Abstract:
Some information required for solving problems in engineering economy problems can be fairly well defined.
Much required information is uncertain, such as the actual cash flows from revenues and costs, the salvage value of
equipment, the interest rate or even the project life. Engineering economy problems with all deterministic inputs
are actually special cases. Probability descriptions of input variables and Monte Carlo sampling together provide a
practical method of finding the distribution of the desired output given the various random and deterministic input
variables. This paper provides three examples that demonstrate how commonly available simulation software
could be used in engineering economy problems. One example is demonstrated that generates the distribution
future worth of an annual series of payments when there is uncertainty about the future earning power (interest
rate) from year to year. Also, an example is demonstrated that models the uncertainty of interest rates and the
uncertainty of project life in order to generate the NPV distribution of a project. Finally, an example is presented to
show the use of simulation in comparing alternative investment opportunities under uncertainty. These examples
can be used to demonstrate how risk is handled in an engineering economy course. The examples can also be used
as additional applications in an industrial simulation course.
q 2003 Elsevier Science Ltd. All rights reserved.