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A Holistic Model for Ergonomic and Sustainable Personnel Scheduling in Urban Transportation

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Publicado en:Processes vol. 13, no. 3 (2025), p. 814
Autor Principal: Emir Hüseyin Özder
Publicado:
MDPI AG
Materias:
United Nations > UN
Integer programming
Sustainability
Optimization
Productivity
Absenteeism
Multiple objective analysis
Objectives
Workloads
Environmental impact
Efficiency
Mathematical programming
Scheduling
Decision support systems
Musculoskeletal diseases
Personnel
Sustainable development
Job satisfaction
Ergonomics
Employees
Genetic algorithms
Job rotation
Workforce
Transportation systems
Well being
Real time
Goal programming
Urban transportation
Acceso en liña:Citation/Abstract
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Resumo:Personnel scheduling plays a pivotal role in numerous industries, impacting productivity, job satisfaction, and employee welfare. However, conventional scheduling approaches often neglect ergonomic and sustainability considerations, overlooking their influence on workforce health and environmental impact. This study presents a novel goal programming framework for optimizing personnel scheduling in urban transportation systems, integrating ergonomic risk assessments (REBA method) and sustainability metrics (aligned with SDGs). This model is validated through a case study of an urban transportation company with 140 employees working in a three-shift system. The results demonstrate a 44% reduction in high-risk task assignments, a 45.1% improvement in sustainability balance, and a 37.7% increase in employee satisfaction. This study offers theoretical contributions by expanding scheduling research to include multi-objective workforce optimization and practical implications by providing a decision-support tool for transportation agencies and workforce managers. Future research can explore real-time scheduling adaptations and AI-based predictive workforce planning.
ISSN:2227-9717
DOI:10.3390/pr13030814
Fonte:Materials Science Database