Innovative Quality Management System for Flexible Manufacturing Systems

T. Bihi, N. Luwes, K. Kusakana
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引用次数: 9

Abstract

The next generation of industry; Industry 4.0, holds the promise of increased flexibility in manufacturing, along with mass customization, better quality and improved productivity. In the Industry 4.0 era, manufacturing systems are able to monitor physical processes and make smart decisions through real-time communication and cooperation with humans, machines, sensors, and so forth. Intelligent manufacturing is based on this concept of optimizing manufacturing by taking advantage of technological advances. Flexible manufacturing systems are a form of intelligent manufacturing. A Flexible Manufacturing System reacts to changes in the production process, this includes changes in the product and the production schedule. The problem is that a traditional Quality Management System cannot be used for a Flexible Manufacturing Systems because it cannot keep up with the changes in the FMS. The aim of the project is to design, construct and evaluate an Intelligent Quality Management System (QMS) which can learn, and adapt to the change of the flexible manufacturing system (FMS). It will be able to do this by designing hardware nodes that can be easily added to already implemented test systems that convey information back to an Intelligent Quality Management System that would learn the line lay out and setup with predefined training cycles. Thereafter it should run as a Quality Management System until the flexible system necessitates a retrain.
柔性制造系统的创新质量管理体系
下一代产业;工业4.0有望提高制造业的灵活性,同时实现大规模定制、更好的质量和更高的生产率。在工业4.0时代,制造系统能够通过与人、机器、传感器等的实时通信和合作来监控物理过程并做出明智的决策。智能制造就是基于这种利用技术进步来优化制造的理念。柔性制造系统是智能制造的一种形式。柔性制造系统对生产过程中的变化做出反应,这包括产品和生产计划的变化。问题是传统的质量管理体系不能用于柔性制造系统,因为它不能跟上FMS的变化。本课题旨在设计、构建和评价一个能够学习和适应柔性制造系统变化的智能质量管理系统。它将能够通过设计硬件节点来做到这一点,这些硬件节点可以很容易地添加到已经实现的测试系统中,该测试系统将信息传递回智能质量管理系统,该系统将学习生产线布局并设置预定义的训练周期。此后,它应作为质量管理体系运行,直到灵活的系统需要再培训。
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