Focus segment Predictive maintenance – vital for efficient production
Today, predictive maintenance has become all the more important in world of Industry 4.0, which ensures efficient working processes along with reduced downtime and cost.
According to a report by research specialist, IoT Analytics, the global predictive maintenance market is expected to reach USD11 million by 2022. Gone are the days when physical checking was mandatory to ensure that a machine or process was in good shape or required maintenance. With the introduction of Industry 4.0, companies can now monitor the functioning of their machines and processes 24/7 in real time and also get updated on whether a particular machine or part requires maintenance. Predictive maintenance reduces cost, downtime and also ensures quality improvement and machine utilisation.
Companies offering predictive maintenance
Some of the leading companies that have implemented predictive maintenance include Siemens, SKF, ABB and many more. Last year, Siemens acquired the predictive maintenance specialist, MRX Technologies, for condition monitoring of rolling stock and infrastructure. The company also acquired a contract for the installation of condition-based predictive maintenance systems on-board the German railway cargo carrier DB Cargo’s locomotive fleet.
In April 2017, SKF, a global supplier of bearings, seals, mechatronics and lubrication systems, launched a Remote Diagnostic Center in Pune, India. The centre offers the company predictive maintenance programmes for original equipment manufacturers and staff members of plants for periodic or continuous monitoring of critical machinery.
Ranking predictive maintenance
In 2016, a study was conducted by Deloitte and the Council on Competitiveness called “Global Manufacturing Competitiveness Index”, in which views from over 500 global executives were examined around key drivers of manufacturing competitiveness, including advanced manufacturing technologies. Interestingly, it was noted that executives from the USA and China gave more importance to Predictive Analytics, compared to other advanced manufacturing technologies such as smart, connected products; advanced materials; smart factories; digital design, simulation or integration.
On the other hand, Europe ranked Predictive Analytics fourth. Failing to give importance to predictive maintenance leads to challenges in the supply chain, and players may even miss out on critical timing as well as business opportunities.
The concept “Predictive maintenance” still has a long way to get settled in in manufacturing facilities across the globe but the sooner one starts, the better it will be. Hence, it is no surprise that one of the world’s largest trade fairs for industrial technology, Hannover Messe will also be highlighting this significant segment. Come along and stay updated on the latest technological trends and solutions in the industry.
This article appeared on www.maschinenmarkt.international.