Coursera – Operations Research (1): Models and Applications 2023-11

Operations Research (1): Models and Applications, Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers. This lecture gives students an overview of what they may expect from this course, including the fundamental concept and brief history of Operations Research. We will also talk about how mathematical programming can be used to solve real-world business problem. Linear programming (LP) is one of the most important method to achieve the outcome of optimization problems. We can use LP models for various decisions, including production, inventory, personnel scheduling, etc. In many practical areas, some of the optimization problems occur with integrality constraints imposed on some of the variables. Facility location, machine scheduling, and vehicle routing are some examples. Integer Programming (IP) provides a mathematical way to solve these problems.

What you’ll learn

• Formulate different types of mathematical models to tackle optimization problems with business applications.
• Technically, the concepts and applications of Linear Programming, Integer Programming, and Nonlinear Programming will be delivered.
• Solve an optimization problem with one of the most accessible software: Microsoft Excel.

Who this course is for

Specificatoin of Operations Research (1): Models and Applications

• Publisher : Coursera
• Teacher : Ling-Chieh Kung
• Language : English
• Level : Beginner
• Number of Course : 6
• Duration : 11 hours to complete the course

Content of Operations Research (1): Models and Applications

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