Quantifying the Cumulative Impact of Change Orders for Electrical and Mechanical Contractors
Publication No
RS158-1
Type
Research & Development Product
Publication Date
Oct 01, 2000
Pages
36
Research Team
RT-158
DOCUMENT DETAILS
Abstract
Key Findings
Filters & Tags
Abstract
Key Findings
Factors influencing the probability that changes led to labor inefficiency included Percent Change, Estimated and Actual Peak Manpower, Processing Time, Overmanning, and Overtime. These factors can be appied to an equation to determine the confidence that changes impacted labor inefficiency. (RS158-1, pp. 10-11)
RT-158 identified six variables that can be used to quantify labor inefficiency (RS158-1, pp. 15-16):
- Percent Change
- % PM Time on Project
- % of Changes Initiated by the Owner
- Productivity Tracking
- Overmanning
- Processing Time
- The most common reasons for change orders are Additions, Design Changes, and Design Errors. Therefore you should do more up-front engineering.
- Reduce change order processing time to decrease the likelihood of impact.
- Require contractors to submit a manpower loading curve with proposal.
- Integrate any changes into the work flow as efficiently as possible.
- Use project software to track productivity:
- % complete by earned value
- % complete by actual earned work-hours
- % complete by actual installed quantities
- Resource loading relationships (ratios):
- Actual peak over actual average manpower
- Estimated peak over actual peak manpower
- Actual manpower loading curve versus estimated manpower loading curve
Filters & Tags
Knowledge Area
Best Practice
Project Phase
Project Function
Industry Group
Research Topic
Cumulative Change Order Impacts
Keywords
Change Order,
Productivity,
Change Management,
Change,
rt158
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