Article
Computer Science, Interdisciplinary Applications
Ralf Plattfaut, Vincent Borghoff, Marie Godefroid, Julian Koch, Michael Trampler, Andre Coners
Summary: This study identifies 32 Critical Success Factors (CSFs) for Robotic Process Automation (RPA) through a structured literature review and analysis of expert interviews. The study also discusses the applicability of these factors to other process automation technologies or process improvement efforts.
COMPUTERS IN INDUSTRY
(2022)
Article
Construction & Building Technology
Mayowa I. Adegoriola, Joseph H. K. Lai, Rotimi Abidoye
Summary: By conducting an online survey and analysis, this study establishes a hierarchical structure of critical success factors (CSFs) in heritage building maintenance management (HBMM) and classifies them into four clusters. This helps HBMM practitioners understand the operational dynamics of these factors and prioritize their importance.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Social Sciences, Interdisciplinary
Mohamed O. O. Grida, Samah Abd Elrahman, Khalid A. A. Eldrandaly
Summary: Blockchain has revolutionized the way business is conducted, making it highly disruptive. However, implementing blockchain technologies in various services and industries is a challenging endeavor. This study presents a framework for investigating the critical factors that influence the successful adoption of blockchain technologies and ranks them using the Decision-Making Trial and Evaluation Laboratory technique. Fourteen critical success factors are identified and classified into technological, organizational, and environmental categories. Additionally, sixteen key performance indicators for successful blockchain adoption are introduced and categorized into five areas. The study concludes that environmental factors are the most crucial for blockchain adoption, with law and policies and competitive pressure being the top factors. In the technological context, only blockchain scalability stands out as a significant factor for adoption, while adequate resources, top management support, and financial constraints are highly ranked in the organizational context.
Article
Chemistry, Multidisciplinary
Mohammad Mujahid Irfan, Sushama Malaji, Chandarashekhar Patsa, Shriram S. Rangarajan, Randolph E. Collins, Tomonobu Senjyu
Summary: The technology transformation of Industry 4.0 involves computers, power converters, and microprocessors, which can affect power quality, especially when integrated with distributed generation technologies. Using devices like DSTATCOM can effectively improve power quality, and improved algorithms can simplify control complexity.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Cheng-Hua Yang, Huei-Ju Chen, Li-Chu Lin, Alastair M. Morrison
Summary: The study examined the structure of critical success factors for in-town check-ins, identifying three hierarchies with eight criteria and 18 evaluation indexes. The research found that the transferred vehicles system and management play a key role in ITCTs, and users' usage preference is highly correlated to ITCT management strategy.
Article
Green & Sustainable Science & Technology
Govinda R. Timilsina
Summary: This study analyzes the economics of distributed photovoltaics in the residential, commercial, and industrial sectors in Bangladesh. The findings show that the economics of distributed photovoltaics vary across different stakeholders and are influenced by factors such as technology cost, solar resources quality, and electricity exchange tariffs. From a societal perspective, the deployment of distributed photovoltaics is beneficial, considering both the improving economics of the technology and the environmental benefits.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Engineering, Electrical & Electronic
Ivan Ruy de Parijos Junior, Marcos Andre Barros Galhardo, Thiago Oliveira Costa, Joao Tavares Pinho, Sam Williamson, Wilson Negrao Macedo
Summary: This paper evaluates the impact of small-scale photovoltaic generation on the power quality at the point of common coupling in the grid. It takes into account consumer demand and inverter loading percentage, and conducts tests to study the effects of PV systems on load profile and power quality.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Ian Sosa-Tinoco, Miguel A. Prosper, Gonzalo Miguez-Macho
Summary: This study validates the use of a coupled tool for forecasting solar energy production in real solar plants in Spain and India, demonstrating its reliability and potential for solar plant operation and energy market applications.
Article
Energy & Fuels
Tarun Dhingra, Anita Sengar, Shambhu Sajith
Summary: The adoption of rooftop solar in India is hindered by various barriers, including financial, institutional, regulatory, location-based, technical, and market-based factors. This research aims to fill the literature gap by identifying and categorizing these barriers and prioritizing them using a multi-criteria decision-making technique. The study highlights the significant impact of market-based and financial barriers on hindering the growth of industrial and commercial rooftop solar in India.
Article
Computer Science, Information Systems
P. V. V. Satyanarayana, A. Radhika, Ch. Rami Reddy, B. Pangedaiah, Luigi Martirano, Andrea Massaccesi, Aymen Flah, Michal Jasinski
Summary: In this paper, the power quality (PQ) issues in present day power systems are investigated due to the increased use of power electronic controlled drives and fluctuating and other non-linear loads. Custom power devices with suitable control strategies, such as the parallel-VSI based DSTATCOM and the combined/common DC-Link-fed parallel DSTATCOM, are proposed as effective solutions to mitigate these PQ issues. The simulation results using MATLAB/Simulink platform demonstrate the effectiveness of these configurations in enhancing power quality under varying load conditions in conventional distribution systems.
Article
Green & Sustainable Science & Technology
Hazem Karbouj, Zakir Hussain Rather, Bikash C. Pal
Summary: This research presents an accurate estimation of reactive power capability of solar PV inverters, proposing a self-adaptive voltage controller for better utilization of solar PV capability in voltage control ancillary service. The study also reveals the possibility of solar PV power plant failing to comply with grid code requirements under extreme weather conditions.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Economics
Wim Van Opstal, Anse Smeets
Summary: Solar energy is an important renewable energy source for decarbonization. However, many households face barriers to invest in solar energy. Circular business models can mitigate PV waste and lower barriers for residential PV adoption.
Article
Green & Sustainable Science & Technology
Shradha Singh Parihar, Nitin Malik
Summary: The optimal installation of renewable distributed generation in a radial distribution network is studied in this article. A weighted-sum multi-objective approach is used to determine the optimal location of solar PV-DG, and a PSO algorithm is applied to find the optimal DG size. The results show that the optimal allocation of DG can significantly impact the performance of the network in both distorted and non-distorted distribution systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Construction & Building Technology
Wenping Du, Ming Li, Yunfeng Wang, Xun Ma, Chengzhi Hu, Ying Zhang, Zhuoli Zhang
Summary: A novel method for constructing a distributed solar photovoltaic direct-drive cold storage system is proposed, where the key factors affecting system performance and energy efficiency are studied in detail. Experimental results show that the solar-cold energy conversion efficiency of the system is negatively correlated with solar radiation intensity and varies under different weather conditions.
BUILDING AND ENVIRONMENT
(2021)
Article
Social Sciences, Interdisciplinary
Lena Aggestam, Joeri van Laere, Ann Svensson
Summary: This study focuses on how to prospectively apply and manage Critical Success Factors (CSFs) in Healthcare Information Systems (HIS) projects. The research findings provide detailed descriptions and insights into the application and management of CSFs in these projects. The analysis reveals the importance of considering different system levels and the interactions between various CSFs. The study suggests new directions for future research and offers practical guidance for healthcare practitioners.
Article
Engineering, Multidisciplinary
Leandro Gauss, Daniel P. Lacerda, Paulo A. Cauchick Miguel
Summary: This paper conducted a systematic review and meta-synthesis of 72 peer-reviewed articles and book chapters on front-end issues in product family design, identifying 72 methods and 120 techniques to address 25 design problems. The lack of a systemic view of design and its impact on sub-optimal solutions were highlighted, and the paper also complemented previous research on the integrative connection among product family design methods.
RESEARCH IN ENGINEERING DESIGN
(2023)
Article
Management
Rafael Marques, Rafael Teixeira, Daniel P. Lacerda, Fabio S. Piran
Summary: This study examines the relationships between buyers and suppliers in the outsourcing service industry and their impact on service productivity. Through evaluating the importance of outputs and inputs for service productivity, as well as the service characteristics of each B2B, the study finds that some choices made by buyers are not optimal for suppliers. Managers can utilize buyer and transaction data to identify the contribution of each B2B buyer to productivity and design better service contracts.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Filipe Possatti Campanhola, Dion Lenon Prediger, Jones Luis Schaefer, Tiago Bandeira Marchesan, Julio Cezar Mairesse Siluk
Summary: This article proposes a methodology for analyzing the costs generated by additional aging in transformers when subjected to additional load caused by the shutdown of another transformer. The methodology was validated through a case study in a company in southern Brazil. The results show that the cost of unavailability is significantly higher when unscheduled outages occur. It is concluded that this methodology can assist in decision-making for the management and maintenance of critical equipment, leading to significant economic consequences in the long run.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Engineering, Industrial
Mariana Paim Machado, Jaqueline Lilge Abreu, Maria Isabel Motta Morandi, Fabio Sartori Piran, Daniel Pacheco Lacerda
Summary: This study uses a System Dynamics model based on the P and Q problem and analyzes the prevalent variables for decision-making using Artificial Neural Networks to determine the robustness of decisions based on Throughput Accounting when simultaneous variations occur. The results show the robustness of Throughput Accounting in systems with simultaneous variations and contribute to demonstrating its viability in stochastic conditions. Additionally, previously unexplored prevalent variables are identified. The study emphasizes the importance of Throughput Accounting in supporting decision-making related to product mix and constraint identification in dynamic scenarios.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Pharmacology & Pharmacy
Beatriz C. C. Fialho, Leandro Gauss, Priscila F. F. Soares, Mauricio Z. Medeiros, Daniel P. P. Lacerda
Summary: Over the past decade, the challenge for global public health institutions in dealing with infectious disease outbreaks and epidemics has led to the recognition of vaccines as central to strengthening global health security. However, vaccine research and development is a complex and time-consuming process. This study examines the paradigm shift in vaccine R&D in pandemic contexts and its impact on the vaccine innovation value chain.
JOURNAL OF PHARMACEUTICAL INNOVATION
(2023)
Article
Economics
Pedro Cezar Saccol Filho, Julio Cezar Mairesse Siluk, Claudia de Freitas Michelin, Paula Donaduzzi Rigo, Alvaro Luiz Neuenfeldt Junior, Carmen Brum Rosa, Wesley Vieira da Silva
Summary: A startup's success depends on its innovation ecosystem, which includes interactions with other organizations to create new products and access resources. However, assessing the competitiveness of the innovation ecosystem is challenging. This research proposes a measurement tool based on the Analytic Hierarchy Process to evaluate the competitiveness of startups' innovation ecosystems. The results show that the competitiveness performance ranges from 59.50% to 72.15%, with 79% of startups' ecosystems failing to generate more and better opportunities for talent.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2023)
Article
Energy & Fuels
Paula D. Rigo, Julio Cezar M. Siluk, Daniel P. Lacerda, Graciele Rediske, Carmen B. Rosa
Summary: This article proposes a model based on the Balanced Scorecard to evaluate the competitive potential of photovoltaic system installers. By analyzing cause-and-effect relationships and weights, a competitiveness index is obtained, providing companies with a tool to evaluate internal factors and promote sales growth.
Article
Management
Leandro Gauss, Daniel P. Lacerda, A. Georges L. Romme
Summary: This paper explores the connection between design and science in operations management studies. The authors argue that the current imbalance, with more emphasis on theory-to-practice than practice-to-theory in design science applications, hinders theoretical progress. To address this, they propose using mechanisms as boundary objects between design and science. The paper outlines the problem-solving cycle of design science, discusses mechanisms, mechanism-based explanations, and law-statements, and suggests a framework for closing the self-reinforcing loop between science and design.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Proceedings Paper
Engineering, Industrial
Paula Donaduzzi Rigo, Jordana Graciano Rech dos Santos, Cleber Vinicius de Freitas, Julio Cezar Mairesse Siluk
Summary: The accelerated growth of solar photovoltaic energy through Distributed Generation (DG) in Brazil has led to the revision of the Electric Energy Compensation System by the National Electric Energy Agency (ANEEL), aiming to balance the electricity grid costs for DG participants and non-participants. The impact of the revised legislation on the economic viability of PV systems in Brazil is significant, particularly for residential investors. The proposed alternatives for grid electricity use costs result in a longer payback time for residential systems, while the impact on commercial and industrial systems is less pronounced due to lower TUSD rates in proportion to electricity consumption.
INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXVIII IJCIEOM
(2022)
Proceedings Paper
Engineering, Industrial
Tobias Leonardo Kunrath, Mariana Paim Machado, Daniel Pacheco Lacerda
Summary: Business environments are becoming increasingly complex, requiring companies to formulate strategies and use tools to develop and monitor these strategies. This article presents a framework that integrates throughput accounting and the focusing process of the Theory of Constraints to plan and monitor an organization's Objectives and Key Results. The framework, evaluated in a technology company, shows positive results.
INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXVIII IJCIEOM
(2022)
Article
Energy & Fuels
Virginia Thomasi, Julio C. M. Siluk, Paula D. Rigo, Edson Funke, Carlos F. da S. Ramos
Summary: This article combines bibliometric analysis and literature mapping to explore the trend, structure, and latest development in research on hybrid energy systems. The results show that the importance of hybrid energy systems has been increasing in the academic community, with a focus on improving efficiency and optimization in energy production.
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH
(2022)
Review
Engineering, Industrial
Nubia Adriane da Silva, Jaqueline Lilge Abreu, Cristina Orsolin Klingenberg, Jose Antonio Valle Antunes Junior, Daniel Pacheco Lacerda
Summary: This study conducted a systematic literature review and content analysis to explore the implementation of Industry 4.0 technologies in Micro and Small Enterprises. The results identified 16 Industry 4.0 technologies, possible barriers to their implementation, and performance outcomes after adoption in such enterprises.
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL
(2022)
Article
Management
Claudia Michelin, Italo Fernando Minello, Julio Cezar Siluk, Vinicius Gerhardt, Jordana Dos Santos, Alvaro Neuenfeldt
Summary: The purpose of this paper is to evaluate the entrepreneurial behavior of managers of technology-based companies in specific stages of the business life cycle. The results show that the level of entrepreneurial behavior of managers follows the development of the company, with managers in later stages showing more entrepreneurial characteristics. The experience that managers acquire as the company evolves influences their behavior and the company's performance. The results provide important knowledge for managers to improve their businesses.
INTANGIBLE CAPITAL
(2022)
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)
