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.
Operations Research (1): Models and Applications
Operations Research (1): Models and Applications
Instructor: 孔令傑 (Ling-Chieh Kung)
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4.8
(503 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
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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.
Skills you'll gain
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Assessments
6 assignments
Taught in English
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There are 6 modules in this course
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.
What's included
6 videos1 reading1 assignment
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.
What's included
15 videos1 assignment
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's included
15 videos1 assignment
In the real life, many problems involve nonlinearities. Examples include pricing, inventory, and portfolio optimization. For such problems, we may use Nonlinear Programming (NLP) to formulate them into models and solve them.
What's included
15 videos1 assignment
In this lecture, we introduce a real business case that has been solved with Operations Research by the instructor. The problem is for a company to schedule its customer service representatives to minimize the total amount of staff shortage. We will demonstrate the problem, process of conducting an OR study, integer programming formulation, and result.
What's included
9 videos1 assignment
In the final lecture of this course, we will summarize what we have learned. We will also preview what we may learn in future courses.
What's included
3 videos1 assignment
Instructor
Instructor ratings
4.8 (187 ratings)Offered by
Recommended if you're interested in Algorithms
Northwestern University
Fundação Instituto de Administração
West Virginia University
West Virginia University
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4.8
503 reviews
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Showing 3 of 503
SR
4
Reviewed on Dec 5, 2022
Good Course.
RK
5
Reviewed on Dec 26, 2021
This is certainly one of the best introductory course on Operations Research with Computer Applications.
NT
5
Reviewed on Dec 29, 2022
I enjoyed the way how the teacher explained the basic concepts of this course so softly and understandably. I recommend it to anyone who wants to have complete insight into operations research.
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