Scheduling Theory and Models in Industrial Management

Dear Colleagues,

Industrial management involves processes related to allocating resources, managing production timelines, and monitoring efficiency across manufacturing operations. For these processes to succeed in practice, scheduling models and algorithms play a pivotal role in optimizing the efficiency and effectiveness of all activities. In recent years, advanced planning and scheduling approaches based on real-time data integration have been used to automate, simulate, and optimize scheduling by dynamically adapting to changes and disruptions. Using constrained-based approaches, symbolic rules are introduced to accommodate machine downtime and workforce availability, paving the way for advanced algorithmic techniques to find practical solutions.

This Special Issue considers all scheduling approaches related to industrial management problems, including theory, models and algorithms.

Topics of interest include, but are not limited to, the following:

• Constraint-based scheduling;
• Dynamic scheduling models;
• Metaheuristics, hybrid, and memetic algorithms;
• Effective communication and monitoring;
• Mathematical programming techniques;
• Novel evaluation approaches and frameworks.

Prof. Dr. Ruben Ruiz-Torrubiano
Guest Editor

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