Types of Industrial Maintenance In Malaysia  

Explore the various types of industrial maintenance that enhance operational efficiency and equipment reliability. From preventive and predictive maintenance to corrective and condition-based strategies, discover how each approach minimizes downtime and optimizes performance. Learn how to implement effective maintenance solutions tailored to your industrial needs.

5 Types of Industrial Maintenance In Malaysia

Manufacturers know how their productivity partly depends on their industrial maintenance processes. Five types of maintenance are in fact widely recurrent in today’s industry namely: Corrective, Preventive, Predetermined, Predictive and Prescriptive.

Each company has very unique, precise needs and therefore the maintenance objective sometimes could be very much different from others.

In order to help manufacturers make the right decision and deploy the perfect strategy, the writings below want to explain to you what exactly are the different types of industrial maintenance listed above and maybe to shed light on these matters.

Type 1 – Corrective maintenance

• Implemented right after a breakdown has been detected on a piece of equipment or a running production line
• It’s objective is to make the piece of equipment works normally again, so that it can perform its assigned function.
• Corrective maintenance can either be planned or unplanned.

Type 2 – Preventive maintenance

• It is applied before any equipment breakdown or failure occurs. Its aim is to reduce the probability of breakdown or degradation of a piece of equipment, component or spare part.
• In order to implement such option, team has to take the equipment’s history into consideration and keep track of its past failures. It is therefore able to identify the time ranges during which a piece of equipment might break down.
• This type of maintenance is identified as planned maintenance because it’s based on well-established maintenance programs, data and facts.

Type 3 – Predetermined maintenance

• This maintenance solution depends on the programs delivered by manufacturers instead of relying on the actual equipment’s state.
• Manufacturers elaborate these programs based on their knowledge of failure mechanisms as well as on MTTF (mean time to failure) statistics which were observed on its related parts in the past.
• Based on the assumption that this type of maintenance is only applied according to programs elaborated by manufacturers, the teams have no choice but to rely on these programs so they might not be able to anticipate failure (there’s a risk for downtimes to occur and there may be a direct consequence on productivity. Also, they might proceed to replace completely useless parts (which leads to additional costs that could have been avoided).

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Type 4 – Preventive maintenance

• It allows technicians to anticipate breakdowns basing on the generated reports directly in their maintenance management software. They will know when a piece of equipment might break down and therefore proceed to industrial maintenance operations in ahead.
• It is one type of condition-based maintenance in which systems are constantly observed via sensor devices that attached to components of the system and feed constant, real-time data to software. The software then interprets this data and warns maintenance technicians of approaching danger.
• It is generally considered to be the most advanced and intensive type of maintenance as there is a mass data to interpret – and the sensor devices themselves need to be regularly maintained and checked.

Type 5 – Predetermined maintenance

• It is the strategy that uses machine learning to adjust operating conditions for desired outcomes, as well as intelligently schedule and plan asset maintenance.
• Similarly to Predictive maintenance, it utilize the system analysis (in a notch higher) by not only predicting failure events, but also recommending actions to take from the teams (e.g. a complete stop in production may be avoided by running a compressor at a lower pressure as recommended from this maintenance system)
• Prescriptive maintenance is driven by what is known as prescriptive analytics . This type of analysis goes beyond predicting events, to exploring hypothetical outcomes. In effect, you can think of prescriptive analytics as a tool that provides you with multiple scenarios and simulations without having to experience each one in real life. 

Industrial maintenance professionals have the luck (or misfortune) to work in a dynamic field that is already changing due to the impacts of predictive analytics, automation, Industry 4.0, 5G, and other related technology.

That being said, industrial maintenance workers should not yet fear automation as their jobs are here to stay. While the tools they use to monitor and repair assets might change, while the assets themselves might change, we are still far from assets taking care of themselves. 

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How Reams CMMS Can Help

At Reams, we reinvent and help asset-intensive industries in Malaysia to advance their industrial maintenance programs. We provide a cloud-based CMMS app to automate routine steps in maintenance planning, vendor appointment & scheduling process, breakdown analysis and report overview. It is our mission to empower companies to achieve their digital transformation goals by providing first-class CMMS solution.

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