20TH JAN 2023 | Time: 3 PM onwards IST
Venu: Regenta Central, Bharuch
20TH JAN 2023 | Time: 3 PM onwards IST
Venu: Regenta Central, Bharuch
In today’s highly competitive market, you must deliver high-quality products quickly and cost-effectively. Downtime is a disaster, as is malfunctioning machinery or equipment that hampers product quality. Hence, the importance of superior maintenance. Driven by innovations like big data applications, the Internet of Things, machine learning, augmented reality, etc., maintenance is becoming increasingly smart. Smart Maintenance is one of the most important application scenarios of Industry 4.0. After all, with the right digital tools, companies can extend the service life of machinery and equipment and operate them much more cost-effectively.
In Industry 4.0, Smart Maintenance refers to all technical and organizational measures aimed at using digital tools to make maintenance and servicing more efficient and contribute to greater value creation for the company.
In the past, maintenance services were mainly reactive– fail and fix, condition-based – signs of imminent failure – or preventive. New technologies, however, enable increasingly flexible and intelligent maintenance operations that automatically recognize indicators of failures or defects, thus opening the door to predictive maintenance.
An intelligent maintenance system can process the collected data, provide insights in behaviour, anticipate erroneous situations, trigger alarms, and give instructions for preventative maintenance. It combines Big Data and the Internet of Things, collecting data related to historic events, the asset health, and performance of machines and machine parts and can thus effectively reduce operational and maintenance costs.
Unplanned downtime can be eliminated by the automatic scheduling of maintenance before equipment failure happens, and when it does happen you will know exactly where and how to solve it. The total availability and performance of equipment can be improved.
An intelligent maintenance system brings together technology, data, analyses, prognosis, and resources aiming for the machines and systems to achieve the highest possible performance levels and near-zero breakdowns.
To make the most effective use of an intelligent system you first will need to think about which data you want to collect and how. With the right data acquired from monitoring assets, companies can obtain a competitive advantage by gaining relevant insights in the performance and usage levels of machinery. By using an intelligent system criticality, planning, processes, production, use of resources, maintenance, stock levels and spare parts can be managed to an optimal form.
Data collection and remote monitoring combined with an intelligent maintenance system enable an information-based and future-oriented predictive and optimal maintenance strategy. Prognoses and valuable insights can be created on the future, actual and historical condition of machines and machine components.
The goal of using an intelligent maintenance system, leading to predictive maintenance, is to perform maintenance at a set point in time when the maintenance activity is most cost-effective and before the machinery loses performance within a threshold of time.
In addition to maximizing uptime, Smart Maintenance helps to:
Rajesh Agravat has 30+ years of experience in various capacities to maintain and safeguard the OT infrastructure. He is working with Rockwell Automation for the last 10+ years as a service lead to guide customers in optimizing OPAX and implementing OT Cybersecurity in Control Systems.
Serene Saptasagar has 8+ years of experience in Metal Manufacturing and Electrical & Automation Field. She works with Rockwell Automation as a Technology Consultant & is responsible for technical support in pre-sales activities for a specific range of products and software.
Vimal works as Product Manager – Safety, Sensing & Industrial Controls with the Intelligent Devices group of Rockwell Automation. He brings in 18 years of experience out of which 11 years are in Machine Safety. His expertise includes machine risk assessment as per ISO standards, sharing risk mitigation plans, and validating the implemented safety measures. Vimal has experience & exposure to working across various industries like Automotive, FMCG, and Food & Beverage.
Mr. Jayesh Joisher has been associated with Rockwell Automation for 22+ years, where currently he is working as a Business Development Manager – in India, handling High-Performance VFD Product Business.
Jayesh with energetic & dynamic career of 30+ years of which 25 Years have been with Rockwell Automation which includes Field Support, Programming, Commissioning,
Proposals & Project Management, and Solution Architect. He has frontend Sales experience as team lead for CPG & Pharma Business & success in Leading Power Control Product Business for the West Region.
His Rich hands-on Experience in process Know -how industries like Metal, Tyre, Fibre, Chemical, Dairy & Paper helps in guiding the Sales Team to provide right Solutions & Products to meet the Customer’s expectations.
can help to increase productivity & efficiency.