6.3 Suspended Ceiling Design Process - Bilkent University

epresent the probability of having to loop back (i.e. iteration) to
earlier activities after a downstream activity was performed.
Partitioning algorithms can be devised to order the tasks in this
DSM such that the probability of iteration or the project duration
is minimized (Smith and Eppinger, 1993).
7. Impact strength: This can be visualized as the fraction of the
original work that has to be repeated if an iteration occurs
Browning (1998). This measure is usually utilized in conjunction
with the probability of repetition measure, above, to simulate the
effect of iterations on project duration.
Browning (1998) has demonstrated that a DSM-based model of a
process could be used to quantify a process configuration’s expected
cost and duration via simulation. It is assumed that cost and duration
are largely a function of the number of iterations required in the process
execution and the scope or impact of those iterations. Since iterations
may or may not occur depending on a variety of variables, this model
treats iterations stochastically, with a probability of occurrence
depending on the particular package of information initiating rework.
Thus, this approach requires a DSM model and some additional data
such as cost and duration estimates, learning curve, probability of a
typical change in the data causing rework, and the impact of that rework
if it occurs.
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