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Fundamentals of operation research

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Preview this course
Self-paced Advanced

Fundamentals of operation research

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FREE
1233 min
Anytime
English
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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.

Is this course for you?

You should take this if

  • You work in Mechanics & Turbomachinery
  • You're a Mechanical Engineering / Production Engineering professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Mechanical Engineering
  • You need live interaction with an instructor

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

Key topics covered

  • introduction to linear programming formulations

  • simplex algorithm-minimization problems

  • simplex algorithm terminatiion

  • introduction to duality

  • transportation problems

  • assignment problem- Hungarian algorithm

Course content

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

22 lectures20 hr 33 min

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