A Mathematical Model of the Multi-objective Flexible Job-Shop Scheduling Considering Human Factors
摘要
The Flexible Job Shop Scheduling Problem (FJSP) is crucial in adapting to varying market demands and production contexts, yet existing approaches tend to prioritize machine efficiency, often sidelining worker needs. This research advocates for a holistic approach to FJSP that concurrently considers machinery and worker allocation, focusing not just on operational efficiency, but also on the physiological and psychological wellness of workers. A mathematical model addressing these facets within a multi-objective FJSP framework is proposed and validated through numerical experiments, providing a balanced and human-centric perspective to scheduling solutions.