Implementing a system for data collection and processing allows for minimal downtime assessment.
You can monitor current production processes, as well as back in time. The system gives full picture of your operation as a whole or for individual facilities.
The system provides reliable real-time data which allows for the calculation of complex efficiency indicators.
The availability of technological, marketing and financial data in the model makes it possible to calculate optimal operation planning.
scientific R&D in production guarantee increased efficiency of processes.
Our professional experience has been honed nationally and internationally.
We know all the subtle aspects in the production process of oil refineries.
Unlimited number of potential users and adaptability to the processes involved on any level of management.
Years of experience
We’ve been in business over 25 year and are ready to share our experience.
High level of competency
Our systems are designed by top engineers and developers combining expertise from both industrial production and software engineering.
Our products and solutions are designed to be uniquely customizable.
The system for data-flow monitoring control concentrates all available information about stages and production processes, starting with equipment gauges and technological flows and finishing with outside data like automated transportation and logistics systems. It shapes the general picture of the production cycle in a facility for a given unit of time.
The system consists of interconnected subsystems performing data-flow monitoring functions at all repartition stages – from reception raw materials, through multi-stage processing, to final product shipping.
The automated data processing of mass and energy flows is converted into uniform mass/volume values against which the efficiency of technological production parameters is assessed. Thus, an analysis of “planned vs. actual” is automatically generated and a report can be requested for any time-frame length.
The system automatically reconciles the production data reports from different facilities, which significantly reduces time and human factor in the preparation of complex reporting.
The system includes:
- Automated calculation of mass balances for different technical facilities
- Reconciliation of experimental data for mass balance calculation
- Calculation of energy balances
- Customizable reporting forms
The development of a plant model begins with thorough familiarization with its technological processes. The model describes all production processes including mass flow for all facilities, the connections between them and the sources of data: from gauges to initial documentation. Analysis is conducted about the reliability and completeness of all data.
On the basis of that are built algorithms for analysis of the efficiency of the production plant and its business process. Interfaces are created for displaying data from:
- The automatic systems for collection and storage of technological information
- Report systems for receiving of raw materials and shipping of final products
- Systems for laboratory analytical production control
- Systems for monitoring energy resources utilization
All information is collected, compiled and made available to staff and management in a user-friendly and visually ergonomic form. Using this information, the main purpose of modeling the process is achieved– improved efficiency of the production process.
- Assessment of the efficiency of production based on complex indicators.
- Production audit.
- Error detection.
- Compiling data massifs for virtual analyzers
- Identification of possible causes and places of occurrence of technological losses.
The completeness of information about all production processes guarantees the comprehensive audit, as a result of which is developed a system of Key Performance Indicators – KPI. The analysis of these indicators makes it possible to determine optimal value and permissible limits of deviation for the technological processes.
Enterprise activity planning is carried out on the basis of a mathematical model of the enterprise using linear programming techniques. Optimal plan for different time intervals is calculated: day, week, month, quarter and year. The most efficient modes of operation are determined not by average (mean) statistical values, but on the basis of time-dynamic, actual production indicators, which are automatically calculated by the system for data-flow monitoring and control. Optimal plan is achieved based upon both economic and technological criteria.
Production planning takes into account the following dynamic factors:
- Changes in market conditions;
- Changes in production costs;
- Changes in quantity/quality of the raw materials and their subsequent effects on the end-product;
- Seasonal changes in the cost of energy resources;
- Possible deviations in the modes of production related to maintenance, repairs and upgrades;
- Utilization of possible previous-period leftover supplies;