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The domain of spare parts forecasting is examined, and is found to presentunique uncertainty based problems in the architectural design of aknowledge-based system. A mixture of different uncertainty paradigms isrequired for the solution, with an intriguing combinatoric problem arising froman uncertain choice of inference engines. Thus, uncertainty in the system ismanifested in two different meta-levels. The different uncertainty paradigmsand meta-levels must be integrated into a functioning whole. FRED is an exampleof a difficult real-world domain to which no existing uncertainty approach iscompletely appropriate. This paper discusses the architecture of FRED,highlighting: the points of uncertainty and other interesting features of thedomain, the specific implications of those features on the system design(including the combinatoric explosions), their current implementation & futureplans,and other problems and issues with the architecture.

An Interesting Uncertainty-Based Combinatoric Problem in Spare Parts Forecasting: The FRED System