Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms

• Published in: Journal of intelligent manufacturing Vol. 28; no. 8; pp. 1973 - 1986
• Main Authors: Chang, Hao-Chin, Liu, Tung-Kuan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2017; Springer Nature B.V
• Subjects: Algorithms; Benchmarks; Business and Management; Chromosomes; Control; Genetic algorithms; Job shop scheduling; Job shops; Machines; Manufacturing; Mechatronics; Optimization; Processes; Production; Production scheduling; Robotics; Scheduling; Taguchi methods; Flexible job-shop scheduling problem; Distributed and flexible job-shop scheduling problem; Encoding; Genetic algorithms; Taguchi method

In contrast to traditional job-shop scheduling problems, various complex constraints must be considered in distributed manufacturing environments; therefore, developing a novel scheduling solution is necessary. This paper proposes a hybrid genetic algorithm (HGA) for solving the distributed and flex...