An Expert System to Classifying and Scheduling of Service Systems

This paper studies the problem of classify scheduling problems in service systems, its performance measures and solution techniques. First, we contribute to classification of service systems that is a difficult task since the service is described in a confused and ambiguous language. This confusion makes it difficult to analyze, mainly in the making decisions at operative level. We propose a new notation for service systems that consist in three fields: customer, resources, and flow control. From this notation, we propose an integrated three rule-based systems. The first identify the type of scheduling problem according with scheduling, routing, and routing-scheduling. With the results a second system identifies the performance measures. And finally, a third system determines the best solution techniques to solve the problem. We develop a computational tool in Java called SchES (Scheduling with Expert Systems) that implements our approach