Performance Measure of 2 - Stage Fuzzy Scheduling With Single Trasport Agent Using Robust Ranking Technique

Scheduling problems are concerned in searching an optimal or near optimal sequence in which a number of tasks can be performed subject to the number of constraints. In most of these problems, the performance measures are a function of the order or sequence of jobs. Though a number of heuristic techniques have been developed to solve the scheduling problems, yet many of these are often not practical in dynamic real world scenario due to complex constraints & unexpected disruptions.

This paper put forward an algorithm to find the performance measure for fuzzy scheduling in which the transport agent returns on first machine after delivering the task on second machine. The processing time has been considered with triangular fuzzy parameters. The basic idea is to convert the fuzzy processing time in the crisp value by applying Robust Ranking technique. Robust ranking index is easier to apply and helpful tool in fuzzy decision making environment. The algorithm is based on a theorem which has been verified. Numerical illustration is also given to justify the study.