With the emergence of the new manufacturing revolution, often called Industry 4.0, new manufacturing organizations/configurations, enhanced with innovative technologies such as advanced robotics, Internet of Things (IoT), data analytics … are being used. Thus, companies and factories, faced with increasing competitiveness, are working on the development of new algorithms and methods to cope with the increasing practice of autonomous machines and the demand load and environmental constraints. Moreover, they consistently deal with a dynamic and agile environment, characterized by a considerable amount of data, a changing manufacturing process and uncertain inputs.
In the way to investigate issues and solutions with regards to the previous report, this issue is devoted to the novel intelligent metaheuristics tackling the next generation manufacturing problems such as: online scheduling, simulation-optimization framework, data-driven optimization, etc. We aim that this issue gathers researchers and practitioners working on promising research directions and recent advances in these topics. The scope of the session includes, but is not limited to the following topics:
- New methods for online scheduling problems
- Intelligent manufacturing systems
- Coupling Simulation and metaheuristics for advanced manufacturing systems
- Self-optimization heuristics of distributed manufacturing system
- Advanced metaheuristic and evolutionary algorithms for green manufacturing
- Efficient energy optimization in manufacturing and planning