We Provide Your Innovation and Efficiency Catch.
Helps determine hidden losses, reduce scheduled and unplanned downtimes, increase productivity and maximize productivity.
Critical production, financial and quality information are gathered, business intelligence and analytical is done, results are triggered instantly, and necessary sub-processes are automatically performed.
You can instantly monitor your production data coming from PLC / Scada /Sensors / 3rd party applciaitons via customized Dashboards. Data can be linked to your machines or production lines to keep track of downtimes and production speeds in real time. is associated with other processes to provide flow / trigger synchronization. The most critical point in the calculation of product costs is the reflection of the accumulated costs on the product costs. When doing this, it is very important that the costs are reflected in the products correctly and fairly. Because incorrectly calculated costs can lead to serious problems, ranging from the mistakes in sales prices to the misjudgment of competition strategies in the market.
Unlike most other tools used in the market, there is no need to collect and analyze much data for OEE calculations. The data required for OEE calculation is already held by many businesses. With OEE it is possible that these data can be transformed into a KPI that follows the overall performance of the operator. OEE is a tool that can be used in other areas besides production.
You can configure it according to your needs and you can set up a full-scale infrastructure. Over the web; online analysis, warning, designing queries, accessing data, making exceptions and presenting opportunities.
ETL (Extract, Transform, Load): The data is read from the source, cleaned, downloaded, converted and merged. It is modeled on business, designed according to the structure of business information management architecture to manage data from different sources
It is the measurement of business processes and corporate data by associating them. Based on the KPI key performance indicators (KPIs) defined in the system, it moves on its own to produce work orders.
In the big data; relationships, irregularities, rules and other statistically significant structural cues, and unclear but potentially useful information. By evaluating the data cubes produced, thousands of different queries and analyzes; sector, department and needs. In the regions; level of product, series, model-based sales.