Most maintenance departments profess to be convinced of the need for maintenance planning and scheduling and condition based maintenance.
However, the benefit of using them together seems to be shrouded in mystery.
Let’s open the hood and look at how they work together to produce results far exceeding that of the sum of the benefits of each used alone.
Let’s start by briefly examining each of the concepts in turn:
Maintenance Planning and Scheduling
In a nutshell, maintenance planning and scheduling prioritizes and organizes work so it can be executed in a highly efficient fashion.
Managers and hourly employees alike in stores, accounting, purchasing, engineering and production must buy in to the concept and do their part for it to work.
Some of the major outcomes of planning and scheduling are:
- An organized approach to analyzing and executing any work identified
- Detailed plans, rules and records for the evaluation and execution of work
- Effective utilization of planners, supervisors and craftspeople.
These outcomes should yield these benefits:
- Cost savings due to efficient use of maintenance labor hours.
- Increased production yield from faster execution of all jobs.
- Reduced injuries and less stress from a better work flow.
As we can see, it’s all about efficiency and organization!
When maintenance planning and scheduling is implemented alone, craftspeople often continue to be frustrated with emergencies caused by “surprise” breakdowns, forcing them to bypass the planning and scheduling procedures they labored to hard and long to deploy.
Next, let’s look at condition based maintenance.
Condition Based Maintenance
Condition based maintenance or predictive maintenance as it’s often called, can be defined different ways. However, it is important to note that it goes far beyond vibration analysis.
The outcome of condition based maintenance is:
- Finding future failures before they manifest themselves as a breakdown of equipment or a component. A breakdown is defined as the loss of the function a components was designed to accomplish e.g., when a pump stops pumping.
As we can see, the outcome is pure information; knowing that an item will break in the future.
Condition based maintenance does not prevent any failures, but it allows you to:
- Gather information about the equipment and parts affected by the future breakdown.
- Plan and schedule the repair.
- Eliminate the cost of consequential damage caused by a functional failure. When you repair it before a breakdown develops, you typically save 50-90%. (compare Figures 2 & 3)
The degree of savings above depends on how early you catch it, if can be repaired online, and the cost of repairs.
Compare finding an impending breakdown on a standard motor you have in stock, attached to a production line scheduled for maintenance next Wednesday at 8AM-4pm, to the scenario where a non-stock motor failed at night and forced a shutdown of the line for repair.
The second scenario will cost much more than the first as people scramble to find what’s wrong, call in several trades and perhaps stores. Add overtime, production losses, and contacting supplier(s) to find replacements and a familiar picture emerges.
Implementation of predictive maintenance alone, frequently results in many items being flagged for repair. However, only some of them are actually being repaired as maintenance does not have the efficient work practices (read planning and scheduling).
Of course, this demoralizes operators and craftspeople as most items they find using predictive maintenance still break down instead of being repaired when discovered.
Let them Work Together
On the other hand, when predictive maintenance and planning and scheduling are used together, they produce synergies like:
- reduced cost of spares and material
- increased labor productivity (primarily in maintenance but also for operators)
- better job satisfaction
- increased production yield
- effective work practices
- improved production quality
By now you can clearly see that two plus two can equal eight when you use planning and scheduling and predictive maintenance together.
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