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Industrial Optimization: Models & Linear Programming
Learn industrial operations optimization using linear programming. Master simplex methods and LINGO software for solving complex problems.
Course Cost
₹ 2,699
Intermediate
Skill Level
10 Hours
Self-paced Video lessons
This course introduces the theory, computation, and application of deterministic models for industrial operations. It covers linear programming formulation and solution using spreadsheet and algebraic languages software. Students will learn about simplex, big-M, revised simplex, and dual simplex algorithms for solving linear programs. The course also provides an introduction to the theory of simplex. Through four comprehensive modules, learners will explore operations research, LINGO software, and advanced simplex methods, gaining practical skills in solving complex industrial optimization problems.
English
English
What you'll learn
Understand the principles of operations research and linear programming
Formulate and solve linear programming problems using software tools
Master the simplex method and its variations for solving complex problems
Apply optimization techniques to real-world industrial scenarios
Use LINGO software for modeling and solving linear programs
Analyze post-optimality scenarios in linear programming
Adapt standard linear programming models to non-standard forms
Develop skills to optimize industrial operations across various sectors
Skills you'll gain
This course includes:
1 Hours PreRecorded video
16 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course offers a comprehensive introduction to industrial optimization using linear programming models. Students will learn the fundamentals of operations research and its applications in various industries. The curriculum covers linear programming formulation, solution methods using software tools like LINGO, and advanced topics such as the simplex method and its variations. Participants will gain hands-on experience in solving complex industrial problems, learning to optimize operations across multiple dimensions. The course emphasizes both theoretical understanding and practical application, preparing students to tackle real-world optimization challenges in industrial settings.
Introduction to Operations Research and Linear Programming
Module 1 · 3 Hours to complete
Generalized LP Model and LINGO Software
Module 2 · 3 Hours to complete
Introduction to Simplex
Module 3 · 2 Hours to complete
Simplex Continued—Breaking Ties and Dealing with Non-Standard Forms
Module 4 · 2 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Courses
Himlona Palikhe is an instructor at Northeastern University, specializing in industrial optimization. She teaches the course "Industrial Optimization: Models & Linear Programming" on Coursera, where she focuses on applying mathematical and computational techniques to optimize complex industrial processes. Her expertise lies in developing models that enhance decision-making and efficiency in various engineering applications.
Frequently asked Questions
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