A decision support systems approach to adjust maintenance float system availability levels

In this paper, a decision support system (DSS) is designed to predict the system availability levels for equipment maintenance float problems. The DSS is developed by using the analytic hierarchy process (AHP) to prioritize the improvements made in the maintenance management practice through the adoption of total quality management (TQM). The resulting regression metamodel can be used to predict and explain system availability. Sensitivity analysis can be easily generated through the DSS. The application of this DSS helps to effectively control the cost of maintenance floats as a result of TQM implementation, generates quick solutions, and provides the decision maker with the flexibility of carrying out sensitivity analysis and planning for the future by looking at the long-term impacts of TQM on the maintenance float system.