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Fundamentals of operation research

Engineering Academy

Engineering Academy

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Fundamentals of operation research

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    Engineering Academy

    Engineering Academy

    Learn Without Limits: Free Engineering Courses

  • Course type

    Watch to learn anytime

  • Course duration

    1233 Min

  • Course start date & time

    Access anytime

  • Language

    English

Why enroll

Participants join this course to develop a structured, analytical approach to solving complex decision-making problems involving limited resources and competing objectives. The course equips learners with proven optimization and modeling techniques that are widely used in engineering, operations management, logistics, finance, and analytics-driven roles.

By joining, participants gain practical skills in formulating real-world problems into mathematical models, applying quantitative methods to identify optimal solutions, and interpreting results for effective managerial and technical decisions. The course strengthens problem-solving capability, improves logical and quantitative reasoning, and provides a strong foundation for advanced studies or professional applications in optimization, systems analysis, and data-driven decision support.

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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Fundamentals of operation research

22 Lectures

1233 min

  • Lesson icon

    Introduction to Linear Programming Formulations

    Preview icon

    Preview

    51 min

  • Lesson icon

    Linear Programming Formulations (Contd...)

    52 min

  • Lesson icon

    Linear Programming Solutions- Graphical Methods

    52 min

  • Lesson icon

    Linear Programming Solutions - Simplex Algorithm

    51 min

  • Lesson icon

    Simplex Algorithm-Minimization Problems

    52 min

  • Lesson icon

    Simplex Algorithm - Initialization and Iteration

    52 min

  • Lesson icon

    Simplex Algorithm - Termination

    51 min

  • Lesson icon

    Introduction to Duality

    51 min

  • Lesson icon

    Primal Dual Relationships, Duality Theorems

    51 min

  • Lesson icon

    Dual Variables and the Simplex Tables

    51 min

  • Lesson icon

    Simplex Algorithm in Matrix Form - Sensitivity Analysis

    61 min

  • Lesson icon

    Sensitivity Analysis Transportation Problem (Intro...)

    61 min

  • Lesson icon

    Transportation Problems

    60 min

  • Lesson icon

    Transportation Problem-Optimal Solutions

    61 min

  • Lesson icon

    Transportation Problem-Other Issues

    61 min

  • Lesson icon

    Assignment Problem - Hungarian Algorithm

    60 min

  • Lesson icon

    Other Issues - Introduction to Dynamic Programming

    61 min

  • Lesson icon

    Dynamic Programming - Involving Discrete Variables

    54 min

  • Lesson icon

    Dynamic Programming - Continuous Variables

    59 min

  • Lesson icon

    Dynamic Programming - Linear and Integer Problems

    60 min

  • Lesson icon

    Inventory Models - Deterministic Models

    61 min

  • Lesson icon

    Inventory Models - Discount Models

    60 min

Course details

Fundamentals of Operations Research introduces systematic, quantitative methods for analyzing and optimizing complex decision-making problems in engineering, management, and applied sciences. The course focuses on building mathematical models that represent real-world systems and using analytical and computational techniques to obtain optimal or near-optimal solutions under given constraints. Key emphasis is placed on logical problem formulation, objective function development, and interpretation of results for practical decision support.

Learners are introduced to core concepts such as linear programming, transportation and assignment models, network optimization, inventory control, queuing theory, and basic decision analysis. Through illustrative examples and problem-solving exercises, the course demonstrates how Operations Research tools improve efficiency, reduce costs, and enhance resource utilization in industrial, service, and organizational settings. This foundation equips participants with the analytical mindset and quantitative skills required for advanced optimization and data-driven decision-making.

source: NPTEL[nptelhrd]

Course suitable for

  • Mechanics & Turbomachinery
  • Mechanical
  • Production

Key topics covered

  • introduction to linear programming formulations

  • simplex algorithm-minimization problems

  • simplex algorithm terminatiion

  • introduction to duality

  • transportation problems

  • assignment problem- Hungarian algorithm

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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