CSC 411

This book focuses on the main objectives of operations research and how they guide decision-making in organisations. It explains the goals of improving efficiency, reducing costs, allocating resources wisely, and finding the best possible solutions to complex problems. The content highlights how operations research aims to support planning, optimise performance, and provide managers with reliable analytical tools. Each chapter connects these objectives to real examples in production, transportat...

This book provides a solid introduction to linear programming and the techniques used to optimise resources in real-world situations. It explains how to form linear models, identify constraints, and find the best possible solution using graphical methods and the simplex algorithm. The book also covers duality, sensitivity analysis, and how linear programming supports decision-making in areas like production planning, budgeting, transportation, and scheduling. Each chapter includes examples, step...

This book introduces the key principles and methods used in operations research. It explains how mathematical models and analytical tools help organisations make better decisions, use resources wisely, and solve complex problems. Topics include linear programming, transportation and assignment models, job scheduling, inventory control, decision theory, and simulation. Each chapter includes practical examples and solved exercises that show how these techniques work in real situations such as busi...

This book explains the core ideas behind job sequencing and replacement theory in an easy-to-understand way. It covers how tasks are arranged to meet deadlines, how to assign limited resources, and how to achieve the highest possible profit or efficiency. You will learn common scheduling methods, priority rules, and how replacement decisions are made when machines or systems begin to fail. The book includes practical examples, solved problems, and short exercises to help students understand how ...

This document introduces the fundamental concepts and techniques of computer simulation. It explains how simulation models are built, tested, and used to study real-world systems that are difficult to analyze through traditional mathematical methods. The content covers model formulation, types of simulation, random number generation, queuing systems, event-driven simulation, and performance evaluation. It also highlights practical applications in areas such as operations, manufacturing, communic...

This document presents the core principles, methods, and applications of Operations Research in Computer Science. It covers problem-solving techniques used to support effective decision-making, such as linear programming, network analysis, transportation problems, assignment models, queuing theory, and simulation. The document explains each concept in simple terms, highlights real-world applications, and demonstrates how these methods help optimize resources, reduce costs, and improve system per...