The problem of selecting a data processing system and determining the set of applications to be performed by the chosen system is one which confronts more as well as smaller firms every year. The use of management science techniques in making these crucial decisions has been very limited. Some firms which can afford the relatively high cost of doing so have implemented simulation packages {10, 25} or written a custom simulation model to assist in the selection or modification of hardware and software systems. Occasionally, simulation is used to evaluate alternative data management schemes after the equipment has been chosen. In all such situations the application mix is taken as given. The firm which cannot or will not undertake such a heavy commitment of funds is left with traditional system evaluation aids such as benchmarks or subjective assessments. These methods are unrigourous and imprecise and, again, the application set is assumed fixed.
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