Page 52 - Demo

PRODUCTION TECHNOLOGY50 PRODUCTION TECHNOLOGY AAC WORLDWIDE %u2022 2.2026This deep level of machine transparency enables a new approach to predictive maintenance. Instead of performing maintenance strictly according to fixed schedules, maintenance activities can be planned based on the machine%u2019s actual condition. This reduces unnecessary service interventions while minimising the risk of unexpected production downtime.Traditionally, analysing large volumes of process data required extensive experience and considerable time. With the integration of advanced database technology and detailed process knowledge, Wehrhahn MCS now enables the use of artificial intelligence for automated data evaluation.AI-supported analysis can:%u2022 identify the root causes of downtime within seconds%u2022 optimise cycle times and process parameters%u2022 reduce energy consumption and raw material usageThis allows operators to continuously improve plant performance while reducing operational costs.Efficient resource management is now a key factor in modern production environments. The Wehrhahn MCS provides a clear and intuitive interface for analysing both energy and resource consumption.Energy analysis begins with the total plant consumption and can be broken down step by step to individual plant sections and even single automation devices. However, the system not only visualises consumption, but also interprets and processes the data to support optimisation.This capability is particularly powerful in combination with the new Wecomix dosing system. By analysing process conditions, the system continuously optimises the recipe to minimise energy and material consumption for each pouring cycle.The optimisation process considers several influencing factors, including:%u2022 plant utilisation%u2022 raw material prices%u2022 energy costs%u2022 carbon footprint targetsAn example of this intelligent optimisation is Wehrhahn%u2019s green cake tester. If the tester detects that a cake height is greater than required, the system automatically reduces the pouring volume for the next cycle. This results in lower raw material usage and reduced CO%u2082 emissions, all while maintaining product quality.The Wehrhahn MCS provides a range of comprehensive tools for analysing Overall Equipment Effectiveness (OEE). Operators can start with an overview of the total plant OEE, which is automatically calculated from the OEE values of individual plant sections. If deviations occur, users can quickly identify the responsible section and investigate the underlying causes.For each plant section, Wehrhahn specialists have defined the most relevant factors influencing:%u2022 availability%u2022 performance%u2022 qualityThese indicators can also be customised to reflect specific plant configurations or operational requirements.In addition to process and equipment analysis, the MCS features a dedicated tool for evaluating shift performance. The system allows plant managers to compare shifts based on key performance metrics:Data collection and linking across all sections.