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Document Details

SalutaryBohrium

Uploaded by SalutaryBohrium

Cebu Technological University

Tags

operation research linear programming optimization techniques decision making

Summary

This document presents an introduction to operation research, specifically focusing on linear programming. It covers the fundamental concepts, applications, and problem-solving techniques in operation research.

Full Transcript

**Operation Research** **Introduction of Operation Research** **Operation Research** is a scientific approach to decision-making, using mathematical models and analysis to optimize complex systems. 》》It is popular because it helps businesses optimize processes, improve efficiency, minimize cost...

**Operation Research** **Introduction of Operation Research** **Operation Research** is a scientific approach to decision-making, using mathematical models and analysis to optimize complex systems. 》》It is popular because it helps businesses optimize processes, improve efficiency, minimize costs, and make data-driven decisions, ultimately leading to increased productivity and competitive advantage. ! ! Goal ! ! - **Origin and Development** 》It\'s main origin was during the World War \|\|. The military leaders needed to optimize the use of limited resources. 》 Post-War Growth - **Key Pioneers🔑** - - - - - - **Introduction to Linear Programming** **Linear Programming** is a mathematical method for determining a way to achieve the best outcome in a given mathematical model. 》APPLICATION AREAS: - - - - - **Problem Formulation of Linear Programming** Components of LP 1. 2. 3. **Objective Function** 》It represents the goal of the linear programming problem. Example: - P=𝑐\_1x+𝑐\_2y **Identifying Decision Variables** 》 A variables that decision-makers will control. Example: - - **Establishing Constraints** 》 It is a conditions that limit the decision variables. Example: - **Characteristics of Linear Programming Problems** 1. - 2. - 3. - 4. - 5. - - 6. - **Application of Linear Programming** - - - Summary: **Linear programming** is a powerful tool for optimization, characterized by its linearity, additivity, and certainty. Problem Solving Examples: Problem \# 1: PROBLEM \# 2:![](media/image3.jpg) PROBLEM \# 3 & 4:

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