The effects of unmanaged complexity are particularly evident in production and the supply chain. Companies need a strategy for the future to adapt their production and logistics systems to volatile markets in ever shorter cycles. Customer expectations must be met better than by the competition in terms of quality, time and cost. The processes are complex and require the smooth interaction of many stakeholders. Functioning networks are a fundamental success factor for manufacturing companies.
You have a holistic view, so that delivery times, quality and costs are optimized in all aspects with a common goal
You reach a high product availability and an improved service level
You increase your delivery capability through suitable product structures and mastered networks
You raise potentials for the optimization of the entire supply chain
Network strategy, design and coordination are the success factors for integrating all production sites
Align production supply and market demand through strategic, tactical and operational process optimization
Single source of truth and anchor the digital shadow for optimal transparency
Integrated product and process design to synchronize the supply chain
Identify new technologies early with the right strategy and diversification
Reducing waste through business process management, agility and lean production
Value oriented order processing in interaction with production planning and control
Using digital factory planning to design plant structures and optimize assembly sequences
In the case of a premium OEM, requirements management should be introduced with all supply chain partners in the company.
As part of a comprehensive initiative for the introduction of lean management at a steel manufacturer, two pilot processes in the supply chain were to be optimized in addition to the introduction of a process map.
At a global machine and plant manufacturer, the optimization of production using lean production methods was to be piloted in one area. For this purpose, a lean production audit was carried out to analyze productivity.