Industrial Engineering - Operations Research

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J Aatish Rao

Mechanical Engineering Professional

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160 Min

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This course format through pre-recorded video. You can buy and watch it to learn at any time.

₹ 449

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Why do you enroll

Unlock the power of data-driven decision-making with our "Industrial Engineering - Operations Research" course! This dynamic program delves into the essential techniques of operations research, including optimization, simulation, and decision analysis. You'll learn how to apply mathematical models to solve complex industrial problems, improve efficiency, and enhance productivity. With expert-led instruction and real-world case studies, you'll develop the analytical skills needed to make impactful decisions in any organization. Join us and elevate your career in industrial engineering—enroll today to start your journey toward becoming an operations research expert!.

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Key topics covered

- Linear Programming Problem LPP - Graphical method, Slope method, Simplex method.
- Assignment Problem - Hungarian method or Flood technique.
- Queuing Theory - Mathematical study of queues, Kendall Notation.
- Transportation Problem - North-West Corner rule or DENTZY's method, Vogel's approximation method (VAM).
- Sequencing - Shortest Processing Time (SPT) Rule, Earliest Due Date (EDD), n jobs in 2 machines.
- Network Analysis - Critical Path Method (CPM), Program Evaluation Review Technique (PERT).

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Course Details

Being one of the most most prominent subject in mechanical/manufacturing/industrial engineering curriculum, This subject has very much weightage in every aspect. Be it for academic proficiency, acing competitive exams or cracking that tough interview, OR (Operations Research) plays a very significant role.

In professional front, The field of operations research provides a more powerful approach to decision making than ordinary software and data analytics tools. Employing operations research, professionals can help companies achieve more complete datasets, consider all available options, predict all possible outcomes and estimate risk. . Additionally, operations research can be tailored to specific business processes or use cases to determine which techniques are most appropriate to solve the problem.

----- The ultimate aim of all the tools & practices involved in OR is to "Optimize" ------

In this course we are going to get the knowledge of various tools & practices of operations research with an ultimate aim to optimize problems & increase productivity. The course is divided into several sections, Linear Programming Problems, Transportation problems, Assignment problems, Sequencing, queuing theory & lastly PERT & CPM:

Linear Programming Problems (LPP) - In LPP, we will understand how to optimize a problem by using various methods like graphical method, slope method & simplex method. We will also understand about binding constraints & certain special cases.

Transportation & Assignment problems - In transportation, we will understand about popular methods like N-W corner rule & Vogel’s approximation method to optimize a transportation related problem. Whereas for assignment problems, we will look into Hungarian method.

Sequencing - In sequencing we will learn about n jobs in 1 machine via – Shortest Processing Time rule or SPT & Earliest due date rule or EDD. And n jobs in 2 machines.

Queuing theory - In queuing theory, we will get to know about the mathematical study of queues, Kendall notation, various queuing terminologies like arrival rate, service rate, calling population & many more.

Network analysis - We will do network analysis via PERT & CPM which comes very handy for project planning & execution.

The bottom-line of this course is to teach you the academic aspects of operations research keeping in mind the practical application to a greater extent. By taking this course, you are not only increasing your knowledge in academic front but also gaining insights about optimization at industry level.

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Industry domains :

Manufacturing

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Engineering Disciplines :

Mechanical , Production , Inspection

Course content

1

Introduction :

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2

What are optimization problems :

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3

Mathematical formulation of LPP :

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