Operational Research Training

Operational Research Training

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Overview of Operational Research Training

Operational Research Training is designed to equip professionals and students with practical skills in Operational Research, Decision Analysis, and Quantitative Methods. This comprehensive course introduces Optimization Models and Business Modeling techniques that support data-driven decision-making. Learners will gain the knowledge required to solve complex organizational challenges efficiently and effectively.

The course covers essential topics including Assignment Problems, Transportation Problems, Project Network Analysis, and Decision Theory. Through hands-on applications of Linear Programming, Resource Allocation strategies, and Forecasting Techniques, participants will learn how to evaluate alternatives, optimize performance, and improve operational efficiency across various business and industrial environments.

Participants will also explore Queuing Theory, Process Optimization, and Data Analytics methodologies to enhance productivity and reduce operational costs. By combining analytical tools with real-world case studies, this Operational Research Training enables learners to develop strategic solutions, improve resource utilization, and drive sustainable business growth through informed decision-making.

The course was audited and updated on: 24th May, 2026

Learning Outcomes of Operational Research Training

Certification

one education Certificate

After completing the Operational Research Training course assessment, you will be eligible to receive a CPD-accredited certificate worth £9 from One Education to demonstrate your achievement.

The certificate is also available as a printed hard copy delivered by post for £15.

Why Study This Operational Research Training Course?

Operational Research Training is essential for organizations seeking to improve decision-making and optimize the use of resources through analytical and quantitative methods. This course helps learners understand how mathematical models and data analysis are applied to solve complex business and operational problems.

Studying this course develops skills in problem-solving, data analysis, and optimization techniques. It prepares professionals to evaluate alternatives, improve operational efficiency, and make evidence-based decisions that enhance productivity and organizational performance.

Course Duration

The Operational Research Training course has a total study time of 6 hours, 19 minutes. Learners can work through the material at a flexible pace, enabling them to complete the programme conveniently while developing practical skills in operational research, quantitative analysis, optimization techniques, and data-driven decision-making.

Requirements

The Operational Research Training course is suitable for learners with a basic understanding of mathematics, business operations, or analytical problem-solving. Strong numerical ability, logical reasoning, and analytical thinking are recommended. The course is fully online and accessible from any internet-enabled device, allowing flexible study at your own pace and convenience.

Career Path

Frequently Asked Questions

It focuses on applying mathematical models, analytical methods, and data-driven techniques to solve complex business and operational problems, improve decision-making, and optimise resource allocation.

Yes, a basic understanding of mathematics, statistics, or business analysis is usually recommended.

It is usually delivered online through self-paced modules, quantitative exercises, case studies, and optimisation problem-solving activities.

Yes, most courses include analytical exercises, modelling tasks, case study evaluations, and quizzes.

You will receive a certificate of completion in Operational Research Training.

You can work as an Operations Research Analyst, Business Analyst, Data Analyst, Supply Chain Analyst, Management Consultant, or Operations Planner.

Course Curriculum

Section 01: Overview of Operational Research
Course Structure of Operational Research 00:06:00
Introduction to Operational Research 00:03:00
Section 02: Assignment Problem
Introduction to Assignment Problem 00:06:00
Application and Method of Solving Assignment Problem 00:10:00
Practical Problem of Minimization & Balanced sum Part-1 00:06:00
Practical Problem of Minimization & Balanced sum Part-2 00:07:00
Final Solution of Minimization & Balanced Sum & Copy 00:09:00
Practical Problem of Minimization & Unbalanced Sum Part-1 00:05:00
Practical Problem of Minimization & Unbalanced Sum Part-2 00:08:00
Practical Problem of Maximization Sum Part-1 00:07:00
Practical Problem of Maximization Sum Part-2 00:07:00
Final Solution of Maximization Sum 00:08:00
Section 03: Transportation Problem
Introduction to Transportation Problem 00:06:00
Steps and Methods of Transportation Problem 00:05:00
Understanding the Initial Basic Solution Methods 00:08:00
Practical Problem of North West Corner Method 00:11:00
Practical Problem of Least Cost Method 00:10:00
Practical Problem of Vogel&s Approximation Method Part-1 00:09:00
Practical Problem of Vogel&s Approximation Method Part-2 00:04:00
Another sum of Vogel&s Approximation Method 00:07:00
Understanding the application of MODI Method 00:05:00
Practical Sum of Optimality Test Part-1 00:08:00
Practical Sum of Optimality Test Part-2 00:05:00
Final Solution of Optimality Test 00:10:00
Section 04: Project Network Analysis
Introduction to Project Network Analysis 00:10:00
Components of Project Network Part-1 00:07:00
Components of Project Network Part-2 00:06:00
Learning of Critical Path Analysis 00:11:00
Practical Sum of CPM Part-1 00:07:00
Practical Sum of CPM Part-2 00:07:00
Final Solution of CPM 00:11:00
Learning of Program Evaluation and Review Technique 00:05:00
Practical Sum of PERT Part-1 00:06:00
Practical Sum of PERT Part-2 00:08:00
Final Solution of PERT 00:11:00
Section 05: Decision Theory
Introduction to Decision Theory 00:06:00
Understanding the practical problem of decision theory 00:09:00
Practical Sum of Decision Theory 00:13:00
Understanding of Decision Tree Part-1 00:08:00
Understanding of Decision Tree Part-2 00:06:00
Practical Sum of Decision Tree Part-1 00:07:00
Practical Sum of Decision Tree Part-2 00:06:00
Section 06: Queuing Theory
Learning about Queuing Theory 00:10:00
Characteristics of Queuing Theory Part-1 00:07:00
Characteristics of Queuing Theory Part-2 00:06:00
Practical Sum of Single Server Model 00:09:00
Final Solution of Single Server Model Part-1 00:06:00
Final Solution of Single Server Model Part-2 00:05:00
Practical Sum of Multiple Server Model Part-1 00:06:00
Practical Sum of Multiple Server Model Part-2 00:04:00
Final Solution of Multiple Server Model Part-1 00:05:00
Final Solution of Multiple Server Model Part-2 00:07:00
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