
Gage R&R studies in measurement system analysis: A systematic literature review
2022; Taylor & Francis; Volume: 34; Issue: 3 Linguagem: Inglês
10.1080/08982112.2022.2069505
ISSN1532-4222
AutoresWilliane de Oliveira Silva Soares, Rogério Santana Peruchi, Rômulo Augusto Ventura Silva, Paulo Rotella,
Tópico(s)Hemodynamic Monitoring and Therapy
ResumoAbstractStatistical process control is directly affected by the quality of measurements; therefore, acceptance of a measurement system is a pivotal issue. A gage repeatability and reproducibility study (GR&R) can determine whether the total variability observed in a process comes from manufacturing or from the measurement system. This systematic literature review aims to assess the state-of-the-art in GR&R studies. Based on findings, articles are classified according to the manufacturing process, measuring instruments, quantities and units, design setup, statistical methods, and acceptability criteria. Finally, the main objectives and contributions of each study are highlighted.Keywords: Anovagage R&Rmeasurement errormeasurement system analysissystematic literature review AcknowledgmentsFor financial support and research incentive, the authors would like to thank: the Brazilian National Council for Scientific and Technological Development—CNPq Brazil (Grants 303909/2020-0 and 308021/2019-3); the Paraíba State Research Foundation—FAPESQ Brazil (Process 3060/2021); the Federal University of Paraiba—Brazil (Processes PIF13157-2020 and PVK13150-2020); the Coordination for the Improvement of Higher Education Personnel—CAPES Brazil; and the Charles University—Czech Republic (Project GA UK No 295522). Additional informationNotes on contributorsWilliane de Oliveira Silva SoaresWilliane de Oliveira Silva Soares, Master's student in Production Engineering at the Federal University of Paraíba (PPGEPS/UFPB). Bachelor's Degree in Production Engineering from the Federal University of Campina Grande (UFCG/CDSA). During the graduation of the research project (PIVIC), in the Institutional Monitoring Program of the Federal University of Campina Grande (UFCG) for three semesters, where she acted as a monitor of Physics III (2016.1 and 2016.2) and of Production Systems (2017.1). She has publications in multidisciplinary areas, with an emphasis on Production Engineering. She was Executive Manager (2017.1) and Finance Director (2017.2) at ProdUP Consultoria Júnior (UFCG). His scientific interests include: Maintenance, Reliability Engineering, Health and Safety at Work, Simulation, Optimization of Productive Processes and Quality Management.Rogério Santana PeruchiRogério Santana Peruchi, Level 2 researcher at the National Council for Scientific and Technological Development. Adjunct Professor at the Department of Production Engineering, Technology Center—Federal University of Paraíba. He served as Adjunct Professor at the Faculty of Engineering at the Federal University of Goiás—Regional Catalão (2016). Post-Doctorate in Production Engineering at the Federal University of Itajubá (2015). PhD in Production Engineering from the Federal University of Itajubá (2014) with a sandwich period at the University of Tennessee at Knoxville (2013). He holds a bachelor's degree in Mechanical Production Engineering (2009) and a master's degree in Production Engineering (2011) from the Federal University of Itajubá. He has experience in Process Engineering in the automotive sector. He has been conducting scientific research, through Postgraduate Programs in Renewable Energies and Production and Systems Engineering, in the areas of Energy Generation and Storage Systems, Six Sigma, Quality Management, Statistical Process Control, Multiobjective Modeling and Optimization.Rômulo Augusto Ventura SilvaRômulo Augusto Ventura Silva, Graduated in Materials Engineering from the Federal University of Campina Grande (2004), Master's (2007) and Ph.D. in Materials Science and Engineering from the Federal University of Campina Grande (2011). He is currently a professor at the Federal University of Campina Grande at the Sumé Campus in the Production Engineering and Biosystems Engineering courses. He teaches courses in the Areas of Automation and Process Control. He has experience in Materials Engineering, Additive Manufacturing (3D Printing), Instrumentation and Control, Electrical Engineering, with an emphasis on Electronic Automation of Electrical and Industrial Processes, acting on the following topics: automation and control of agricultural processes, air conditioning and automation in controlled environments and robotics. His recent work involves Agriculture and Industry 4.0, in the development of IoT equipment and systems.Paulo Rotella JuniorPaulo Rotella Junior, Associate Professor at the Department of Production Engineering of the Federal University of Paraíba (UFPB) and Level 2 Researcher at the National Council for Scientific and Technological Development (CNPq). Visiting Professor at the Faculty of Finance and Accounting of the Prague University of Economics and Business—Czech Republic (2021). Visiting Professor at the Energy Department "Galileo Ferraris" of the Politecnico di Torino—Italy (2020). He was a postdoctoral researcher at the Federal University of Itajubá (2016-2018). Doctor (2015) and Master (2012), both in Production Engineering from the Federal University of Itajubá (UNIFEI). Postgraduate MBA (2010) from UNIFEI. Production Engineer (2012) and Bachelor in Information Systems (2007), both from Centro Universitário de Itajubá (FEPI). He is coordinator of the Laboratory of Applied Quantitative Methods and lead researcher of the Study Group on Applied Quantitative Methods at UFPB. He has academic experience in the field of Production Engineering, working mainly on the following topics: Economic Engineering and Investment Analysis in Renewable Energy, Accounting, Finance and Optimization.
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