New Advances and Applications Operational Research and Scheduling Theory
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 137
Special Issue Editor
Special Issue Information
Dear Colleagues,
Operational research and scheduling theory have seen remarkable progress, tackling increasingly complex challenges across various industries. This Special Issue aims to present the latest advancements in methodologies, models, and applications that enhance decision making and efficiency in scheduling, resource allocation, and optimization. Topics of interest include machine scheduling, vehicle routing, supply chain optimization, workforce planning and scheduling, stochastic models, heuristics, and metaheuristics. Special emphasis will be placed on the integration of artificial intelligence, machine learning, and hybrid approaches in solving scheduling and optimization problems. We welcome theoretical studies, novel algorithms, and case studies that demonstrate real-world applications. By bringing together state-of-the-art research, this Special Issue aims to enhance collaboration between academia and industry, fostering joint efforts to tackle modern scheduling and optimization challenges and devise impactful solutions.
Dr. Felipe F. Baesler
Guest Editor
Manuscript Submission Information
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Keywords
- operational research
- scheduling theory
- resource allocation
- machine scheduling
- workforce planning
- vehicle routing
- supply chain optimization
- heuristics and metaheuristics
- artificial intelligence in scheduling
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