Smart data, artificial intelligence and self-learning machines give mechanical engineering an enormous boost in the direction of Smart Factory and Industry 4.0. Fully automatic control and networking of machines are among the core tasks in many companies. ROI supports companies in the mechanical and plant engineering industry in the digitalization of their value chains, the development of new business models, operational excellence and the creation of a global footprint. ROI´s customers include leading companies in mechanical engineering and plant construction.
ROI supports its customers in plant construction and mechanical engineering throughout all phases of industrial value creation. Starting with network and site planning to ensure a competitive global footprint, through optimization of existing processes in development, production and logistics, to digital transformation of production systems and development of smart products and services. In addition to Operational Excellence programs and projects to increase performance and optimize costs, this also includes, for example, the adaptation of production systems to the changed variant mix or the introduction of timing and flow principles for large assemblies. In order to harness the potential of digitisation, ROI advises its customers on the planning and introduction of Lean Digital and Industry 4.0 technologies, process design for S/4Hana or the development of smart products and services.
Cost reduction/restructuring due to market changes
Sales successes secured pole position for a company in the plant construction and mechanical engineering sector. However, this was extremely at risk: a significant margin erosion with unchanged sales and well-established structures required major changes in a short period of time.
Reduce variance and complexity within the product portfolio in the highly specialised textile machinery construction market. Key objectives: Cost reductions and strengthening the position in the Chinese market.
Quality is not negotiable, regardless of complexity. To bring quality management to a new level, the right combination of proven measures and new technologies needs to be found.
Building a digital twin
One automotive supplier improved the transparency of work and organisational processes in its manufacturing plant for dashboards. The task was to identify and eliminate errors and efficiency losses with a high number of variants and at high speed.