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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.

Learn industrial operations optimization using linear programming. Master simplex methods and LINGO software for solving complex problems.

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.

Instructors:

English

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Industrial Optimization: Models & Linear Programming

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

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

Skills you'll gain

linear programming
operations research
simplex method
LINGO software
industrial optimization
deterministic models
algebraic modeling
optimization algorithms

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.

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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

Payment options

Financial Aid

Instructor

Himlona Palikhe
Himlona Palikhe

180 Students

2 Courses

Industrial Optimization Expert and Instructor at Northeastern University

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.

Industrial Optimization: Models & Linear Programming

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.