Operations Research (1): Models and Applications

Operations Research (1): Models and Applications ranks 3rd in the list of best online operations research courses. Operations Research (OR) is a branch of mathematics and engineering that studies optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, and other fields. This course introduces frameworks and concepts related to various types of optimization problems encountered in business. They concentrate on how to turn real-world business problems into mathematical models that computers can solve.

This lecture provides students with an overview of what they can expect from this course, including the basic concept and a brief history of Operations Research. Let's discuss how mathematical programming can be applied to real-world business problems. Linear programming (LP) is one of the most important methods for solving optimization problems. You can use LP models to make decisions about production, inventory, personnel scheduling, and so on.

Some optimization problems in many practical areas have integrality constraints imposed on some of the variables. Some examples include facility location, machine scheduling, and vehicle routing. Integer Programming (IP) is a mathematical method for solving these problems. In this lecture, let's look at a real-world business problem that the instructor solved using Operations Research. The issue is that a company must schedule its customer service representatives in order to minimize the overall amount of staff shortage. They will show the problem, the process of conducting an OR study, the integer programming formulation, and the outcome.

What you will 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.

Information about the course:

• Flexible deadlines: Reset deadlines based on your availability.
• Shareable Certificate: Get a Certificate when you complete
• 100% online: Start now and learn at times that suit you.
• Beginner level: This course is appropriate for beginners with no prior analytics experience.
• Approx. 11 hours to complete
• Subtitles: English

Rating: 4.8

Enroll here: coursera.org/learn/operations-research-modeling