The Value of Using Historical Repair Data & Unit Efficiency Data for Better Capital Decisions

As explained by Kevin Brown via Facility Executive, the typical costs of energy-efficient construction can be 6.5-percent higher than traditional construction. However, energy-efficient assets and systems are the new normal, and it may be impossible to use assets in commercial buildings that do not leverage energy-efficiency standards. Unfortunately, any improvement that does not actively save money is likely costing extra to operate. This translates into a higher total cost of ownership and poor capital planning. The application of repair data can change the conversation. Facilities Managers need to understand why.

Facilities Managers Underestimate the Value of Historical Repair Data

Commercial buildings have an average age over 32 years, and K-12 schools are even older. Although companies are starting to realize the potential of repair data for maintenance planning, deferred maintenance still exists, and the average deferred need becomes significantly more expensive over time. In fact, long delays can lead to maintenance costs that are 30-times more than the original repair, says Naomi Millan via FacilitiesNet.

Ways to Use Historical Repair Data to Drive Cost Avoidance

Facility Managers can use historical repair data in myriad ways. Some of the top ways to apply historical repair data to drive cost avoidance include:

  • Historical Repair data makes information transparent throughout an organization.
  • Digital information and analytics allow for continuous “experimentation” to find the best course toward a desired outcome.
  • Data makes connecting with consumers easier.
  • Historical Repair data reduces risks and identifies hidden insights.
  • Leveraging Historical Repair data lends itself to the evolution of facilities management.

How to Use Historical Repair Data for Continuous Improvement in Facilities Management

Simply gathering historical repair data is not enough to understand its insights and take action on them. Facility Managers that want to use historical repair data for continuous improvement should follow a few steps to ensure it provides a realistic return. These steps include:

  1. Retrocommission facility assets with smart sensors and collecting asset-level information. Recommissioning facility assets by collecting asset-level data, such as model, make and serial number, is a crucial step of the information collection process. Facility Managers empowered with repair and maintenance data can develop an evolving asset management playbook, determining when it is best to repair or replace an asset, as well as continuously refining the maintenance schedule.
  2. Know what to expect from optimum energy use. Optimum energy use refers to the levels and function of the facility asset that saves the most energy and provides the most significant result. In other words, optimum energy use leads to improvements and maintenance scheduling and reductions in total cost of ownership. However, Facility Managers need to know what is considered optimum to compare current use against expected results.
  3. Avoid peak energy use. Peak energy use is more expensive than energy use during other hours. This is the result of supply and demand on the energy grid. Facility Managers that use historical repair data can work to ensure that assets function as expected, offloading unnecessary energy demand during peak hours.
  4. Ensure occupants understand how their behaviors impact asset performance. It is impractical to make consumers behave in a certain way to avoid energy use, but Facility Managers can work with the existing team to ensure building users, such as tenants or employees, understand how their actions and behaviors contribute to energy use. Furthermore, small improvements throughout the facility, such as automated lighting and HVAC system controls, can reduce energy consumption costs, which decreases runtime and empowers the team with maintenance data for use.
  5. Develop an adaptive maintenance schedule based on preventive and predictive analytics. Preventive and predictive analytics help Facility Managers make decisions regarding when it is best to repair an asset and what actions are necessary to maximize its value and performance, as well as avoid unnecessary expenses.

Put the Power of Historical Repair Data to Work in Your Facilities Now

The application of historical repair data can help your facility augment existing resources, save money, plan for maintenance and reduce total cost of ownership. Of course, the first step to truly understanding your historical repair data is collecting information and analyzing it.

Eric Crabb

Eric Crabb