wennan Zhang, Chenglin Yu, Ray Y. Zhong
Summary: Effective management of the prefabrication construction supply chain management requires rational resource allocation and Just-in-Time delivery. This paper proposes a resource allocation model with a penalty mechanism to minimize costs and strategically allocate resources. The research considers practical considerations such as storage limitations and penalty for unpunctual delivery. The results demonstrate the effectiveness of the proposed model in optimizing resource allocation and saving costs.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Social Sciences, Interdisciplinary
Jianting Xia, Haohua Li, Zhou He
Summary: Blockchain technology holds significant potential for application in supply chain operations. This paper provides a systematic review of blockchain-based supply chain case studies, highlighting its advantages in traceability and transparency. It also proposes a conceptual model and discusses potential applications of blockchain technology in supply chain collaboration. The study contributes to the existing work on enhancing supply chain collaboration using blockchain technology.
Article
Engineering, Industrial
Tarun Kumar Agrawal, Jannis Angelis, Wajid Ali Khilji, Ravi Kalaiarasan, Magnus Wiktorsson
Summary: Blockchain technology can provide traceability, transparency, and trust in business networks, enabling resource sharing beyond traditional supply chains. This study presents a collaborative framework based on smart contracts to support operations in broader networks and ecosystems. A demonstrator framework was developed and verified on the Ethereum blockchain.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Patricia Calicchio Berardi, Renata Peregrino de Brito
Summary: The circular economy is a valid alternative to the current linear model, but requires significant development and innovation, and organizations must collaborate to find common solutions. Supply chain collaboration is fundamental to the advancement of a circular economy, but faces various constraints. The ability to select partners and build trusting relationships is crucial for successful collaboration.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Computer Science, Information Systems
Saidi Atanda Mustapha, Mouhamad Shaker Ali Agha, Tariq Masood
Summary: This study investigates the academic state of the art and advances in using collaborative resource sharing as a reactive method for supply chain recovery. The findings show that collaborative sharing of labor and material resources is effective for supply chain recovery, with labor resources contributing more to the recovery process. The combination of information resources and material resources is crucial in reducing the impact of disruptive supply chain risks caused by COVID-19.
Article
Management
Abderahman Rejeb, John G. Keogh, Steven J. Simske, Thomas Stafford, Horst Treiblmaier
Summary: This study explores the potentials of blockchain technologies in supply chain collaboration, finding that BC can streamline information sharing processes, support decision and reward models, and strengthen communication with partners. It suggests that BC promises important future capabilities in supply chains by enhancing transparency and trust in relationships between transaction partners.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Wumin Ke
Summary: This paper utilizes blockchain technology to help construction enterprises obtain low-interest bank loans, reducing financing costs and improving the financial supply chain. It also innovates financial management of construction enterprises, solves the transformation problem, and promotes sustainable development.
Article
Computer Science, Artificial Intelligence
Guanghui Yuan, Shan Wu, Bin Wang
Summary: This paper presents a supply chain management model based on machine learning and human-computer interaction technology. By processing and analyzing data from wireless sensor networks, it aims to meet the needs of modern supply chain management. Furthermore, improvements are made to the wireless sensor network to meet the operational requirements of the supply chain model.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Industrial
Ming-Chuan Chiu, Kai-Hsiang Chuang
Summary: Omni-channel marketing, with the help of shared data, aims to improve and enhance customer experience, while artificial intelligence plays an increasingly important role in marketing analysis. The study developed an omni-channel chatbot integrating multiple platform components, aiming to achieve personalized service and precision marketing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Ming-Chuan Chiu, Jih-Hung Huang, Saraj Gupta, Gulsen Akman
Summary: As consumers shift their focus towards value, companies are utilizing Product Service Systems to provide tangible products with intangible services, including customized solutions. The study proposes a method involving natural language processing for data analysis and a recommendation system with deep learning for personalized services to bridge the gap in research. This personalized Smart PSS method highlights the active role of customers as data producers, contributing to a value co-creation process with service providers.
COMPUTERS IN INDUSTRY
(2021)
Article
Green & Sustainable Science & Technology
Tsai-Chi Kuo, Ni-Ying Hsu, Reza Wattimena, I-Hsuan Hong, Chin-Jung Chao, Jonathan Herlianto
Summary: In a circular economy, EPR is a regulatory approach that considers environmental costs, requires an integrated framework, and financial incentives; Indonesian companies hope the government will establish a recycling fund system optimized through a system dynamic model for sustainable decision-making.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Tsai-Chi Kuo, Ni-Ying Hsu, Tzu Yi Li, Chin-Jung Chao
Summary: Due date control (DDC) is an important competitive ability for enterprises, utilizing Industry 4.0 technologies for real-time processing information collection. This study introduces a work-in-process alert system framework based on machine-to-machine communication, allowing manufacturers to monitor and perform DDC for each process.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Chemical
Tsai-Chi Kuo, Muniroh Muniroh, Kristin Halisa Fau
Summary: This study developed a framework for selecting sustainable suppliers by integrating quality management tools using the Kano model, Fuzzy Analytical Hierarchy Process, and Decision Matrix Method. The environmental dimension was identified as the most important criteria for sustainable supplier selection, followed by economy and social dimensions. Quality, pollution control, and information disclosures were found to be important sub-dimensions for selecting sustainable suppliers.
Article
Thermodynamics
Yu-Chung Tsao, Tsehaye Dedimas Beyene, Vo-Van Thanh, Sisay Geremew Gebeyehu, Tsai-Chi Kuo
Summary: The study developed a power distribution network design model considering voltage control, differential and dynamic pricing schemes to maximize network profits under uncertain demands and parameters. The proposed pricing scheme is differential for different customer types with allowable voltage limits and dynamic according to planning time. A fuzzy stochastic programming approach is used to integrate fuzzy and stochastic approaches for dealing with uncertainty, showing that lower confidence levels lead to increased renewable energy capacity and profit.
Article
Green & Sustainable Science & Technology
Tsai-Chi Kuo, Trang Thi Pham, Po-Tsang Huang, Hung Tan Nguyen, Duong Minh Bui, Phuc Duy Le
Summary: This study introduces a novel reliability evaluation method for PV-generating systems, proposing a new assessment model for different fault scenarios in off-grid PV systems. The research indicates that the PV system’s reliability is influenced by the operation of DC-DC power converters, and dynamic voltage fluctuations significantly decrease system reliability. Therefore, regular evaluations of the system are necessary to ensure reliability under varying conditions.
IET RENEWABLE POWER GENERATION
(2022)
Article
Engineering, Industrial
Ming-Chuan Chiu, Yen-Han Lee, Tao-Ming Chen
Summary: This study developed a method for applying content-based image retrieval (CBIR) and convolutional neural networking (CNN) to classify defect patterns on semiconductor wafers. This method can solve the problem of data imbalance and improve accuracy when using a relatively small quantity of data.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2022)
Article
Engineering, Environmental
Tsai-Chi Kuo, Chien-Yun Kuo, Liang-Wei Chen
Summary: New products in nanoscale integrated circuit fabrication for the semiconductor industry are continuously being developed. This research studied the impact categories involved in the production of eNVM chips and found that the sustainability of nanoscale IC fabrication has improved.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Hsiao-Min Chen, Tsai-Chi Kuo, Ju-Long Chen
Summary: The study found that different ownership structures, disclosure levels of climate change-related risks and opportunities, and number of environmental performance indicators did not have a multiplicative effect on the financial performance of manufacturing companies. However, disclosure of climate change-related risks and opportunities had a significant positive impact on financial performance. Private enterprises and social performance indicators had a negative impact on financial performance, but played a positively moderating role. Overall, environmental performance indicators had a distinctly positive effect on financial performance.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Tsai-Chi Kuo, Trang Thi Pham, Duong Minh Bui, Phuc Duy Le, Tan Luong Van, Po-Tsang Huang
Summary: This paper presents a reliability analysis of an aggregate power conversion unit (APCU) in an off-grid PV-battery-based DC microgrid. The proposed method calculates the dynamic-voltage-dependent failure rate (DVDFR) and fault-current-dependent failure rate (FCDFR) to evaluate the system-level and component-level reliability. Experimental results show that the bidirectional power converter is more affected by dynamic and transient operation, and the system-level reliability of the APCU is significantly reduced in the off-grid DC microgrid.
Article
Engineering, Electrical & Electronic
Yu-Chung Tsao, Tsehaye Dedimas Beyene, Sisay G. Gebeyehu, Tsai-Chi Kuo
Summary: Community of prosumers in the energy market plays a significant role in enhancing the sustainability of power distribution networks. By generating energy for their consumption and selling surplus energy, prosumers contribute to the overall energy supply. This study analyzed the capacity of distributed renewable energy generation units, dynamic pricing mechanisms, and the impact on the net profit of the power company. The findings showed that the participation of prosumers and carbon trading increased the power company's net profit by 1.13%.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Chemical
Tsai-Chi Kuo, Yung-Shuen Shen, Napasorn Sriwattana, Ruey-Huei Yeh
Summary: This study examines electric vehicle adoption barriers from an automotive industry perspective and identifies and prioritizes these barriers using two decision-making methods, while displaying the interrelationships among them.
Article
Green & Sustainable Science & Technology
Yue-Rong Hong, Chien-Ming Lee, Tsai-Chi Kuo
Summary: This article introduces the concept of Personal Social Responsibility (PSR) and advocates for individuals to make use of consumer sovereignty and wise consumption power. The study aims to investigate the feasibility of a carbon-negative business model and the opportunity for individuals to practice carbon neutrality in their personal lives. The article proposes a new model of Personal Carbon Trading (PCT) using carbon-negative products as a carrier, and suggests using behavioral nudge design to encourage the adoption of low-carbon behavior.
Article
Engineering, Environmental
Yui Kawasaki, Sayaka Nagao-Sato, Misa Shimpo, Kahori Fujisaki, Emi Yoshii, Rie Akamatsu, Petra Warschburger
Summary: This study qualitatively describes sustainable dietary behaviors (SDBs) that Japanese and German adults can implement in their lives, and quantitatively compares the similarities and differences in understanding SDBs between the two samples. The study found that Japanese participants were more focused on food waste prevention, while German participants were more focused on solving environmental problems.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kechun Chen, Yuan Ding, Liming Yang, Zhihao Wang, Haoxuan Yu, Difan Fang, Yufa Feng, Liying Hu, Chenxi Xu, Penghui Shao, Xubiao Luo, Liang Chen
Summary: This study proposes a targeted repair scheme for the recovery of graphite anodes from spent LIBs by systematically characterizing and analyzing the structure and composition of spent graphite (SG). The results show that the repair scheme achieves effective SG repair and the repaired graphite anode displays excellent lithium storage performance.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Takao Ueda, Shigeki Koyanaka, Tatsuya Oki
Summary: Fires caused by accidental crushing of batteries are a serious issue in the e-waste recycling process. A new in-line sorting system that uses X-ray scanning and deep learning has been developed to accurately detect batteries. Through a validation study, the system achieved higher accuracy compared to other existing programs.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Hannes Geist, Frank Balle
Summary: Research on circular economy often lacks empirical data, especially in the theory of circular process design and design for remanufacturing. This study systematically collected and analyzed engineering data on seven remanufacturing processes in the European automotive remanufacturing industry for the first time, providing empirical support for circular engineering challenges, potentials, and solutions.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Xiaojing Li, Fan Lue, Nanlin Liao, Hua Zhang, Na Yang, Pinjing He
Summary: This study assesses and predicts the greenhouse gas emissions on the timeline as waste treatment technologies develop in Shanghai from 1991 to 2025 using the Life Cycle Assessment (LCA) methodology. The findings demonstrate that GHG emission has reached net-zero in 2019 owing to the application of alternative technologies and waste segregation.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Bingchun Liu, Haoyang Wang, Xiaoqin Liang, Yibo Wang, Zijie Feng
Summary: The expansion of the photovoltaic market has resulted in a significant increase in PV waste. Therefore, conducting scientific research to determine the importance of the circular economy for sustainable growth in the PV industry is essential. The study demonstrates that accurate prediction of PV installed capacity and quantifying the importance of recycling in balancing the supply and demand of raw materials can be achieved through a multi-factor installed capacity prediction model and recovery potential prediction.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Review
Engineering, Environmental
Chuanzhen Zhang, Baojing Gu, Xia Liang, Shu Kee Lam, Yi Zhou, Deli Chen
Summary: Reactive nitrogen is crucial for agriculture and human nutrition, but mismanagement can have detrimental effects on human health and ecosystem services, hindering the achievement of the 2030 Sustainable Development Goals. Progress towards nitrogen-related targets varies across countries, highlighting the need for integrated management to achieve overall synergies.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Alessandro Gatto, Marijke Kuiper, Corina van Middelaar, Hans van Meijl
Summary: This study examines the economic and environmental effects of transitioning towards more circular food systems in the European Union (EU27) by feeding animals with low-opportunity-cost feed and better utilizing local feed resources. The results show that providing subsidies for circularity and promoting the use of low-cost feed can increase animal production, but also have negative impacts on land use and emissions. On the other hand, promoting domestic feed sourcing through import tariffs can decrease animal production and greenhouse gas emissions in agriculture. However, complementary policies are needed to mitigate drawbacks and enhance benefits of a more circular agri-food system.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Jinbo Zhang, Liu Chen, Yulei Xie, Pingjian Yang, Zheng Li, Huaicheng Guo, Yang Zhang, Lirong Liu
Summary: This study examines the impact of carbon taxes on low-carbon development and climate change mitigation. By constructing a cross-system bi-layer model, the study finds that reasonable carbon taxes can promote the stability of the energy network, reduce carbon emissions and air pollutants, and optimize production efficiency and the structure of the energy system. This study contributes to a better understanding of the effects and implementation pathways of carbon taxes.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Konstantin Born, Mehmet Metehan Ciftci
Summary: Increasing recycling of metals is important for reducing reliance on mining, but it cannot fully meet future metal demand. Primary production of metals is expected to continue rising, highlighting the need for alternative circular economy strategies such as demand reduction and mitigating harmful impacts of primary metal production.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Yinqiu Ma, Lin Huang, Jiahui Li, Wei Cao, Yumei Cai
Summary: Afforestation and reforestation, such as China's Grain for Green Program, have shown to effectively mitigate greenhouse gas emissions and contribute to carbon sink capacity. This study highlights the significant carbon potential of the program and its potential application in other countries to reduce CO2 in the atmosphere.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Arlind Dervishaj, Kjartan Gudmundsson
Summary: This paper reviews digital tools for supporting the Circular Economy (CE) in the built environment and provides suggestions. The study identifies limitations in the functionalities of current tools, including a lack of representative data for LCA and underdeveloped circularity indicators. Further development is needed in terms of interoperability aspects, integration of more sources of data for LCA and circularity, and possibilities for a comprehensive evaluation of design choices.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Mohamadreza Y. Azarfam, Anuj Maheshwari, Frank D. Blum, Siddhesh Chaudhari, Clinton Switzer, Ranji Vaidyanathan, Jay C. Hanan, Sudheer Bandla
Summary: This study introduces a feasible method for manufacturing recycled composites using post-consumer carpets and recycled resin. The resulting composites have impressive strength and modulus, surpassing commercial thermoplastics and making them suitable for structural applications. This research presents a promising approach to address carpet landfilling and reduce reliance on additives.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Pujiang Shi, Tianle Huang, Hong Kit Lim, Chiew Kei Tan, Jong-Min Lee, Chor Yong Tay
Summary: This study developed a highly porous bioadaptive 3D sponge-like construct from plastic materials in discarded keyboards for advanced in vitro applications. The findings demonstrate the potential of using discarded keyboards as a waste-to-resource feedstock to achieve waste reduction and maximize value-capture.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kuo-Jui Wu, Hailing Qiu, Caiyan Huang, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: Government resource allocation practices for achieving carbon neutrality should be guided by dynamic system theory to identify potential dynamics. Carbon intensity control dynamics have a significant influence on other dynamics.
RESOURCES CONSERVATION AND RECYCLING
(2024)