Mastering Optimization Techniques: From Linear Programming to Machine Learning-Enhanced Algorithms

What you'll learn:
Master the use of Python for optimizing supply chains and factory operations.
Build Python models to plan manpower effectively and optimize network flows.
Leverage Python libraries for scheduling, routing, and inventory management simulations.
Solve complex facility location and capacity problems using Python-based algorithms.
Utilize Python for advanced operations research techniques like stochastic processes, game theory, and dynamic programming.
Integrate multi-objective decision-making tools for enhanced operational strategies.
Implement robust optimization and stochastic models to manage uncertainty in operations.

Requirements:
Basic proficiency in Python programming is required.
Familiarity with fundamental concepts in operations management is beneficial but not required.
Basic mathematical skills, including algebra and introductory statistics.

https://www.udemy.com/course/operations-research-optimization-projects-with-python