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This paper presents a systematic approach to evaluation of the availability of an automated underground coal mining system, the longwall system. Five analytical models are developed by applying the techniques of reliability modeling and stochastic systems analysis. Each model is formulated to evaluate the availability of a longwall system with unique longwall operating logic. The application of these models is illustrated with a case study and the uses of the results are discussed.

To develop quality systems, both engineering and management require fundamental principles and methodologies to guide design decision making and advanced planning. This paper presents a systematic approach to support the need for developing better system designs in the face of uncertainties. This approach is developed by integrating statistical decision theov, elements of the systems engineering process, and Taguchi's philosophy of robust design. The result is a structured, systematic methodology for evaluating system design alternatives.

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