Industrial Engineering and Operations Research

Industrial Engineering and Operations Research

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Why enroll

This course is highly valuable for students and professionals who aim to develop strong analytical, optimization, and decision-making skills. Enrolling in IE & OR helps learners understand how to analyze complex operational problems, allocate limited resources efficiently, minimize costs, improve quality, and enhance overall system performance. The course is particularly relevant for careers in operations management, planning, analytics, consulting, supply chain, and project management.

It is also extremely useful for competitive examinations, higher studies (MTech, MS, MBA, PhD), and research roles, as operations research forms a core component of many technical and management entrance exams. Professionals from civil, mechanical, electrical, production, and computer engineering backgrounds benefit from this course by gaining a managerial and optimization-oriented perspective that complements their technical expertise.

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Career opportunities

Engineer Costing

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Business Development Manager

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Sales Executive

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Course content

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

Industrial Engineering and Operations Research

60 Lectures

1925 min

Lec 1: Industrial Engineering and Operations Research
Preview
30 min
Lec 2: Production Planning and Control , Aggregate production planning
27 min
Lec 3: Product Design Part 1
31 min
Lec 4: Product Design Part 2
30 min
Lec 5: Job,Batch and Flow Production methods
36 min
Lec 6: Work study:Enhancing productivity through Methods and Measurement
32 min
Lec 7: Work Sampling and Ergonomics
30 min
Lec 8: Inventory Management part-1
38 min
Lec 9: Inventory Management part-2
35 min
Lec 10: Supply chain Management
27 min
Lec 11: Total Quality Management
35 min
Lec 12: Application of Statistics in TQM
33 min
Lec 13: Acceptance Sampling
33 min
Lec 14: Control Charts
25 min
Lec 15: Taguchi"s Method,Six Sigma,ISO9001
33 min
Lec 16: Forecasting Part 1
34 min
Lec 17: Forecasting Part 2
35 min
Lec 18: Scheduling Part 1
32 min
Lec 19: Scheduling Part 2
29 min
Lec 20: Assignment Problems
33 min
Lec 21: Line Balancing
31 min
Lec 22: Break-Even Analysis Part 1
20 min
Lec 23: Break-Even Analysis Part 2
42 min
Lec 24: Industry 4.0
35 min
Lec 25: Big Data and Analytics
29 min
Lec 26: Industry 4.0 and 5.0
29 min
Lec 27: Machine learning
34 min
Lec 28: Internet of Things
30 min
Lec 29: Smart Factories
33 min
Lec 30: Digital Twins
29 min
Lec 31: Linear programming
33 min
Lec 32: Linear Programming: Graphical Method
38 min
Lec 33: Linear Programming: Simplex Method
35 min
Lec 34: Simplex Method: Big M and Two Phase
33 min
Lec 35: Special Problems in Linear Programming
34 min
Lec 36: Dual Problems
36 min
Lec 37: Properties of Dual Problem
24 min
Lec 38: Unit Worth of Resource
35 min
Lec 39: Dual Prices as Lagrange Multipliers
38 min
Lec 40: Linear Programming: Some Exercise Problems
33 min
Lec 41: Transportation Models: An Introduction
34 min
Lec 42: Transportation Models: Northwest-Corner Method
31 min
Lec 43: Transportation Models: Least-Cost Method
36 min
Lec 44: Transportation Models: Vogel Approximation Method (VAM)
36 min
Lec 45: Transportation Models: Optimality Test
35 min
Lec 46: Critical Path Method
28 min
Lec 47: CPM: Finding Critical Path
39 min
Lec 48: CPM: Float of an Activity
25 min
Lec 49: PERT
28 min
Lec 50: Project Crashing
28 min
Lec 51: Queuing Theory: part 1
34 min
Lec 52: Queuing Theory: part 2
32 min
Lec 53: Queuing Theory: part 3
26 min
Lec 54: Queuing Theory: part 4
30 min
Lec 55: Queuing Theory: part 5
30 min
Lec 56: Deterministic Inventory models
37 min
Lec 57: Probabilistic Inventory models: part 1
31 min
Lec 58: Probabilistic Inventory models: part 2
36 min
Lec 59: Probabilistic Inventory models: part 3
32 min
Lec 60: Probabilistic Inventory models: part 4
28 min

Course details

Industrial Engineering and Operations Research (IE & OR) is a specialized engineering discipline that focuses on the systematic analysis, design, optimization, and management of integrated systems involving people, materials, machines, money, information, and energy. The course emphasizes the use of mathematical models, statistical analysis, optimization techniques, and computational tools to support effective decision-making in complex engineering and managerial environments. It bridges the gap between engineering and management, enabling learners to improve productivity, efficiency, quality, reliability, and cost performance of organizations.

The course covers both Industrial Engineering concepts—such as work study, productivity improvement, quality control, reliability, maintenance, and supply chain management—and Operations Research techniques, including linear programming, network analysis, inventory models, queuing theory, simulation, and decision analysis. Strong emphasis is placed on real-world applications in manufacturing, construction, transportation, logistics, healthcare, energy systems, and service industries. By combining theory with practical problem-solving approaches, the course prepares learners to design optimized systems and make data-driven decisions in dynamic and uncertain environments.

SOURCE- Youtube [NPTEL IIT Guwahati]

Course suitable for

Logistics and Supply Chain Management
Oil & Gas
Energy & Utilities
Production
Civil & Structural
Chemical & Process

Key topics covered

Introduction to industrial engineering and systems thinking
Work study and methods engineering
Productivity measurement and improvement techniques
Operations research modeling and optimization
Linear, nonlinear, and integer programming
Transportation and assignment problems
Network models and project scheduling (PERT/CPM)
Inventory control and materials management
Queuing theory and waiting line models
Forecasting and demand planning
Quality control and statistical process control
Reliability engineering and maintenance management
Simulation and decision analysis
Supply chain and logistics optimization
Application of IE & OR in manufacturing and service systems

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Industry Veteran
Trainer Review

Heelium

EveryEng is my go-to platform for engineering education. The courses are easy to follow, and the instructors are very knowledgeable. The platform has helped my team gain confidence and expertise in our field.

Siddharth Jain

Co-Founder

Pune, India

L&T

EveryEng is a game-changer in engineering education. The platform provides high-quality courses, interactive learning experiences, and excellent mentor support. It has significantly helped me grow in my engineering career.

Omkar Zolekar

Ass Manager, Projects

Mumbai, India

Lummus

I love how EveryEng makes complex engineering concepts easy to understand. The platform offers valuable insights, great mentors, and a supportive community. It's truly a one-stop solution for engineers worldwide.

Siddharth Mishra

Project Manager

Frankfrut, Germany

KPMG

From learning new technologies to getting hired, this platform changed engineer's career trajectory! It's a great work by Engineer's behind the EveryEng brain.

Rahul Dalal

Senior Resourc Manager

Dallas, USA

Lamprell

EveryEng provides everything an aspiring engineer needs. The courses are relevant, engaging, and easy to follow. It's the best investment an engineer can make in his/her career!

Parth Desai

Offshore Construction Manager

Dubai, UAE

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Engineering Academy

Learn Without Limits: Free Engineering Courses

Questions and Answers

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Industrial Engineering and Operations Research

Engineering Academy

FREE

Advanced course for professionals

Industrial Engineering and Operations Research

Engineering Academy

Why enroll

Opportunities that awaits you!

Earn a course completion certificate

Career opportunities

Engineer Costing

Business Development Manager

Sales Executive

Course content

Industrial Engineering and Operations Research

Course details

Course suitable for

Key topics covered

Why people choose EveryEng

Heelium

Siddharth Jain

L&T

Omkar Zolekar

Lummus

Siddharth Mishra

KPMG

Rahul Dalal

Lamprell

Parth Desai

Engineering Academy

Questions and Answers

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