Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing

Abstract

Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels of the manufacturing enterprises, there is an instrumental need for comprehending how cognitive manufacturing systems can provide increased value and precision in complex operational processes. Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production. Methods: Throughout April and June 2022, by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a quantitative literature review of ProQuest, Scopus, and the Web of Science databases was performed, with search terms including ?cognitive Industrial Internet of Things?, ?cognitive automation?, ?cognitive manufacturing systems?, ?cognitively-enhanced machine?, ?cognitive technology-driven automation?, ?cognitive computing technologies,? and ?cognitive technologies.? The Systematic Review Data Repository (SRDR) was leveraged, a software program for the collecting, processing, and analysis of data for our research. The quality of the selected scholarly sources was evaluated by harnessing the Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing the Methodological Quality of Systematic Reviews) deployed artificial intelligence and intelligent workflows, and Dedoose was used for mixed methods research. VOSviewer layout algorithms and Dimensions bibliometric mapping served as data visualization tools. Findings & value added: Cognitive manufacturing systems is developed on sustainable product lifecycle management, Internet of Things-based real-time production logistics, and deep learning-assisted smart process planning, optimizing value creation capabilities and artificial intelligence-based decision-making algorithms. Subsequent interest should be oriented to how predictive maintenance can assist in cognitive manufacturing by use of artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production.

Is auditor financial decision-making affected by prior audit report information? A behavioral approach

“…More training courses are needed for auditors with less experience, reinforcing their expertise and avoiding confirmation bias. Finally, emerging FinTech technologies and generative artificial intelligence could also improve financial reporting transparency, help audit processes and risk assessment and decrease the confirmation bias [ [69] , [70] , [71] ]. More studies are needed in this line.…”

Can Carbon Trading Promote Low-Carbon Transformation of High Energy Consumption Enterprises?—The Case of China

“…Through the adjustment of initial willingness and relevant parameters to adjust the existing situation, the low-carbon transformation path is explored and optimized. Because the tripartite game is a dynamic process that changes with time, it is therefore necessary to discretize the Equations ( 1) and ( 2) to describe the asymptotic stable operation track of evolutionary game [31,32]. If the time step is set as ∆t, it can be obtained from the definition of derivative:…”

Yönetim, Organizasyon ve Strateji Üzerine Araştırmalar

“…Artificial intelligence is a rational, diverse, and comprehensive concept based on thought reasoning, processes, and behavioral dynamics, loyal to human performance (Moro-Visconti, 2020: 1). Artificial intelligence algorithms; robotic autonomous systems, autonomous swarm robots, intelligent production systems, path planning algorithms, cognitive artificial intelligence tools and data fusion mechanisms (Lăzăroiu et al, 2022(Lăzăroiu et al, : 1051. This shows that artificial intelligence has a wide range of uses.…”

“…Digitization for business activities in organizations can contribute to the development of artificial intelligence-based applications for employees. In the literature, Lăzăroiu et al (2022Lăzăroiu et al ( : 1059 artificial intelligence-based decision algorithms in cognitive production in organizations; stated that big data analytics, it integrates the creation of sustainable industrial values and digitized mass production.…”