Flexible job shop fuzzy scheduling method based on immune genetic algorithm

The processing scheduling of assembly line in production workshop is the central part of planning and management in the production process. How to formulate scientific and effective scheduling scheme is of great significance for enterprises to improve their production efficiency and core competitiveness. This paper takes the processing scheduling problem of assembly line in production workshop as the research goal, and adopts literature analysis method, mathematical analysis method and case analysis method. Based on a brief introduction of the processing scheduling of assembly line in production workshop, it constructs a multi-objective fuzzy flexible job shop scheduling model, which combines the immune algorithm (IA) with the genetic algorithm (GA). The two-layer encoding design based on process sequencing and machine selection and the adaptive vaccine extraction operation based on concentration suppression are applied to improve the traditional immune genetic algorithm (IGA). Finally, through a simulation example, this paper verifies that the improved IGA can obtain better optimal solutions and has certain practical application value. © 2018 Editura Politechnica. All Rights Reserved.