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Introduction and History of OR. Industrial RevolutionGrowing businessesDepartment divisionsLimited resourcesCame about during WWIIEffectively manage resourcesEfficiently deploy new toolsUS and British military asked scientists to apply this scientific method to deal with strategic and tactica
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1.
Group 3
Vahe Karapetyan
Dena Rad
Eidin Balali
Patrick Njathi
Zhong Zheng
Damilare Adeoye
Operations Research & Linear Programming
2. Introduction and History of OR Industrial Revolution
Growing businesses
Department divisions
Limited resources
Came about during WWII
Effectively manage resources
Efficiently deploy new tools
US and British military asked scientists to apply this scientific method to deal with strategic and tactical problems
Success in Air Battle of Britain
Battle of the North Atlantic
OR improvement and implementation after the war
Research for new methods
Solving problems outside of the military
Help of Computers
Development of electronic digital computers
Development of PCs in the 1980s
3.
Discipline of applying advanced analytical methods to help make better decisions
Maximize the profit and minimize risk/cost
All industries
One department
Each division
OR analyst:
Higher manager
Show solution
Decision making, planning, forecasting
Work Around you
Better scheduling of airline crew
Waiting line at Disney
OR and Methods
4.
“entire efficient/optimal solution”
Manufacturing -- product choice
Agriculture -- feed choice
The Transportation Problem
Scheduling
Finance
Linear Programming
5. Approaches and Problems Solved with OR
6.
Generally speaking, OR improves the effectiveness and the efficiency of an institution, hence some of the benefits offered by OR include:
Decrease Cost or Investment
Increase Revenue or Return on Investment
Increase Market Share
Manage and Reduce Risk
Improve Quality
Increase Throughput while Decreasing Delays
Achieve Improved Utilization from Limited Resources
Demonstrate Feasibility and Workability
Benefits of OR
7. Operations research has had an impressive impact on improving the efficiency of numerous organizations around the world and has done this by increasing the productivity of the economies of various countries.
The goal of OR is to provide rational bases for decision making by seeking to understand and structure complex situations, and to utilize this understanding to predict system behavior and improve system performance.
To arrive at this goal certain approaches and methods could be performed and applied.
Linear Programming being an important method used in OR, it is very effective in finding optimal solutions to a problem. Whether it is used to maximize profits and production or reduce risks and costs, Linear Programming provides a simple method to solving these problems.
Conclusion