Article
Environmental Sciences
Atul Kumar Singh, Varadhaiya Gounder Ranganathan Prasath Kumar, Jin Hu, Muhammad Irfan
Summary: Blockchain technology is seen as a promising solution for enhancing transparency, efficiency, and security in various industries, including construction. However, implementing blockchain in the construction industry faces several barriers. This study aims to identify and discuss the key barriers to implementing blockchain in the construction industry. The results provide valuable information for policymakers and management to overcome these barriers and increase the level of blockchain adoption in the construction industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Pharmacology & Pharmacy
Sundus Shukar, Fatima Zahoor, Khezar Hayat, Amna Saeed, Ali Hassan Gillani, Sumaira Omer, Shuchen Hu, Zaheer-Ud-Din Babar, Yu Fang, Caijun Yang
Summary: Drug shortage is a global issue affecting all types of drugs, with causes including supply issues, demand issues, and regulatory issues. It impacts stakeholders in economic, clinical, and humanistic aspects. Mitigation strategies from WHO involve addressing the current shortage, reducing risk, policy changes, and educating health professionals.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Naif Alaboud, Adnan Alshahrani
Summary: The Saudi Vision 2030 is a national program of change management driven by digital technology. The implementation of BIM is considered crucial for improving productivity and quality in the AEC industries. A study using interpretative structural modeling (ISM) and matrix-based multiplication applied to a classification (MICMAC) method identified the importance of BIM awareness and sustainability benefits, as well as the shift in leadership approach, in successful BIM implementation.
Article
Operations Research & Management Science
Ashutosh Mishra, Gunjan Soni, Bharti Ramtiyal, Mayank Dhaundiyal, Aalok Kumar, P. R. S. Sarma
Summary: Textile industries are highly polluting and require urgent management measures to mitigate their negative environmental impact. This study aims to establish a comprehensive framework for analyzing risk mitigation strategies for circular supply chain adoption in India's textile industries. The SAP-LAP technique is used to analyze the problem, but lacks interpretation of the associations between the variables. Therefore, the study proposes an Interpretive Ranking Process (IRP) to aid decision-making and constructs Bayesian Networks (BN) to identify causal relationships among risks and mitigation actions. The proposed models provide valuable insights for risk perception and mitigation techniques in the Indian textile industries.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Hasan M. Salman, Jagadeesh Pasupuleti, Ahmad H. Sabry
Summary: This paper discusses the application of energy management strategies in balancing electricity demand and generation in developing countries like Iraq. A thorough analysis is conducted to discuss the causes of power outages and the application of energy management strategies, as well as the consequences of power outages.
Article
Green & Sustainable Science & Technology
Shahab Shoar, Nicholas Chileshe
Summary: This study investigates the mutual interactions and classifications of causes of design changes using ISM and MICMAC technique. It identifies strategies to mitigate design changes, revealing factors influencing design changes and providing insights for project managers to choose influential strategies.
Article
Engineering, Industrial
Sarita Prasad, Milen Baltov, Neelakanteswara Rao A., Krishnanand Lanka
Summary: This study aims to analyze the contextual relationship and dependency among enablers for lean manufacturing implementation in Bulgarian SMEs using ISM and IRP approaches. The findings highlight the importance of leadership, human resource management, customer relation management, supplier relation management, and information technology system as significant enablers for lean implementation. Continuous improvement is identified as an essential enabler for successful implementation of lean in Bulgarian SMEs.
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
(2021)
Article
Green & Sustainable Science & Technology
Tianyi Chen, Huixuan Sun, Kong Fai Tai, Chye Kiang Heng
Summary: Building-integrated photovoltaics (BIPV) are recognized as an effective solution for reducing dependence on fossil fuels and achieving zero-energy buildings in the face of global climate change. However, the implementation of BIPV remains limited and little research has been conducted on the interrelationships among barriers to BIPV implementation in Singapore. This study utilizes a literature review, expert validation, and interpretive structural modeling (ISM) to investigate these barriers and proposes a three-step plan for unlocking the potential of BIPV implementation in Singapore.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Geosciences, Multidisciplinary
Harman Singh, Miriam Nielsen, Helen Greatrex
Summary: This paper examines the current state of research on urban pluvial floods in India, focusing on the causes, impacts, and mitigation strategies. The study finds that extreme rainfall, urban development, topography, drainage, waste management, and soil type contribute to urban pluvial flooding in India. The impacts of such floods are categorized as direct and indirect, and proposed mitigation strategies include proactive, reactive, and recovery measures.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Engineering, Industrial
Deepak Mathivathanan, K. Mathiyazhagan, Nripendra P. Rana, Sangeeta Khorana, Yogesh K. Dwivedi
Summary: Using TISM and MICMAC methods, this research identifies adoption barriers for firms in adopting blockchain technology and highlights the lack of business awareness and familiarity with blockchain technology as the most influential barriers.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Multidisciplinary Sciences
Georgina Esi Takyi-Annan, Hong Zhang
Summary: In the past 20 years, the use of Building Information Modelling (BIM) has become widespread in the Architecture, Engineering, and Construction (AEC) industries. BIM contributes to the revolution towards Industry 4.0 in the AEC industry due to its automation and sustainability features. However, there are concerns about its implementation in the developing world context. This study aims to identify frequently occurring BIM Implementation Barriers (BIMIBs) in the developing world and determine the interrelationships between these barriers using an Interpretive Structural Modelling (ISM) approach and MICMAC analysis.
Review
Green & Sustainable Science & Technology
Han Yan, Min-Ju Song, Hee-Yong Lee
Summary: This study identifies potential factors causing food loss and waste, and provides sustainable solutions. The results indicate that technical inefficiency and facility costs are the most serious risks, with the lack of legislation and standards as the second most serious risk.
Review
Clinical Neurology
David Garcia-Azorin, Katrin M. Seeher, Charles R. Newton, Njideka U. Okubadejo, Andrea Pilotto, Deanna Saylor, Andrea Sylvia Winkler, Chahnez Charfi Triki, Matilde Leonardi
Summary: This rapid review found that the COVID-19 pandemic had a significant impact on neurological services, with cross-sectoral neurological services being most severely disrupted. The study highlights the need for effective mitigation strategies, such as telemedicine, to address the negative effects of the pandemic on neurological care.
JOURNAL OF NEUROLOGY
(2021)
Review
Green & Sustainable Science & Technology
Vanessa S. M. Magalhaes, Luis Miguel D. F. Ferreira, Cristovao Silva
Summary: The causes and mitigation strategies of food loss and waste vary depending on different stages of the food supply chain, countries with different economic development levels, and different food products. Developing countries more frequently report managerial mitigation strategies, while developed ones report infrastructure strategies more often. Literature suggests applying mitigation strategies at various stages of the food supply chain.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Computer Science, Information Systems
V. S. Devi Priya, Sibi Chakkaravarthy Sethuraman, Muhammad Khurram Khan
Summary: The enterprise technique for application deployment has undergone a major transformation with the use of containers and microservices, enabling faster and more effective development and deployment of applications. However, container security requires threat modeling and security analysis to protect against attacks.
COMPUTERS & SECURITY
(2023)
Article
Economics
Amilcar Arantes, Andreia Frias Alhais, Luis Miguel D. F. Ferreira
Summary: This study develops a Purchasing Portfolio Model for medicine purchasing strategic management in the healthcare industry based on the Kraljic Purchasing Matrix. By using Analytic Hierarchy Process techniques and MultiDimensional Scaling, different classes of medicine can be classified and differentiated purchasing strategies can be developed.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Vanessa S. M. Magalhaes, Luis Miguel D. F. Ferreira, Cristovao Silva
Summary: This study develops an evaluation framework to select suitable strategies for reducing food loss and waste. By assessing criteria and ranking strategies, cost-effective mitigation strategies with significant environmental and social gains can be prioritized.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Transportation
Joao M. Vilas Boas da Silva, Luis Miguel D. F. Ferreira, Jones Alexandre Barros Soares
Summary: This study examines the strategic role and usefulness of cabotage in Brazil and proposes policy recommendations based on the identified obstacles. Through unstructured interviews and literature review, the study identifies barriers to cabotage development and suggests solutions to overcome them.
WMU JOURNAL OF MARITIME AFFAIRS
(2022)
Article
Computer Science, Artificial Intelligence
Roney Malaguti, Nuno Lourenco, Cristovao Silva
Summary: Machine learning tools are used to analyze lubricating oil data and improve the accuracy of diagnosing and predicting failures in diesel-powered vehicle fleets. An intelligent system is developed to assess the condition of lubricating oil in automotive diesel engines, achieving high accuracy in identifying the operating conditions of the oil.
Article
Management
Andre Luiz Romano, Luis Miguel D. F. Ferreira
Summary: This article examines the relationship between Corporate Social Responsibility (CSR), organizational results, and cultural characteristics in Brazilian cosmetic companies. The study found that flexible internal cultural practices are associated with a positive perception of CSR and organizational results.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Pedro P. Senna, Luis Miguel D. F. Ferreira, Ana C. Barros, Jaime Bonnin Roca, Vanessa Magalhaes
Summary: This paper uses interpretive structural modeling (ISM) and matrix impact of cross multiplication applied to classification (MICMAC) analysis to study the barriers and their interrelationships in the adoption of Industry 4.0. The barriers are categorized into technology, organization, and environment. The study finds that standardization and lack of off-the-shelf solutions are considered root barriers, which differs from previous studies. Additionally, barriers related to legal and contractual uncertainty have the highest driving power and lowest dependence power.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Amilcar Arantes, Luis Miguel D. F. Ferreira
Summary: This work presents a methodology to develop mitigation measures for construction delays by combining Interpretative Structural Modelling (ISM) and Matrix Cross Impact Matrix Multiplication (MICMAC) analyses. The methodology identifies critical causes, analyzes interrelationships, and proposes mitigation measures based on hierarchical relationships. Applied to the Portuguese context, 16 critical causes and 23 mitigation measures were identified.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Economics
Lucas Rodrigues Deliberador, Alexandre Borges Santos, Pamella Rodrigues Silva Carrijo, Mario Otavio Batalha, Aldara da Silva Cesar, Luis Miguel D. F. Ferreira
Summary: Food waste is a serious global issue, with one third of the food produced being lost or wasted every year. Consumer behavior is a major cause of this waste. The COVID-19 pandemic has led to changes in consumer behavior, including their food waste habits.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Engineering, Industrial
Luis Miguel D. F. Ferreira, Antonio Carrizo Moreira, Pedro Silva
Summary: This article presents a six-step framework for applying lean principles to product development and describes its implementation in an industrial company. The implementation of the framework led to a 20% decrease in waste and an improvement in the efficiency of the product development process. The key contributors to this improvement were standardization, clear roles, prioritization of activities, and improved meeting efficiency.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Andre Luiz Romano, Luis Miguel D. F. Ferreira, Sandra Sofia F. S. Caeiro
Summary: With increased concern about social and environmental impacts, managing sustainability in supply chains has become a focus of interest. Companies adopt supply chain sustainability practices due to pressures from various stakeholders. Normative and mimetic pressures positively affect sustainability practices, while coercive pressures have no influence.
JOURNAL OF CLEANER PRODUCTION
(2023)
Proceedings Paper
Automation & Control Systems
Teresa B. A. Ribeiro, Luis Miguel D. F. Ferreira, Vanessa S. M. Magalhaes, Susana Garrido Azevedo
Summary: This study evaluates the degree of implementation of Lean and Green Practices in Portuguese manufacturing companies and the resulting performance. The findings confirm that the wider adoption of these practices leads to overall better operational, environmental, and financial performance.
Proceedings Paper
Automation & Control Systems
Catia A. Alves, Luis Miguel D. F. Ferreira, Vanessa S. M. Magalhaes
Summary: This study explores the impact of Servitization and Digitalization practices and Service Design methods on the performance of Portuguese industrial companies. The results indicate a positive association between the implementation of these practices and performance, enabling companies to adapt to market forces and meet client requirements.
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
