인천운전연수 Maintenance is one of the most important activities that all technological organizations must undertake. It includes functional checks, servicing and repairing of industrial items.
Equipment that doesn’t receive regular maintenance will deteriorate over time – simple issues like warped belts, dry seals or loose bolts can quickly turn into more serious problems that require costly repairs or replacement parts.
Preventive Maintenance
A preventive maintenance strategy focuses on scheduling and performing inspections and maintenance tasks in order to reduce the risk of equipment breakdown. It includes a variety of different maintenance tasks like cleaning, lubricating, and replacing equipment parts. Creating a preventive maintenance schedule is important because it helps to keep equipment in good working condition, reducing downtime and saving on energy costs.
For a facility to implement a successful preventive maintenance plan, the first step is cataloging all of its assets and adopting an organizational calendar for routine preventive maintenance duties. Then, the facility manager can assign work orders to team members and make sure that all of the necessary tasks are being completed on time.
Preventive maintenance can be broken down into two categories: mandatory and non-mandatory tasks. Mandatory tasks must be performed as soon as they are due, and typically include safety or compliance checks. Non-mandatory tasks are a little more flexible and can be delayed without risking penalties or equipment failure.
The exact requirements for 인천운전연수 a preventive maintenance schedule will vary depending on the type of equipment or operation that the asset is performing. However, most equipment should be inspected at a regular interval to ensure that it is operating within industry standards and to catch any issues that might lead to equipment failure.
Predictive Maintenance
Predictive maintenance utilizes data analytics to improve expensive break/fix and scheduled maintenance services. It involves monitoring equipment condition through continuous (online) or periodic (offline) monitoring and diagnostic analysis to predict when maintenance should be performed. This approach can help organizations avoid costly unscheduled downtime and reduce the risk of catastrophic failures by predicting emerging failures and allowing intermediate treatment to be assigned, prolonging the useful life of an asset.
It can also increase productivity by reducing unplanned downtime, while minimizing maintenance costs. A well-orchestrated predictive maintenance program is capable of reducing unexpected failures by 30 to 55% and increasing equipment uptime by 30%.
Using a combination of modern technologies connected to a single AI-powered system, predictive maintenance can identify the warning signs of impending mechanical problems, like vibrations or increased temperature, and provide a maintenance task in advance so that it can be completed before a breakdown occurs.
These tools and techniques include acoustic sensors that detect deterioration in machinery via sound waves, like friction and stress on rotating equipment; thermal imaging that can identify hotspots with electrical circuitry and other process systems that rely on heat retention and transfer; and vibration analysis that can detect anomalies in the movement of machine components that might be caused by wear or by an overload condition. These predictive methods can be applied to everything from a single machine to plant systems and facilities.
Condition-Based Maintenance
In a basic sense, condition-based maintenance (CBM) involves keeping tabs on equipment using performance indicators. These can be low-tech processes like visual inspection or more technologically advanced systems, like gathering data through sensors. One of the hallmarks of CBM is that it’s non-invasive, so measurements can be taken without shutting down a piece of equipment.
To use CBM, your company must first establish baselines for normal equipment operations. These are established using a variety of methods, from manufacturer guidelines to historical repair history and more. Once a baseline has been set, sensors can be attached to monitor key factors such as temperature, vibration frequency, pressure and more. When these sensors detect a change from the normal operating state, an alert is sent to the maintenance team.
Typically, this will trigger a work order that gets the ball rolling on repairs. This process is a good way to avoid unexpected and costly failures while increasing the overall efficiency of your operation.
Of course, the success of your CBM strategy will also depend on how well all involved are trained to understand the program and its benefits. For technicians, this includes a full understanding of how the system works and how to properly use all the sensors and tools at their disposal. This training should be ongoing as new technology and processes are introduced to ensure maximum effectiveness.
CMMS Software
A CMMS software (computerized maintenance management system) eliminates the need for spreadsheets and centralizes maintenance team data into one database. It includes tools for preventive maintenance scheduling, work order creation, inventory tracking and reporting. Modern systems also allow technicians to use a mobile application that syncs with the main server so they can enter and update maintenance data on the go without having to return to their desks.
In manufacturing environments, a CMMS software can be the difference between a plant that stays up and running, and one that experiences costly downtime. Using a CMMS, plant engineers can create and manage processes that prevent equipment failure, track downtime, and cut costs. The system can also control the accounting of assets and their purchase price and depreciation rates; store spare parts information allowing technicians to quickly locate the right part when they need it; and store contractor management records to keep records on outside vendors used in maintenance operations.
If your business is in the market for a new maintenance management solution, you should start by evaluating the current system and creating a list of your requirements. This will help you define which features are important for your operations and workflows. You should also look for a system that is scalable so it can grow as your operations expand and requires additional functionality.