12) Refer to the answer for Problem 8 addressing parametric cost estimating. These
relationships may be developed from data derived from similar systems in the past, wherein
costs can be related to the physical and functional parameters of the systems. Each life–
cycle cost profile shown in Figure 17.13 (page 591) is a “signature” of sort for a particular
type of system and may be used to estimate the cost profile for a similar system. Figure 17.9
(page 581) indicates that parametric cost estimating will be applicable mostly during the
early phase of the life cycles (left portions) shown in Figure 17.13, whereas the other
estimating methods will be applicable later on.
13) Refer to Section 16.3.2 (page 549) and Figure 16.3 (page 551). Learning curves can be
applied to estimating costs for any activity which is repetitious in nature; e.g., the
production of a multiple quantity of products where learning takes place as manufacturing
progresses. In general, learning curves are applied to show a savings in time and cost as
multiple quantities of an item are produced. However, there are instances when a multiple
quantity of items are produced and where the cost of the second is higher than the cost of
the first, the cost of the fourth is higher than the cost of the second, etc. In this situation,
there is a failure to achieve the assumed learning curve savings on which manufacturing
costs estimates were originally based. This can occur when there are numerous design
changes initiated during initial production, when there are changes in management structure
and/or lower–level personnel, and/or when there are numerous changes in procedures.
14) In performing a life–cycle cost analysis, it may be appropriate to first develop a profile
(such as shown conceptually in Figure 7.1 on page 177, or in Figure 17.11 on page 588) in
“constant” units; e.g. in current-year dollars for each year in the life cycle (without
including inflation or making other adjustments). As “cause–and–effect” is analyzed from
year to year, it is often easier to proceed if given a known baseline for comparative
purposes. Then, a second profile should be developed in order to show 2014 dollars in 2014,
2015 dollars in 2015, 2016 dollars in the year 2016, and so on. This “inflated” profile will
include inflationary effects, the effects of learning, projected cost growth from year to year,
and so on. This is similar to a normal “cost–to–complete” exercise for a typical project,
except that the objective is to project all life–cycle costs. The third profile is one where all
future costs are related back to the “present time,” or the common point in time when
decisions are being made (i.e., present equivalent, annual equivalent, or future equivalent).
In the evaluation of alternatives, one must compare the profiles for each on an equivalent
basis to incorporate the “time value of money” as developed in Chapter 8 (page 204).
15) An advantage in presenting the costs in a format similar to what is shown in Figure 17.10 on
page 586 is to be able to relate the costs back to a specific function (or block) in the cost
breakdown structure (CBS), and to be able to quickly determine the “high–cost
contributors.” In some cases, particularly when attempting to implement a continuous
product/process improvement initiative for cost reduction purposes, the presentation of
costs in terms of “percent of total” is often more meaningful than worrying about the
specific “bottom–line” value. Simply pick the highest, then the next highest, etc., initiating