Just because your company has a CMMS/EAM system doesn't mean you're using it properly. In fact, if you're misusing any of the system modules, the information you're generating may not be accurate.

Data. . . information. . . facts. . . Whatever the term, "knowledge" is required to for good decision-making. The goal of a computerized maintenance management system (CMMS) or enterprise asset management system (EAM) is to produce quality data that helps a company make accurate decisions.

Even as a company starts to implement CMMS/EAM, data collectio is beginning. Consider the various modules used in a comprehensive CMMS/EAM system:

• Equipment
• Inventory
• Purchasing
• Personnel
• Preventive maintenance
• Work-order (planning & scheduling)
• Reporting

Equipment module
To use this module properly, each piece of equipment—or facility location—that requires tracking of costs and repairs must be identified. For example, the financial information will need to be stored in the equipment history when making repair/replacement and other life cycle cost decisions.

Data provided by the other modules will be accumulated in the equipement module to provide accurate financial information.

Inventory module
Proper utilization of this module will require identifying the spare parts carried in each storeroom at the plant or facility. The necessary data includes, but is not limited to:

• Part number
• Part description (short & extended)
• On-hand, reserved, on-order, etc.
• Locations
• Part-costing information
• Historical use

Information from the inventory module ensures the CMMS/EAMwill contain accurate material-costing information for each piece of equipment or facility location.

Purchasing module
This module is associated with the inventory module. It gives maintenance personnel a window into the ordering information.

The purchasing module must include the following information:

• Part number
• Part description
• Part-costing information
• Delivery information, including date
• Related vendor information
• Ability to order non-stock materials

The importance of the purchasing module becomes clear when planning a job and the delivery date for the required part is not

Personnel module
This module allows a company to track specific information about each employee. Some of the required data includes:

• Employee number
• Name and personal information
• Pay rate
• Job skills
• Training history
• Safety history

Information from the personnel module ensures that a facility will post accurate labor costs to work orders and equipment history.

Preventive maintenance module
The preventive maintenance (PM) module allows the tracking of all PM-specific costs. The costing information comes from the personnel and inventory databases. Some important data stored in this module includes:

• PM type (lubrication, testing, etc)
• Frequency required
• Est. labor cost (via personnel module)
• Est. parts cost (via inventory module)
• Detailed task description

The collection of this data ensures accurate service information and costing each time a technician performs a PM task. A CMMS/EAM also can project labor at material resource requirements for calendar-based PM tasks.

Work-order module
With this module, a user can initiate different types of work orders and track the work through completion. This module also requires the tracking of the costing and repair information to the correct piece of equipment or facility location. Using the work-order module requires information from all other modules of the system. Some the information required includes:

• Identifying the equipment or facility location where the work is being performed
• Identifying the labor requirements (personnel)
• Identifying the parts requirements (inventory)
• The priority of the work
• The date the work must be finished
• Contractor information
• Detailed instructions

To be effective, the work-order module requires information from all other modules. Without accurate information, this module cannot collect the required data. Furthermore, without accurate and complete data, it cannot post accurate information to the equipment history. Finally, without accurate data in the equipment history, maintenance/reliability personnel can't make timely and cost effective decisions.

Importance of data collection
Just how important is data collection and analysis to a company? You can break it down into these management principles:

• To manage, you must have controls.
• To have control, you must have measurement.
• To have measurement, you must have reporting.
• To have reporting, you must collect data. The success of a CMMS/EAM system depends on the timeline and accuracy of collected data and the use of that data by the managers. If information is inaccurate and used incorrectly, the CMMS/EAM is considered to be a failure.

   

  The reporting relationship
  How effective is the overall utilization of any currently implemented CMMS/EAM systems? A recent survey showed that most companies scored just above 50% of the total possible score in that category. The figure reflects the comparison between a database of 200 companies (labeled University) and 800 companies (labeled RW).

  If Fig. 1 were reexamined, what modules in the diagram could be used and what ones could be eliminated? If only half of the information required by the CMMS/EAM system were utilized, what types of analysis could be performed? For example, if only work orders over a certain cost or duration were recorded in the CMMS/EAM, could accurate decisions be based on the equipment history information?

  Even before a facility implements a CMMS/EAM, the information it collects still will have some value. But, until the system is fully utilized, the data will not be accurate.

  For example, if only certain departments are on a CMMS/ EAM system (a typical pilot implementation problem), the data from these departments mayactually be quite accurate. However, in areas where a crossover or combination with another area or craft exists, the data may be incomplete or distorted.

  As highlighted earlier, a CMMS/EAM system should provide a completely integrated data collection system. Yet, even many mature users are not obtaining complete—and, thus, accurate—data from their CMMS/EAM systems. The previously mentioned benchmarking study pointed to the fact that just over 50% of the functionality was being utilized. Again, how can accurate and timely decisions be made with such incomplete data?

  When companies use corporate systems, the data might not be posted accurately in the equipment history. In fact, in most cases, the data is inaccurate or not posted at all. Consequently, the equipment history is incomplete or inaccurate.

  To put this into perspective, consider the following example:

  When you take your car in for repairs, the service manager gives you an estimate...(Read whole article)