Identification of HVAC (Heating, Ventilating, and Air Conditioning) Deficiencies Using Analysis of Job Order Data
Abstract
The objective of this research study was to develop a systematic and objective procedure to identify HVAC deficiencies at Robins AFB, GA. Statistical analysis of HVAC repair data was used to indicate where and when HVAC deficiencies had occurred based on the potential for cost savings. The statistical models which were developed are only applicable to Robins AFB. However, the procedures used to identify HVAC deficiencies could be repeated at any base that maintains historical HVAC repair data. The research also explored the use of the procedures developed as a tool for the HVAC Evaluation Group. The research showed that job order analysis provided a useful means for identifying HVAC deficiencies. Facility square footage and historical job order data were used to predict the expected number of job order hours within specific facility groups. These groups were established based on similarities among facilities in the HVAC job order data. The differences between the expected hours and the actual hours was then used to prioritize HVAC deficiencies based on the potential for reducing job order hours and thus the potential for cost savings. Theses.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1989
- Accession Number
- ADA216108
Entities
People
- Tom M. Ellis
Organizations
- Air Force Institute of Technology