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An application of knowledge-based systems in the field of business decisionmaking is presented. The expert's reasoning processes and problem-solving techniques in the operations analysis domain are the primary focus, and OASES, an operations analysis expert system, is designed to play the role of an intelligent assistant and to aid management in diagnosing problems in production processes, such as automobile assembly or textile manufacturing. The system combines forward and backward inferencing mechanisms to interact with users in a mixed initiative format. The knowledge base is designed as a partitioned rule base, and the inference engine uses the Dempster-Shafer scheme for inexact reasoning.