- June 22, 2022
- 5:23 pm
- Comments
It is important to define what type of predictive maintenance we need. The criterion depends on the needs of each area and the service that we are handling in our lines. Next, we will see some options of the types of preventive maintenance that exist: scheduled, opportunity and predictive.
The Schedule consists of assigned tasks on certain dates with the purpose of carrying out inspections, adjustments and planned stoppages, as well as replacement of parts or equipment in order to corroborate proper operation. While the Opportunity method uses the time that the equipment is not in production in order to carry out necessary repairs to guarantee its operation and give it a longer useful life.
Finally, Predictive Maintenance seeks to prevent and detect problems that may cause failures in the future, so periodic reviews are carried out to ensure correct operation.
Is it important to invest in preventive maintenance?
Thanks to maintenance, the benefit that can be obtained with this type of rehabilitation can be quantified. The information must be analyzed to calculate the economic benefits, as well as the ROI (return on investment) obtained by investing in predictive maintenance. It is important to keep in mind that machines wear out, consume energy and that production systems can be optimized to improve their productivity. These are problems, needs, and opportunities for improvement that can be resolved with the capabilities that a proper predictive maintenance program offers.
“When CEOs, managers and CFOs fail to see the size of the benefits that can be achieved with predictive maintenance, they don’t act to support this initiative.”
Photos by SealXpert
Many production managers and maintenance managers know the benefits of implementing a predictive maintenance plan, but they do not know how to quantify the premature wear of a machine or the excess energy consumption due to misalignment. Some are not aware of the opportunities they have to increase company revenue by increasing plant productivity by 2% or 5%. When CFOs see their investment translate into cost savings, cost elimination, increased productivity, and increased revenue, they don’t hesitate to invest in predictive maintenance. They will act faster in this type of initiative the greater the chances of achieving these benefits and the faster they can materialize.
How to justify the investment in predictive maintenance in front of the top management of the company?
By definition, justification means providing reasons, facts or explanations that justify or defend the actions to be taken. One of the most common mistakes made by production managers and maintenance managers is to leave this important step in the hands of good intentions and wishes. The manager or financial officer does not have the knowledge to know how to justify the benefits that he will achieve with predictive maintenance.
Most maintenance managers do not have a model to justify this investment, and when it is achieved, the manager is given a set of reasons to act. They will invest money from the budget if they can see that doing so will increase the return on investment and profits capable of generating more monetary resources or decrease what you are currently spending on corrective maintenance. Financial managers are only interested in seeing the difference between the total benefits that can be achieved with predictive maintenance minus the total cost or total investment required to achieve it.
Think of financial managers as bankers who hold your money. They don’t think about sitting on their money, they want to invest it and get a return on investment. A plant manager’s job is to show you what the ROI will be for him. They must know the request for a greater investment in plant maintenance so that it is reflected in the annual maintenance budget, which must have the characteristics of an investment project that gives greater value to the company, as well as a greater return on investment. investment.
Source information:
- Redacción. ¿Cómo justificar la inversión en mantenimiento predictivo? (2018). Tecnología para la industria.
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