Production Scheduling and Planning in Manufacturing Systems

Dear Colleagues,

This Special Issue showcases the latest research in the field of production scheduling and planning in manufacturing systems.

The focus is on two important practice-relevant aspects that are the subject of intense research: the consideration of limited capacities and the handling of uncertainty. Planning models and procedures should be addressed. Traditionally, heuristics and optimization models are used. The possibilities of extending these to include artificial intelligence methods should form a focal point.

The papers may frame operational production planning and control as the backbone of production process planning in commercially available IT systems. These approaches are welcome to be implemented in industrial practice.

The following topics serve as examples, but are by no means exhaustive.

• Modelling and consideration of uncertainty through forecasting, inventory strategies, safety stocks, scenario technology, and stochastic optimization.
• Planning improvement through resource-constrained project scheduling.
• Lot sizing under capacity restrictions.
• Scheduling.
• Clearing functions for capacity estimation.
• Simulation and optimization.
• Heuristic solution methods.
• Methods of artificial intelligence:
  • Symbolic and neural artificial intelligence.
  • Simulation methods and phenomenological methods.
  • Mathematically based approaches from statistics, mathematical programming, and approximation theory.

Prof. Dr. Frank Herrmann
Guest Editor

Manuscript Submission Information

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