The energy transition, a revolution, is shaping the electricity market at a frantic pace. The game's rules are changing, and new resources, marketplaces, services, and actors exist. In the past, electricity producers anticipated electricity demand and price levels based on their solid experience and planned electricity production accordingly. This is changing and has already changed. The electricity supply from renewable sources varies regardless of demand, increasing price volatility in the electricity market. Price spikes tend to pass through the entire electricity supply chain over time, which is apt to encourage end users to plan their consumption. With more adaptively planned consumption, factories can significantly reduce the average price of purchased electricity already - and this development is getting stronger.

Syncron Tech participates at CxO Industry 2023 event, which will be held at Tampere Hall on August 31, 2023. The event has already reached its fifth year and brings together hundreds of C-level decision-makers as well as respected international speakers from pioneering organizations.

Daily operations management and MES The daily operations management - from herein daily management, process of a production facility ensures distribution of important information to every employee. Production processes are often very complex, and the ability to react quickly is essential. Decisions must be made quickly based on facts. The MES system (Manufacturing Execution System) is well suited to support daily management because it deals with issues related to business process management and measured real time process information. The MES system often has relevant KPI figures ready to monitor the progress of production. The observations collected from the operators, combined with electronically collected information, enable monitoring of the efficiency of the measures taken in production and provide a basis for continuous improvement. MES brings many benefits to the daily management of a production facility. By utilizing available data correctly, it enables cost savings, improved quality, identification of bottlenecks, prediction of maintenance needs, avoidance of unexpected production interruptions, rapid response to alarms, and continuous development of production processes.