In the manufacturing industry, machine health is at the top most priority: Without proper working equipment, the whole supply chain screeches to a breakdown.

Now, machine health monitoring relies on the method embraced. In the beginning, we had reactive maintenance, wherein action was taken after the breakdown has happened. Unplanned maintenance generally costs three to nine times more as compared to planned maintenance. As per The business research company report, the global industrial machinery market is assumed to grow from $534.89 billion in 2020 to $572.62 billion in 2021 at a CAGR of 7.1%.

Preventive maintenance is the maintenance where actions are taken before so that the chances of breakdown are decreased resulting in improved efficiency of machines. It is the maintenance that is usually performed on any equipment to minimize the possibility of fault. It is concurrently performed while the equipment is still performing so that it does not break down suddenly.

When manufacturers have precise visibility into machine health, they can resolve equipment concerns via a process of cross-functional collaboration.

For manufacturing leaders, the aim of digital machine health implementation should be to discover opportunities system-wide and standard facilities to make every production line operate like your best one. Here are three important ways you can do this at a company-wide level to improve manufacturing productivity.

1. Interpret Assets at Scale
When you can track the health of every machine in your facility, you can better interpret how all of your assets better operate together. You can check out which are your most productive lines and can easily track the configuration of those machines. You can then repeat that same configuration in other lines and minimize the risk of unproven production lines.

The important aspect here is having more accurate data to give you a more precise idea of which lines are precisely the most effective and productive.

Machine health data will give actionable insight into the real reliability of the machines in your facilities, which can assist you to make better-informed decisions. In addition to that, instead of depending on lagging performance metrics, machine health utilizes mechanical data likewise vibration, heat, as well as ultrasound readings to estimate future performance concerns.

If you need to accelerate production or transfer production to another facility, for instance, you will know which facilities are best equipped to handle it, and if you have to shut down a facility for any reason, you can choose your least efficient one based on real-time mechanical health and performance data. The efficiency of machines in any industry relies on healthy monitoring, which minimizes downtime, which means that the continuous productivity of the machinery.

2.Better Coordination Between Various Teams

Machine health insights allow maintenance and operations teams to map activity based on a common set of machine metrics as well as real-time data insights. Technicians and operators can react on suggestions based on the real condition of the machine and root cause diagnostics. Together, these teams can coordinate to remove evolving problems and optimize production processes as well as control parameters. Machine health solutions also make it simpler to give expertise remotely; and regulate best practices for better reliability, maintenance and operations.

When machine health metrics are goes down, a machine health platform will alert managers that maintenance is required before any concern arise. The technicians performing repairs then have access to a huge array of data that enable them to work more efficiently. On a large scale, machine health data can be integrated with operational data, enabling manufacturing leaders to optimize facility design in a way that improves the OEE of individual machines.

3.Replicate Best Practices across Facilities more Efficiently.

Predictive Maintenance is work well for devices or equipment which execute critical functions or which have failure modes that can be more cost effective predicted with help of regular monitoring.

With machine health data across all of your factories, you can identify your best performers and utilize them as standard to compare your other sites against. By working on the data to reveal why your top performers are operating more effectively, you can utilize those machine health insights to develop best practices across the company, optimizing every shop floor for maximum efficiency.

With machine health, you can jump into the mechanical data online and balance your other facilities that generate these products to see whether their machines are experiencing similar issues. Machine health diagnostics can assist you to find out the root of the concern and recommend ways to resolve those. Then, you can easily optimize those machines at a company wide level.

Rather than recognizing the concern months or even years later when the machines have drained down so much that they’ve started to lower product quality, you can resolve the problem at scale before it increases, assuring high-quality output at each factory in your region.

The industrial world is undergoing through a quick shift toward digitization that’s been remarkably accelerated by the COVID-19 crisis. Machine health offers a proven, crucial use case and serves as an important part of this shift. This is why manufacturing leaders are now adapting a new era of machine health and performance.

To learn how digital machine health monitoring system can help you  to reveal more opportunities, build more efficient production lines, and make better-informed decisions, contact our experts today.