Manufacturers are aware that, particularly in their high-cost, fast-moving, and fiercely competitive sector, maintenance has become the number one factor that decides their success. In today’s fast-paced world, maintenance strategies from the past just do not work, and those manufacturers who continue to use them are rapidly disappearing. Do you agree?
In order to obtain more accurate forecasts and useful insights, modern maintenance makes use of technology, such as IoT devices for data collection and machine learning for data processing. However, which type of maintenance your manufacturing company implements is solely your decision.
In this article, we explore the main types of manufacturing maintenance, offering insights into how they actually work.
What is Manufacturing Maintenance?
Manufacturing maintenance refers to the process of utilising a systematic approach to make sure the organisation’s machinery and equipment are in good working order. Scheduled maintenance plans and various types of breakdowns are part of the process.
However, this process is not as simple as it may seem. There are several expenses to take into account when choosing which maintenance strategy to implement. Maintenance can be costly due to parts, technical labour, and other supplies. There are trade-offs between the expenses and the degree of factory upkeep in every plan.
Maintaining a manufacturing factory is essential to safeguarding large capital expenditures. Facilitating effective production with the fewest maintenance bottlenecks is its most crucial role.
Key Takeaways
- Different maintenance types help manufacturers prevent equipment failures and keep production running smoothly.
- Choosing the right maintenance approach can reduce downtime, control costs, and extend equipment lifespan.
- A well-planned maintenance strategy improves equipment reliability, productivity, and overall operational efficiency.
Main Types of Maintenance in Manufacturing
From reactive, predictive, time-based, preventive, and condition-based to prescriptive, there are different kinds of maintenance frameworks. In the section below, we discuss each of the maintenance techniques in relation to manufacturing.
Reactive Maintenance
Did you know that most manufacturers begin with reactive maintenance? In manufacturing, this is the conventional approach to maintenance.
Let’s simplify its definition. This kind of maintenance requires you to respond to events as they arise. You could be ready or might not be ready, or anticipate it. The entire production line is clogged when a part breaks, both literally and figuratively.
There is unplanned downtime. Employees are underpaid. Revenue is lost by the business. And all you have to do is wait for your maintenance teams to show up and swap out the problematic part.
Days of downtime, missed deadlines, and significant financial losses could result from this, particularly if the broken instrument, machine, or part is costly or difficult to locate. Workers are compensated for contacting customers with the product delay message.
Additionally, the entire supply chain is affected by the expenses and dangers.
Preventive Maintenance
Preventive maintenance, sometimes referred to as time-based maintenance (TBM), is the next logical step when manufacturers realise that reactive maintenance is not working.
In order to replace parts before they break down, this type of planned maintenance is arranged in advance. This is carried out at predetermined intervals, like every 30, 60, or 90 days. Manufacturers might plan maintenance for off-peak hours or anticipate a specific amount of downtime.
This helps guarantee that, barring crises or unanticipated events, equipment will be operational during all scheduled production periods. The ‘Mean Time Between Failure’ (MTBF) concept is used in time-based maintenance to calculate the optimal period between part replacements based on prior failures. It is most effective for sections that experience consistent wear and tear and frequent use.
Further, preventive maintenance can be effective for equipment with predictable wear-and-tear rates, easily replaceable, reasonably priced parts, and regular use. In these situations, it is straightforward, dependable, and efficient.
When combined with other maintenance techniques like predictive or prescriptive maintenance, preventive maintenance can be more advantageous.
Usage-Based Maintenance
What about all those situations where preventive maintenance is not easily applicable or where it would be excessively costly? Then, in order to account for fluctuating machine usage, manufacturers can develop more reasonable schedules, ultimately lower costs, and easily shift to usage-based maintenance.
Usage-based maintenance makes use of a usage period, similar to how time-based maintenance employs a predetermined time interval to replace parts.
It lessens waste and the possibility of over-maintenance.
Condition-Based Maintenance
Condition-Based Maintenance eliminates some of the uncertainty associated with forecasting maintenance schedules utilising the previously discussed calendar- and condition-based maintenance techniques.
Similar to usage-based maintenance, this type of maintenance has a higher volume and depth of data, as well as much more regular monitoring. Is there evidence of wear on the tool? Is there a decline in performance, or are there other indications of an approaching failure? Only when an item’s quality falls below a predetermined threshold can maintenance take place.
Sensors attached to the instrument or machine may be used for continuous measurements, or they may originate from less common analogue data gathering techniques like visual inspection.
Predictive Maintenance
Predictive maintenance combines several of the advantages of each category, outperforming all the previously outlined solutions. With growing precision, this technology assists manufacturers in forecasting when maintenance is most likely to be required.
By using technologies like artificial intelligence, machine learning, and Internet of Things devices, predictive maintenance helps manufacturers anticipate problems and replace parts before they have a negative impact.
By doing this, over-maintenance hazards, including extra labour and parts costs, waste, and a higher chance of human error are avoided. Additionally, it avoids problems like critical failure, unscheduled downtime, and employe or equipment damage that are linked to poor maintenance.
This is accomplished by gathering data from factory machines that have IoT sensors installed. The data is then analysed based on both historical and current data, frequently using machine learning to identify trends and forecast failure.
Prescriptive Maintenance
Prescriptive maintenance extends predictive maintenance to deliver the most valuable answer to upcoming maintenance difficulties. Manufacturers can handle their own maintenance requirements using prescriptive maintenance, eliminating the need for a wide range of specialists.
Prescriptive maintenance makes use of the same technologies as predictive maintenance, such as machine learning and industrial IoT, but it also provides scenario simulation to direct action. If predictive maintenance indicates that your tool’s current vibration patterns will cause it to fail within 60 minutes and historical data indicates that those patterns precede failure, prescriptive maintenance will indicate that you can extend the tool’s life by another five hours by reducing the load on it by 40% right now.
This way, prescriptive maintenance instructs you on how to make the most of your resources, including both time and equipment.
How Cerexio MES Combines All Types of Maintenance Requirements in Manufacturing
Cerexio presents a robust MES solution in Singapore that brings prescriptive, preventive, predictive, reactive, usage-based, and condition-based maintenance requirements under a singular synchronised platform. Our software solution helps offers the features for your manufacturing company to keep an eye on equipment performance, schedule maintenance activities, trace machine conditions, and respond quickly to failures.
Call for a free demo.
Cerexio- Prevent Manufacturing Failures Without Extra Costs
Choosing the Right Manufacturing Maintenance Strategy for the Best Outcome
It is important for a manufacturing company to make their customers receive the products on time, and in that picture, machine failure can be one of the most possible bottlenecks. This only ruins your money, but destroys your brand reputation as well. This is why, as a manufacturer, you need to choose the best maintenance strategy, considering the size of your organisation, production processes, your investments, etc.
With the right strategies, you can easily keep up with the pace.
FAQs About Types of Maintenance in Manufacturing
The main types of manufacturing maintenance include predictive, preventive, prescriptive, reactive, condition-based, and usage-based. However, they differ in characteristics, but each of these kinds is there to support manufacturers in managing equipment performance and prevent unexpected failures.
Preventive maintenance refers to the framework where you can regularly schedule inspections, servicing, cleaning, and part replacements in order to avoid potential equipment failures and keep up with reliable manufacturing operations.
Predictive maintenance is the mechanism that combines advanced technologies such as machinery data, sensors, and analytics to closely track machine conditions, spot potential failures, and schedule maintenance before breakdowns occur.
The manufacturing industry mostly opts for predictive and preventive maintenance as they possess the potential to reduce unexpected downtime significantly, control maintenance expenses, extend equipment lifespan, and empower more reliable production processes.