A Novel Approach for Minimizing Processing Times of Three-Stage Flow Shop Scheduling Problems under Fuzziness

The purpose of this research is to investigate a novel three-stage flow shop scheduling problem with an ambiguous processing time. uncertain information characterized by Pentagonal fuzzy numbers. To solve the problem, in paper, two different strategies are proposed; one relies on idea ranking function, and other close interval approximation pentagonal number. For persons that need be more specific their requirements, number judged best appropriate interval. Regarding rental cost specification, these methods used reduce for concerned devices. In addition, comparison our suggested approach’s computed total time, machine cost, idle time existing approach introduced. A numerical example shown clarify benefits help readers understand it better.