Solutions
Production optimization and Industry 4.0
The best possible use of resources to create customer value
The development of digitization, massive price reductions of electronic devices and progress in processing and interpreting process-based data have jointly opened up new opportunities for deeper understanding of the nature of technological processes, material behavior and interactions.
It is therefore much easier to analyze the causes of often very complex problems, often without the need to understand their true nature. The performance of today's workstations allows simulation of process behavior under different conditions, thus selecting the best available solution in terms of important parameters that the user can formulate.
Production efficiency increase
- Process mapping and design of future more efficient processes (including preparation for process automation, implementation of software or cloud solutions, simulation of collision states, etc.)
- Process Improvement, Lean Six Sigma, Quality Assessment – all using data analytics and advanced imaging methods to assess the real impact of implemented measures
- Product-specific KPI or technology design and real-time performance monitoring, including early warning for non-standard measurement values
- Optimize production costs based on selected optimization parameters
Production planning
- Production planning – continuous updates of the production plan depending on current requirements, availability of production capacities, materials and human resources, organizational constraints
- Capacity planning – medium and short-term capacity utilization plans to ensure continuity of production and flexibility to compensate for changes in requirements
Maintenance optimization
- Maintenance review and optimization – maintenance management and organization optimization, effective controlling and reporting setup, material and spare parts management, support of the information system
- Preventive and predictive maintenance model – replacing reactive approach with preventive and predictive model to reduce machine failure and hence related costs
Readiness assessment for Industry 4.0 implementation
- Readiness analysis, identification of opportunities for digitization and solution design
- Feasibility study of identified opportunities and business case determination
Industry 4.0 implementation
- Development of selected opportunities and preparation of documents for selection process with suppliers of technological solutions
- Implementation support and monitoring
