en کنترل کیفیت Quality Control مروری Review <div style="text-align: justify;"><span style="font-size:11pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span style="font-family:Calibri,sans-serif"><i><span style="font-size:12.0pt"><span style="line-height:115%"><span style="font-family:&quot;Times New Roman&quot;,serif">Quality 4.0 is the fusion between the long-standing quality management tenets and Industry 4.0 technologies like AI, Blockchain, IoT, and Big Data. Although it can improve product quality, control operational efficiency, and supply chain transparency for organizations, adopting these technologies comes with high challenges. This study, therefore, carries out a meta-analytic review incorporating 80 peer-reviewed papers from between 2018 to 2024 to exposit the effectiveness, challenges, and prospects of Quality 4.0. Results show that machine learning-based predictive analytics significantly reduce defect rates and production costs, while Blockchain enhances visibility into the supply chain. On the other hand, organizational readiness and workforce training are major barriers. The paper can give much-needed input to practitioners through actionable recommendations and suggest avenues for further research that would advance Quality 4.0 adoption.</span></span></span></i></span></span></span></span></div> Quality 4.0, Industry 4.0, AI, Blockchain, Big Data, IoT. 68 79 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3121-3&slc_lang=en&sid=1 SOUAD LAHMINE souad.lahmine@usmba.ac.ma 1800319475328460013327 1800319475328460013327 Yes Engineering, Systems, and Applications Laboratory (LISA), National School of Applied Sciences (ENSA), Sidi Mohamed Ben Abdellah University of Fez, FATIMA BENNOUNA Fatima.bennouna@usmba.ac.ma 1800319475328460013328 1800319475328460013328 No Engineering, Systems, and Applications Laboratory (LISA), National School of Applied Sciences (ENSA), Sidi Mohamed Ben Abdellah University of Fez,