Research on balancing optimization of the final assembly line in an aircraft manufacturing company
Abstract
Abstract Taking an aircraft manufacturing company as the research subject, the primary issues are severe order backlogs and significant imbalances in assembly times across workstations. A target model incorporating assembly line balance rate and smoothing index is constructed. A dual-population genetic algorithm is employed for the solution and implemented using MATLAB software to enhance assembly line balance and thereby improve production efficiency.
Fields of Study & Subjects
Assembly Line Balancing Optimization
Management and Optimization Techniques
Resource-Constrained Project Scheduling
Publication details
- Journal / source
- Journal of Physics Conference Series
- Publisher
- IOP Publishing
- Volume
- 3221
- Issue
- 1
- Pages
- 012065–012065
- Publication date
- 1 April 2026