Distributed No-Wait Flow Shop With Fuzzy Environment

Abstract

In the no-wait flow shop scheduling problem, n-job should be proceeded on m-machine with the same order and do not permit the jobs to wait during the scheduling periods. Also, at the distributed no-wait flow shop scheduling problem, there are multi-factory for processing n-job with m-machine for no-wait constraint. In this study, distributed no-wit flow shop scheduling with the fuzzy due date is considered. The due date of the jobs is defined with fuzzy numbers. A parallel kangaroo algorithm is proposed to solve the distributed no-wait flow shop scheduling problem with the fuzzy due date. The proposed algorithm is tested from the literature by the benchmark problems. The results show that the proposed parallel kangaroo algorithm is efficient for distributed no-wit flow shop scheduling problems with fuzzy due date problems. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.