Executive Development Programme in Production Scheduling with Simulation Tools

This course is designed for mid-to-senior level production managers and schedulers looking to enhance their strategic decision-making skills in production scheduling. Participants will gain expertise in using advanced simulation tools to model, analyze, and optimize production processes, leading to more efficient operations and better resource allocation.

Attendees will learn to integrate simulation techniques into their workflow, predict outcomes of different scheduling scenarios, and implement data-driven strategies to improve productivity and reduce costs.

1. 1. Introduction to Production Scheduling: Learners will study the basics of production scheduling, including its importance in manufacturing and logistics. They will gain foundational knowledge on scheduling techniques and the impact of scheduling on operational efficiency.
2. 2. Simulation Fundamentals: This module covers the basics of simulation, including simulation types, models, and tools. Learners will learn how to set up and run simple simulations and understand their application in production scheduling.
3. 3. Discrete Event Simulation: Learners will delve into discrete event simulation (DES), understanding its principles and techniques. They will gain hands-on experience in creating DES models to simulate production processes and evaluate different scheduling scenarios.
4. 4. Simulation Tools and Software: This module focuses on various simulation software tools used in production scheduling. Learners will explore different tools, their features, and capabilities, and learn how to effectively use these tools for simulation and analysis.
5. 5. Simulation in Practice: Learners will apply simulation techniques to real-world production scheduling problems. They will conduct simulations, analyze results, and make data-driven decisions to optimize production schedules.
6. 6. Advanced Scheduling Techniques: This module covers advanced scheduling techniques such as constraint programming, mixed-integer programming, and heuristic methods. Learners will gain deeper insights into optimizing production schedules under complex constraints.
7. 7. Simulation for Capacity Planning: Learners will focus on using simulation for capacity planning in production environments. They will learn how to model and analyze capacity requirements and constraints to improve scheduling and resource utilization.
8. 8. Advanced Simulation Tools and Techniques: This module explores advanced simulation tools and techniques, including agent-based modeling and machine learning in simulation. Learners will gain knowledge on the latest advancements and their applications in production scheduling.
9. 9. Simulation-Based Optimization: Learners will study how to use simulation for optimization purposes, including optimization of production schedules and resource allocation. They will learn to design and implement optimization models using simulation techniques.
10. 10. Case Studies and Industry Practices: This module involves analyzing real-world case studies and industry best practices in production scheduling with simulation tools. Learners will gain practical insights into applying simulation for improving production efficiency and effectiveness.