The company develops robust digital solutions for the heavy industry, including machinery, mining, metals, oil & gas, and chemical sectors. Zyfra leverages IIoT, big data, and artificial intelligence to facilitate digital transformation for its clients operating across industries. The company empowers enterprises in the heavy industry to augment their logistics capabilities in several countries, including Finland, Russia, India, France, Germany, Turkey, Chile, Peru, South Africa, and Morocco. Zyfra assists these industrial enterprises in using their data to enhance production efficiency and safety for the benefit of the people and the environment.
“Our primary goal is to help clients in enhancing the integrity and reliability of their industrial data, and using it to augment their overall workflow,” says Alexander Smolensky, head of Zyfra industrial AI. According to Smolensky, logistics processes require the management of supply chain components across a vast geographical area, which makes monitoring and controlling crucial equipment a difficult task. For instance, the logistics operations for manufacturing organisations comprise the movement of raw materials and finished products. In such cases, any inefficiency in the supply chain can lead to a significant loss of resources.
Many a time, the root cause of this issue is in the fact that organisations still leverage traditional systems that are hard to maintain. To overcome this, large enterprises are investing heavily in digitalisation.
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Our primary goal is to help clients in enhancing the integrity and reliability of their industrial data, and using it to augment their overall workflow
“We assist our clients in gathering relevant information on every piece of technology they have, and we do that with minimal investment from them,” says Smolensky. To consistently address the needs of clients, Zyfra is investing heavily in the utilisation of emerging data and information technologies. Considering the fact that the automation of the technological process remains low in the manufacturing landscape, Zyfra continues to work toward its goal of increasing the level of automation.
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Company
Zyfra
Headquarters
Helsinki, Southern Finland
Management
Alexander Smolensky, Head of Zyfra Industrial AI
Description
Zyfra specializes in the development of robots, AI, and IIoT-based solutions for the heavy industry, including machinery, mining, metals, oil & gas, and chemical sector. Zyfra leverages IIoT, big data, and artificial intelligence to facilitate digital transformation of the industry and overcome the prevalent operational challenges. Zyfra’s mission is to empower industrial enterprises in using their data to enhance production efficiency and safety for the benefit of the people and the environment. The advanced digital solutions offered by Zyfra are designed to enable a gradual shift toward greater levels of productivity with robotics and other emerging technologies
Zyfra PdA solution analyses the real-time data from CNC machines, alerts users whenever an anomaly emerges, and indicates the possible cause while giving recommendations for further actions. The system classifies a range of anomalies like tool quality, operator error in case of incorrect operating modes selection and machine failure.
Manufacturers of large-dimensioned products made of expensive materials face a detect defection problem. Defects are caused by many factors such as the quality of the cutting tools, technological faults, equipment wear, etc. There is a need for an intelligent system which will take into account all the necessary information from equipment monitoring systems, evaluate the impact of this information on defects and help operators and technologists to make decisions, said Alexander Smolensky, Business Development Director of Zyfra.
Metalworking machines failures might lead to defects in manufactured parts or cause equipment to break down. Implementation of the system results in cost reduction of manufactured parts, improvement in product quality and decline in spoiled products amount, as well as reduction of maintenance and repair costs and equipment downtime.
According to Vason Bourne independent research firm, over 80 percent of companies have experienced an unexpected outage within the past three years. Nearly three-fourths of organizations say zero unplanned downtime is now a top priority or the No. 1 priority for their company. The average cost of unplanned equipment downtime is $260,000 per hour, according to research conducted by Aberdeen.
Implementation of Zyfra PdA is envisioned for CNC machines embedded with MDCplus real-time machine monitoring and manufacturing data collection system. The operating principle of the equipment monitoring system is that each machine automatically transfers data about its own performance into a single digital system. Data about the equipments condition and workload, and its operating mode, are sent from the machines to computers and other devices equipped with special software, making it possible to promptly eliminate downtime and providing an objective evaluation of the quality of machine operators work.
Zyfra has connected 10,000 CNC Machines to its MDCplus real-time machine monitoring and manufacturing data collection system. The projects have been implemented in Bulgaria, China, Finland, France, India, Romania, Turkey and Singapore. India has become the key foreign market for Zyfra with more than 500 CNC machines connected to MDCplus system in 2019. By 2021 the company is looking at more than 2,000 MDCplus installations in India.