Increasing production efficiencyIIOT and AI industrial solutions
Zyfra develops industrial digitalization technologies, invests in such products and improves the Industrial Internet of Things and Artificial Intelligence environment. Company's key fields of industry are machinery, metallurgy, mining, oil & gas and chemical enterprises. We promote readymade industry solutions in predictive analytics and data analysis, tech processes optimization, machinery and floor staff monitoring.
acting digital advisors and digital doppelgangers
Zyfra MDCplus: manufacturing data collection (MDC) system
Do you know what actually happens in your workshop?
To make effective decisions, you need objective information. The first step to increasing productivity is real-time personnel and equipment monitoring.
Zyfra MDCplus is a real-time machine monitoring and manufacturing data collection (MDC) system with hundreds of customizable reports and charts that can be used to track jobs, parts, operations, work centers, OEE, scrap, costs, downtime and people.
MDCplus key features
Monitoring of equipment states and downtime reasons in real time on a linear chart, in a table, or on a facility floor plan;
Monitoring of equipment operation parameters (current, power consumed, temperature, speed and feeds, JOG correctors, spindle and axes load, PLC signals, etc.);
Control of equipment power consumption parameters;
Detailed info for each machine (event log, error log, list of measurable parameters for the machine, process information, etc.);
Video monitoring of production areas, option for video capture of individual events;
Setup of controlled events and notifications for appropriate company units (e-mail, SMS);
Reports generation for company managers and units with automatic distribution according to a set schedule;
Display reports on the monitor (TV panel) on the facility floor and on mobile devices (tablets, smartphones);
Trends in equipment and staff performance analysis;
Calculation of key performance indicators (KPIs) for equipment and staff, including OEE, as per ISO 22400-2 2014. KPIs can be calculated based on user-defined formulas.
Production monitoring module
Monitoring of manufactured output and scrap;
Control of the time standards for the execution of technological operations;
Control of telemetry parameters during manufacturing output in order to reduce spoilage;
Generation of shift tasks, routing sheets, and orders;
Report generation on manufactured output and rated time and KPI calculation, including OEE.
Vibration Monitoring and Diagnostics module
Measurements of key parameters characterizing the technical state of key machine components;
Comparison of parameter values with permissible levels and alerts generation when permissible levels are exceeded;
Send data on the actual state of equipment components to the CMMS system;
Crash and impact detection with issuing machine shutdown signals;
CNC Program Management Module
Storage of NC programs;
DNC Communication (ETHERNET, USB, RS232, IFSP);
Analysis of NC program usage and comparison of the code with the standard.
Downtime Management Module
Dispatch of non-scheduled (emergency) repairs and maintenance;
Scheduling of MRO operations based on work hours and actual states of the CNC machine;
Control of the execution of scheduled repairs;
Management and recording of the work of maintenance and repair staff;
Management of procurement for maintenance and repair services;
Documentation support of maintenance and repair operations;
Interaction with external service providers.
API connection for external ERP, CAD/CAM/PDM, MES and BI systems
Synchronized reference data;
Sending documents (order, shift task, routing sheet);
Obtaining actual data (order/operation/machine operation/equipment/employee);
Obtaining any CNC machine operation data.
Data collection scheme
Zyfra Digital Advisor: AI recommender system
Why store terabytes of data?
Metallurgical, chemical and oil enterprises collect and store terabytes of information about the progress and results of technological processes. Modern artificial intelligence algorithms can find hidden dependencies in the collected data, while doing it better and faster than a person, thus revealing the unfulfilled potential for increasing of operational efficiency.
is a tool for analyzing historical and current data and issuing recommendations to the operator to achieve specified target parameters.
How it works
ZYFRA Oy, Finnish major digital solutions developer for international market, will present its real cases and speak about best practices towards the Industry 4.0 for industrial enterprises. ZYFRA, specializing in Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) based solutions for machinery, oil and gas, mining, steel making and chemical enterprises.
ZYFRA Company AI- solution helped Philip Morris full cycle production facility to sufficiently cut energy costs on cooling system. The system uses AI algorithms that reveal the unfulfilled potential for increasing of operational efficiency. Smart recommendation solution was set within 3 month only.
Finland-based company ZYFRA, specializing in Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) based solutions for the industries, became a Silver Sponsor for the IoT Solutions World Congress in Barcelona.
Zyfra, a Finnish developer of solutions for industry digitalization, will act as a silver sponsor of the leading international event IoT World Congress, which will be held in Barcelona from October 16th to October 18th, 2018.
ZYFRA, a company specializing in IIoT and AI solutions, has established its European headquarters in Helsinki, Finland. The company is expected to break the news on November 30 at Slush 2017, Europe’s major IT event.