Application of Metasynthesis Technique in Identifying the Components of Intelligent Management Systems for Sustainable and Resilient Production Systems in the Cement Industry

The purpose of this research is to apply metasynthesis technique in identifying the components of intelligent management systems for sustainable and resilient production systems in the cement industry. Using a systematic and metasynthesis approach, the researcher analyzed the results and findings of previous researchers and identified the effective factors by performing the 7 steps of the Sandelovski and Barroso method. Among the 268 articles, 32 articles were selected based on the CASP method, and the validity of the analysis was confirmed by the values ​​of the Holstein coefficient, Scott's P coefficient, Cohen's kappa index, and Krepinderoff's alpha. In this context, in order to measure reliability and quality control, the transcription method was used, and its value was identified for the indicators identified at the level of excellent agreement. The results of data analysis collected in MAXQDA software led to the identification of 75 primary codes in 12 categories. The identified categories are flexible strategy, resilient innovation, convergence of the Internet of Things, artificial intelligence and distributed database, manufacturing intelligence, design, manufacturing digital logistics, data management, manufacturing technology, stakeholder and people value management, big data integration, and tool crisis. Smart and digital and intelligent customer relationship management. As a result, intelligent management systems focusing on flexible strategy, resilient innovation, and convergence of modern technologies can significantly contribute to increasing sustainable production and resilience in the cement industry. By integrating the technologies of Internet of Things, artificial intelligence and database distribution, these systems enable process monitoring and optimization, reducing resource wastage and increasing productivity.