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Industrial Engineering - Operations Research

Industrial Engineering - Operations Research banner
Preview this course
Self-paced Beginner

Industrial Engineering - Operations Research

4(4)
1330 views
₹ 449
146 min
Anytime
English
J Aatish Rao
J Aatish RaoMechanical Engineering Professional
  • 7-day money-back guarantee
  • Lifetime access
  • Certificate of completion
Volume pricing for groups of 5+

Why 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!.

Is this course for you?

You should take this if

  • You work in Manufacturing
  • You're a Mechanical Engineering / Production Engineering professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Mechanical Engineering
  • You need live interaction with an instructor

Course details

The Industrial Engineering - Operations Research course introduces students to systematic methods for making optimal decisions in complex industrial and business problems. It covers optimization problems, teaching how to mathematically formulate and solve Linear Programming Problems (LPP) using graphical and simplex methods. Students learn to handle transportation and assignment problems, applying techniques like the North-West Corner rule, Vogel’s Approximation Method, and the Hungarian method. The course also explores production scheduling, including rules like SPT and EDD, and problems involving multiple machines. It provides an understanding of queuing theory, including important formulas, Kendall notation, and numerical applications. Additionally, students study project management, learning to create and analyze network diagrams, and apply CPM and PERT techniques for effective planning and control. Throughout, the course emphasizes both analytical methods and practical numerical applications, preparing students to optimize processes and improve efficiency in real-world industrial systems.

Course suitable for

Key topics covered

  • Introduction

  • What are optimization problems

  • Mathematical formulation of LPP

  • Steps for solving an LPP

  • LPP Formulation

  • Binding constraints & Special cases

  • North-West Corner rule or DENTZY's methods

  • Numerical on assignment problem

  • SPT - Shortest Processing Time

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

39 lectures2 hr 26 min

Opportunities that await you!

Career opportunities

₹449

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