Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the digital transformation of industrial companies employing emerging technologies. Factories of the future will enjoy hybrid solutions, while quality is the heart of all manufacturing systems regardless of the type of production and products. Quality 4.0 is a branch of I4.0 with the aim of boosting quality by employing smart solutions and intelligent algorithms. There are many conceptual frameworks and models, while the main challenge is to have the experience of Quality 4.0 in action at the workshop level. In this paper, a hybrid model based on a neural network (NN) and expert system (ES) is proposed for dealing with control chart patterns (CCPs). The idea is to have, instead of a passive descriptive model, a smart predictive model to recommend corrective actions. A construction plaster-producing company was used to present and evaluate the advantages of this novel approach, while the result shows the competency and eligibility of Quality 4.0 in action.

中文翻译：

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行动中的Quality 4.0：石膏生产中的智能混合故障诊断系统

工业4.0（I4.0）代表了制造业的第四次工业革命，表达了采用新兴技术的工业公司的数字化转型。未来的工厂将享受混合解决方案，而质量是所有制造系统的核心，无论产品和产品的类型如何。Quality 4.0是I4.0的一个分支，旨在通过采用智能解决方案和智能算法来提高质量。有许多概念性的框架和模型，而主要的挑战是要在车间级实践质量4.0的经验。本文提出了一种基于神经网络（NN）和专家系统（ES）的混合模型来处理控制图模式（CCP）。这个想法是要拥有一个被动的描述模型，而不是一个被动的描述模型。一个智能的预测模型，以建议纠正措施。一家建筑石膏生产公司被用来展示和评估这种新颖方法的优势，而结果则表明了Quality 4.0在实践中的能力和资格。