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Zyfra Process
Industries
About Zyfra Process Industries
A drop in product quality, an increase in cost price due to overspending of useful materials, an increase in energy costs, a periodic deviation of a technological process from predetermined norms — these are the most common problems of process production.
The symbiosis of industry competencies and an in-depth knowledge of automation processes is what allows the Zyfra team to develop software for the optimal solution of these problems.
Reduce production costs
Achieve maximum production potential through the construction of cyber-physical systems (Industry 4.0)
Improve the integrity and reliability of data
reduce product cost price?
The creation of a single digital layer and the competent use and analysis of data allows us to optimize business processes, stabilize the production process and, as a result, reduce the product’s cost price. Zyfra’s software products and solutions have repeatedly proven themselves in the solving of similar problems in various branches of process industries.
cost for a batch of Product
- Product used:
- Zyfra Industrial Framework
- Goal
- To solve the problem of cost analysis.
- Effects
- A cost reduction of 4-6%
- ZIF function
- Collecting and archiving data at all stages
of production. Integrating with systems
of a lower (process control system)
and upper (ERP) level. Providing data
to the calculation module (a model
of our own design). The visualization
and gradation of cost sources.
- Collecting and archiving data at all stages
- Product used:
- Zyfra Industrial Framework
- Goal
- To reduce violations of technological regimes.
- Effects
- Reducing unplanned downtime
Increasing production output
An overall increase of production, while maintaining quality (there is a separate module for quality control — ZQA), by up to 12%
- Reducing unplanned downtime
- ZIF function
- Data collection, violation monitoring as well as the visualization of the production process (for dispatcher control).
Alarming (signalization) at abnormal activities — parameter deviations.
Predicting interruptions due to control of abnormal activities.
- Data collection, violation monitoring as well as the visualization of the production process (for dispatcher control).
- Product used:
- Zyfra Industrial Framework
- Goal
- To reduce consumption of useful component, while maintaining quality.
- Effects
- Reducing useful component consumption
Reducing production costs by 3-6%
- Reducing useful component consumption
- ZIF function
- Collecting data, monitoring violations, presenting a visualization of the production process for dispatcher control and managing the process in an optimal mode (6-sigma principle).
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