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Industrial Engineering and Operations Research

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Industrial Engineering and Operations Research

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    Engineering Academy

    Engineering Academy

    Learn Without Limits: Free Engineering Courses

  • Course type

    Watch to learn anytime

  • Course duration

    1925 Min

  • Course start date & time

    Access anytime

  • Language

    English

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.

Opportunities that awaits you!

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Course content

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

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Industrial Engineering and Operations Research

60 Lectures

1925 min

  • Lesson icon

    Lec 1: Industrial Engineering and Operations Research

    Preview icon

    Preview

    30 min

  • Lesson icon

    Lec 2: Production Planning and Control , Aggregate production planning

    27 min

  • Lesson icon

    Lec 3: Product Design Part 1

    31 min

  • Lesson icon

    Lec 4: Product Design Part 2

    30 min

  • Lesson icon

    Lec 5: Job,Batch and Flow Production methods

    36 min

  • Lesson icon

    Lec 6: Work study:Enhancing productivity through Methods and Measurement

    32 min

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    Lec 7: Work Sampling and Ergonomics

    30 min

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    Lec 8: Inventory Management part-1

    38 min

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    Lec 9: Inventory Management part-2

    35 min

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    Lec 10: Supply chain Management

    27 min

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    Lec 11: Total Quality Management

    35 min

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    Lec 12: Application of Statistics in TQM

    33 min

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    Lec 13: Acceptance Sampling

    33 min

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    Lec 14: Control Charts

    25 min

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    Lec 15: Taguchi"s Method,Six Sigma,ISO9001

    33 min

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    Lec 16: Forecasting Part 1

    34 min

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    Lec 17: Forecasting Part 2

    35 min

  • Lesson icon

    Lec 18: Scheduling Part 1

    32 min

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    Lec 19: Scheduling Part 2

    29 min

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    Lec 20: Assignment Problems

    33 min

  • Lesson icon

    Lec 21: Line Balancing

    31 min

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    Lec 22: Break-Even Analysis Part 1

    20 min

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    Lec 23: Break-Even Analysis Part 2

    42 min

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    Lec 24: Industry 4.0

    35 min

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    Lec 25: Big Data and Analytics

    29 min

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    Lec 26: Industry 4.0 and 5.0

    29 min

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    Lec 27: Machine learning

    34 min

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    Lec 28: Internet of Things

    30 min

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    Lec 29: Smart Factories

    33 min

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    Lec 30: Digital Twins

    29 min

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    Lec 31: Linear programming

    33 min

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    Lec 32: Linear Programming: Graphical Method

    38 min

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    Lec 33: Linear Programming: Simplex Method

    35 min

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    Lec 34: Simplex Method: Big M and Two Phase

    33 min

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    Lec 35: Special Problems in Linear Programming

    34 min

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    Lec 36: Dual Problems

    36 min

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    Lec 37: Properties of Dual Problem

    24 min

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    Lec 38: Unit Worth of Resource

    35 min

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    Lec 39: Dual Prices as Lagrange Multipliers

    38 min

  • Lesson icon

    Lec 40: Linear Programming: Some Exercise Problems

    33 min

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    Lec 41: Transportation Models: An Introduction

    34 min

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    Lec 42: Transportation Models: Northwest-Corner Method

    31 min

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    Lec 43: Transportation Models: Least-Cost Method

    36 min

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    Lec 44: Transportation Models: Vogel Approximation Method (VAM)

    36 min

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    Lec 45: Transportation Models: Optimality Test

    35 min

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    Lec 46: Critical Path Method

    28 min

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    Lec 47: CPM: Finding Critical Path

    39 min

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    Lec 48: CPM: Float of an Activity

    25 min

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    Lec 49: PERT

    28 min

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    Lec 50: Project Crashing

    28 min

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    Lec 51: Queuing Theory: part 1

    34 min

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    Lec 52: Queuing Theory: part 2

    32 min

  • Lesson icon

    Lec 53: Queuing Theory: part 3

    26 min

  • Lesson icon

    Lec 54: Queuing Theory: part 4

    30 min

  • Lesson icon

    Lec 55: Queuing Theory: part 5

    30 min

  • Lesson icon

    Lec 56: Deterministic Inventory models

    37 min

  • Lesson icon

    Lec 57: Probabilistic Inventory models: part 1

    31 min

  • Lesson icon

    Lec 58: Probabilistic Inventory models: part 2

    36 min

  • Lesson icon

    Lec 59: Probabilistic Inventory models: part 3

    32 min

  • Lesson icon

    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

  1. Introduction to industrial engineering and systems thinking

  2. Work study and methods engineering

  3. Productivity measurement and improvement techniques

  4. Operations research modeling and optimization

  5. Linear, nonlinear, and integer programming

  6. Transportation and assignment problems

  7. Network models and project scheduling (PERT/CPM)

  8. Inventory control and materials management

  9. Queuing theory and waiting line models

  10. Forecasting and demand planning

  11. Quality control and statistical process control

  12. Reliability engineering and maintenance management

  13. Simulation and decision analysis

  14. Supply chain and logistics optimization

  15. 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.

Engineering Academy

Engineering Academy

Learn Without Limits: Free Engineering Courses

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