Optimization with Excel: Operations Research without Coding

🎓 Course Title: Optimization with Excel: Operations Research without Coding

🚀 Headline: Master Operations Research Techniques with Gurobi, CBC, IPOPT in Excel! Linear & Nonlinear Programming, Genetic Algorithms, and More - No Coding Required!

📈 Course Description:

In today's fast-paced business environment, operational planning and long-term strategic decisions are becoming increasingly complex. With information changing rapidly and decision-making challenges mounting, Operations Research (OR) stands out as a critical tool for finding optimal solutions to these intricate problems. Professionals skilled in OR are highly sought after for their ability to analyze data, develop models, and apply advanced algorithms to improve efficiency and profitability.

If you're not well-versed in coding but want to leverage optimization techniques using Excel, this course is tailor-made for you! In this comprehensive course, you'll learn the essentials of solving real-world optimization problems through Excel without writing a single line of code. 🛠️✨

What You'll Learn:

• Linear Programming (LP): The backbone of many optimization problems.
• Mixed-Integer Linear Programming (MILP): Optimize decision variables that are both continuous and discrete.
• NonLinear Programming (NLP): Deal with more complex problems where the objective function or the constraints are nonlinear.
• MINLP: Combines elements of linear and nonlinear programming with mixed-integer variables.
• Genetic Algorithm (GA): Explore advanced optimization techniques that mimic natural selection processes.
• Vehicle Routing Problems with Time Windows (VRPTW): Tackle challenging logistics problems involving routes and delivery windows.

Solvers Explored:

• Gurobi, CBC, IPOPT, Bonmin & Couenne: Learn to use powerful solvers for a wide range of optimization problems.
• CPLEX: Gain access to the NEOS server to utilize its limited CPLEX version.

Resources Provided:

• Workbooks designed to make solving problems with GA and VRPTW effortless.

Course Highlights:

• A thorough introduction to mathematical modeling.
• Step-by-step problem-solving using real-world examples.
• A variety of case studies, from straightforward to complex scenarios involving summations and multiple constraints.

🚫 What This Course Is Not For:

This course is not for solving:

• Complex problems with decompositions and iterations (e.g., Benders decomposition).
• Operational problems that require real-time execution.
• Large problems that necessitate exceptionally fast solutions.
• Multi-objective problems where you need to balance multiple objectives simultaneously.

✍️ Important Notes:

• The course approach DOES NOT use the standard solver in Excel, which means there are no limitations on the number of variables or constraints due to the tools used.
• Detailed instructions for installing the necessary tools will be provided, but please note that the course content has been validated on Windows and Mac systems only.
• The classes are designed with step-by-step examples that take you from business concepts to resolution.

🎫 Certification:

Upon completion of this course, you will receive a certification from Udemy to add to your professional credentials.

Dive into the world of Operations Research with Excel and transform your problem-solving capabilities! Enroll now and unlock the potential of mathematical optimization in your career. 🚀📊

Course Tagline: "Harness the Power of Operations Research - Optimize Your Decisions with Excel, No Coding Required!"