Emerging Algorithms for Production Planning and Control in Industry 5.0: Integrating Human Expertise and Automation
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 37
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue addresses the critical need for innovative algorithmic solutions tailored to production planning and control within advanced manufacturing environments, specifically aligned with Industry 5.0 principles. Industry 5.0 integrates sophisticated automation and machinery with human-centric processes, generating new complexities that traditional algorithms struggle to manage efficiently. Consequently, this collection highlights emerging algorithms that are expressly developed to optimize the interactions between automated systems and human labor. These innovations are designed to boost productivity, adaptability, and resilience in dynamic manufacturing environments.
Contributions explore novel algorithmic frameworks that enable effective scheduling, resource allocation, real-time process adjustments, and predictive maintenance. The featured research emphasizes flexibility, human–machine collaboration, sustainability, and responsiveness to changing operational conditions. Advanced computational approaches such as artificial intelligence, machine learning, swarm optimization, and hybrid heuristic methods are prominently showcased, demonstrating their potential in addressing the unique challenges of Industry 5.0.
Each article offers a methodological innovation and practical validation, underscoring how these algorithms facilitate seamless integration of human workers' expertise and automated precision. Real-world case studies included in this issue illustrate the effectiveness of the algorithms across various manufacturing scenarios, from custom production lines to large-scale industrial facilities. By bridging human cognitive abilities with machine efficiency, these algorithms aim to enhance decision-making, reduce operational costs, improve product quality, and increase worker well-being. Overall, this Special Issue aims to provide valuable insights and stimulate further development of the essential algorithms for the successful realization of Industry 5.0 objectives.
Dr. Pierpaolo Caricato
Guest Editor
Manuscript Submission Information
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Keywords
- Industry 5.0
- production planning
- human–machine collaboration
- manufacturing systems
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