©Zapp2Photo/shutterstock.com

Industrial digitization, Industry 4.0 & IIOT

In digitization, information and process networks converge across legal, organisational and geographic boundaries. For one thing, this shift concerns the higher-level infrastructure, such as health, transport, energy, education and administration. For another, it also concerns economic value chains. Finally, it also affects the individual lives of people, which manifests in the horizontal and vertical development of social networks, new consumption patterns, or entertainment and information processes.

 

    On the one hand, industrial digitization is concerned with the question of how the use of technologies and the principles of Industry 4.0 or the Internet of Things (IoT) can increase efficiency, quality and safety of processes and structures. The digital factory (smart factory) plays a central role in this. Through the comprehensive and consistent use of assistance systems, data technologies and autonomous, adaptive systems, global digitised value-creation networks are created all around the smart factory. These ensure horizontal and vertical integration of R&D, engineering, manufacturing, supply chain management and customer management, and allow highly individual, flexible and efficient manufacturing up to the economic manufacture of individual items.

     

    On the other hand, industrial digitization pursues the goal of developing smart products and services to exploit the potential of the Internet of Things and cognitive technologies for new application and revenue scenarios. Smart products are able to perform autonomous tasks by exploiting integrated connectivity, sensors and computing capacities, coordinating centrally and decentrally via cloud platforms and adapting to changing environmental conditions and tasks. Smart products thus also form the basis for the development of smart services, such as predictive maintenance, data-based business models and higher-level future visions such as the smart city, smart agriculture, or smart healthcare.   

    Finally, industrial digitization means the introduction of new innovation, work and organisational principles including design sprints, MVPs, or crowd innovation in the supply chains of the manufacturing industry and their integration with lean principles. This process requires, on the one hand, a profound change in cooperation, culture and organisational forms and the development of new skills and competences. On the other hand, it makes the consistent development of the corporate strategy, a high degree of transparency about the digital maturity of the company and the definition of implementation-oriented digitization roadmaps absolutely indispensable.

      Our servicesfor industrial digitization
       

      ROI is one of the leading experts in industrial digitization, Industry 4.0 and Industrial IoT in Europe. Our multidisciplinary expertise is based on deep subject, methodological and technological expertise, as well as access to top digitization benchmarks through organising the renowned Industry 4.0 awards and our comprehensive experience from several hundred projects. ROI also operates its own learning factories/IoT factories in Germany, China and in the Czech Republic and is actively involved in committees and associations such as BitKom and IIC that are committed to the implementation of digitization. Our services for industrial digitization include the following:

      • Design of digital transformation and the operationalisation of digital strategy
      • Implementation of digital leadership principles and agile organisational forms
      • Design sprints and minimum viable products (MVPs)
      • Measurement and evaluation of digitization maturity levels (digital readiness)
      • Planning smart factories (technologies, methods, structures, processes)
      • Development and piloting of smart products and services
      • Introduction of digital twins for products and processes
      • Implementation of data analytics
      • IT architecture & platforms
      • Software development
      • Systems life cycle management
      • Training and qualification

      案例分析

      Bild eines Monitors der das Haus steuert
      ©zhu difeng/shutterstock.com

      智能产品开发中的变革

      有时,即使你做的一切都对,那也不够。例如,一个强大的开发团队与家用电器制造商共同取得了坚实的成功。但是现在,客户想要在他们的“智能家居”中将厨房用具、冰箱和搅拌机与 Alexa 联网,并控制这些家电。瑞欧盈通过“数字原生代”的新观点,建立了一个“I团队”,彻查观察其内部变化过程。

      案例分析

      ©MONOPOLY919/shutterstock.com

      “端到端数字化” 项目

      在家具行业,使用数字技术可以多方面受益 —— 虚拟现实、大型数据分析或在线配置,这都有可能开辟新的销售渠道, 吸引新的客户。其挑战是,找到与客户需求、价值流设计相关的、合适的技术组合。针对全球床上用品制造商,瑞欧盈实现了一个 “端到端” 数字化项目,它考虑了所有相关的价值创造点:从客户体验到生产、物流。

      案例分析

      Arbeiter an einer Fertigungsstraße
      ©boleslawiec

      品质卓越

      质量问题是危险的:如果质量问题未被发现或一直被忽视,会造成大量损失;如果质量问题的原因没有得到确认和解决,与之直接相关的成本可以迅速上升到40%。即使质量问题被检测出来,付出的代价也是昂贵的;在最坏的情况下,公司的生存都会受到威胁。要解决这一质量困境,就必须仔细审视整个价值链。这里的一个核心挑战是,如何才能成功地将最佳实践(例如在互联的未来工厂)与新的质量管理方法结合起来?

      案例分析

      Mann vor einem Laptop mit Digital Twin am Bildschirm
      ©FERNANDO BLANCO CALZADA/shutterstock.com

      “数字过程孪生体” 项目

      当某汽车零部件供应商想优化其仪表板制造工厂时,面临着两个挑战。首先,整个过程链,连同所有与生产、供应商管理相关的风险因素,必须变得更加透明。另一个挑战是,必须降低报废率,因为处理某敏感材料时,即使一个微小的错误也会导致整个部件的报废。该企业与合作,使用 “数字孪生体” 将整个生产过程逐步地绘制出来。由此产生一个物联网试行项目,它能辨识是否有改进的潜力,以及触发针对供应商生产和价值流管理方面的改进。