Link.
A couple of highlights:
A couple of highlights:
The Engineering department did not consistently employ best practices in managing projects. Three of the five projects we reviewed encountered overruns and delays that forced the company to reprogram funds between programs and departments, and to delay or forgo other projects. For example, a cost estimate did not accurately forecast project costs; personnel did not ensure that schedules were developed to accomplish a projects objectives; and the oversight of replacement projects was informal and inconsistent.
The Mechanical departments project management practices for equipment overhauls have similar weaknesses in cost estimating, scheduling, and project oversight. Data on the hours expended on overhauls from FY 2009 through FY 2012 shows that the departments project management practices have not improved the efficiency of overhauls: an overhaul completed during FY 2012 required up to 28 percent more average labor hours to complete than an overhaul completed in FY 2009.
Of the departments 404 projects, funded from a Federal Railroad Administration grant, 172 were over budget (43 percent) in FY 2012. These overages led to reprogramming funds from other projects. In FY 2012, the department reprogrammed about
$56.4 million (15 percent) of its $365 million annual grant budget. When considering all funding sources, the department reprogrammed $76.3 million and received an additional $32.4 million from other departments to cover its activities.
Organizations similar to Amtrak that we used as a benchmark reprogram an average of about 3 percent of their capital budgets. When developing capital budgets, these organizations grouped similar projects together as one line item in the budget and allowed the individual departments to manage each line item as a program. The Engineering department budgets and manages at the project level. In FY 2014, Amtrak proposed to budget and manage at the program level.
For example, the number of hours required to complete the same type of overhaul on 237 of the same model of equipment (Amfleet 1 Coach) had increased by 37 percent from FY 2009 through FY 2012. The increases in actual hours expended on this type of overhaul for this model of equipment outpaced the increases to the hours budgeted. As shown in Figure 3, the hours expended to complete each Amfleet 1 Coach Level 1 overhaul fluctuated significantly during the period reviewed. During this time, the average labor hours to complete these overhauls increased by 37 percent; the labor hours expended on these overhauls varied from 34 percent less than to 95 percent more than the estimate. All 44 overhauls completed in FY 2012 required more than the estimated hours to complete.
The departments data on equipment overhauls showed great variability when compared to the departments estimates. For example, in FY 2012, the department estimated that it would take 1,950 hours to overhaul a Superliner 2 Transition Sleeper Dormitory Level 2. However, of the 10 overhauls completed, 2 were under budget, and 8 were over budgetranging in total hours from 1,846 hours up to 2,746 hours. Because of these variations, we question the usefulness of historical data in developing overhaul cost estimates.
Mechanical department project schedules did not define when and how long tasks will occur, which limited the ability of project managers to measure progress or promote accountability. When performing overhauls, the three back shops use Maintenance Analysis Program books to track the progress of each overhaul;17 however, these books do not identify the amount of time it takes to complete specific tasks. Best practices show that an attribute of successful projects is a reliable schedule that defines when and how long work will occur and how each activity relates to the others.