Utilizing Autonomous Maintenance in Industrial Manufacturing
Learn the steps and how-tos for operators, maintenance crews, and management to create an autonomous maintenance system for industrial manufacturing.
Autonomous maintenance is a concept followed in a variety of industries where actual machine operations are involved at the ground level of manufacturing. Essentially, this type of maintenance works by the machine detecting the potential cause of failure and does the necessary maintenance itself.
While there can be a debate between the importance of predictive and preventive maintenance, autonomous maintenance enables the operator to perform both predictive and preventive maintenance activities.
Autonomous maintenance strategy does not relieve maintenance personnel of their responsibilities. It does, however, allow them to perform more complex and advanced activities instead of doing common and basic functions.
Some of these basic-level activities and functions that need to be carried out daily include:
- Monitoring oil (and other liquid) levels
- Monitoring of sensors and their wiring
- Checking for cracks or leaks in the mechanical or attached piping network
- Checking for any loosing in the attached systems
How to Implement Autonomous Maintenance
The autonomous maintenance approach creates an environment in which both the operation and maintenance departments collaborate to increase productivity by identifying and eliminating the causes of threats to productivity in an efficient way.
There are seven steps used for autonomous maintenance implementation:
- Increase operator capabilities
- Consistent cleaning
- Removal of contamination sources
- Setting standards for monitoring, cleanliness, and oiling
- Inspection and monitoring
- Visual maintenance management
- Continuous improvement
Let’s look at what each of these steps involves.
Increase Operator Capabilities
Running a machine for a whole shift does not necessarily mean that the operator is master and expert of their machine.
Figure 1. Operators and maintenance crew working together helps improve autonomous maintenance efforts.
For autonomous maintenance to be successful, machine operators need to be knowledgeable about the basic machine workings, identifying the purpose of different subsystems. This training is given by the maintenance department. Some of the basic training includes:
- Understanding the purpose of the machine’s basic components
- Knowing what different problems look like (i.e., loosing, vibration, and abnormal temperature)
- Setting expectations of what levels of a task they can perform
- Identifying types of problems (i.e., mechanical, electrical, instrumental)
The purpose of this step is to have the machine stay in as ideal of a condition as possible, much like it was when newly purchased. This includes basic tasks like:
- Removal of any dirt accumulated on the visible parts of the machine
- Elimination of any cracked, leaking, or broken parts
- Fixing loose wiring in electrical or instrumentation components
- Proper lubrication
Removal of Contamination Sources
Consistent cleaning is a waste of time if the source of contamination is not removed. Removal of contamination sources is achieved with the following measures:
- Installation of barriers and sealing if desired components.
- Improving and increasing cleanliness in areas most vulnerable to contamination.
Setting Standards for Monitoring, Cleanliness, and Oiling
Every maintenance activity can be successful if it is regularly monitored. The easiest way to do this is by setting timelines for these activities. Setting timelines prevents deviation in steps and procedures. Basic things that a maintenance timeline standard should cover include:
- Frequency of activities
- What to include in these checks
- How to perform these checks
- Proper recording of any deviation found to further improve standards
Inspection and Monitoring
By giving control to the operator without any monitoring by the maintenance department will not yield the desired results. Performing inspections on a routine basis will not only keep the activity in the right direction but it will also enhance operator confidence.
As the operator performs basic functions of oiling, cleaning, and visual checks, these activities should not be overlapped by the activities performed by the maintenance department.
Visual Maintenance Management
Visual maintenance management refers to the method of representing the function of a component by visual methods, such as marks or signs. This helps with identifying and understanding proper functioning which is sometimes overlooked due to the hustle of work activities.
For example, different pipes can be colored differently for steam, pneumatic, and water. Similarly, the direction of rotary movements can be indicated by the direction of arrows and open and closed states of the actuators can also be identified.
As the name implies, this refers to establishing ways of continuously improving the system by working collaboratively with all the stakeholders including operators, maintenance personals, and upper management.
In this step, any shortcoming that has been identified by any stakeholder is evaluated. Any change in the system or any process is carried out at this stage and further evaluation is scheduled for further improvement.
Why Use Autonomous Maintenance in Industrial Manufacturing?
Every implemented change has its advantages and the same is the case with the different maintenance strategies. While increasing productivity and reducing breakdown time is the core requirement, autonomous maintenance comes with some unique advantages that ultimately lead to increase overall efficiency.
First, it reduces the burden on the maintenance staff, allowing them the ability to perform other critical and important functions. Involving machine operators in basic machine maintenance saves the energy and resources of maintenance personals, so they can concentrate on other higher level tasks of machine operation or issues.
Second, it guarantees satisfactory cleanliness and lubrication. Sometimes smaller, more basic functions are left behind due to large maintenance repairs of a machine. Autonomous maintenance ensures that these basic tasks are regularly done and implemented.
Finally, it provides enhanced operator efficiency and engagement. By giving necessary training, the skills of the operator are enhanced. This increases the efficiency and confidence of the operator, increasing machine performance. Moreover, this culture increases the sense of responsibility in the operator, because they don’t always have to wait for the maintenance staff in the case of a machine breakdown.