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Consideration of digitalization for the purpose of resource efficiency in a learning factory

机译：思考数字化在学习厂中资源效率的思考

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Product diversity is increasing as a result of changing consumer behavior and diversification in global markets. For manufacturing companies, this development means an increase in the complexity of the required production systems and all company processes involved. Digitalization can make a decisive contribution to mastering this complexity and also offers a number of approaches to conserve resources and avoid waste at all levels of the organization. Simulations in the product development can help to optimize the material usage. The simulation of logistics and production processes helps to avoid waste in the material flow. The increasing use of low-cost sensors enables comprehensive data to be obtained on material movements and energy consumption. These data can be evaluated via big data analyses in order to develop approaches for the control and regulation of material flows and energy consumption. The visualization of data in energy management systems brings transparency, which shows new approaches for optimization. In order to improve one's own competitiveness through digitalization a strategic approach is required. Several models and tools are available for the development of a company-wide strategy for digitalization. The Lower Saxony Learning Factory for Resource Efficiency ("NiFaR") has analyzed models and tools to use them for suitable applications in the production environment of the Factory. By using sensor technology and artificial intelligence and by visualizing the results, NiFaR enables its visitors to experience and comprehend the potential of digitalization for the purpose of resource efficiency. It also offers training on this topic for consultants and employees of companies, ranging from the presentation of different digitalization approaches to practical implementation examples.
机译：由于在全球市场的消费者行为和多样化不断变化，产品多样性正在增加。对于制造公司来说，这种发展意味着增加所需生产系统的复杂性以及所涉及的所有公司流程的复杂性。数字化可以对掌握这种复杂性做出决定性的贡献，并且还提供了许多方法来保护资源，避免在组织的各级浪费。产品开发中的模拟可以帮助优化材料使用。物流和生产过程的仿真有助于避免物质流动的浪费。越来越多的低成本传感器的使用使得能够在材料运动和能耗上获得全面的数据。这些数据可以通过大数据分析来评估，以便开发用于控制和调节材料流量和能量消耗的方法。能量管理系统中数据的可视化带来了透明度，这表示了优化的新方法。为了通过数字化提高自己的竞争力，需要战略方法。有多种型号和工具可用于开发公司范围的数字化战略。资源效率的下萨克森州学习厂（“Nifar”）分析了用于在工厂生产环境中使用它们的型号和工具。通过使用传感器技术和人工智能以及可视化结果，Nifar使其访客能够体验和理解数字化的潜力，以获得资源效率。它还为本顾问和公司员工提供培训，从呈现不同的数字化方法对实际实施例子。

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