Operationnal Research

1. Steps

1.1. 1. Observe the problem environment (research, observe etc...)

1.2. 2. Analyze and define the problem

1.3. 3. Develop a model

1.4. 4. Selection of data input

1.5. 5. Solution and testing

1.6. 6. Implementation of the solution

2. Benefits

2.1. 1. Decrease Cost

2.2. 2. Increase revenue or return on investment

2.3. 3. Increase market share

2.4. 4. Manage and reduce risk

2.5. 5. Improve quality

2.6. 6. Demonstrate Feasibility and workability

3. Adventages

3.1. 1. Effective Decisions

3.2. 2. Better Coordination

3.3. 3. Facilitates Control

3.4. 4. Improves productivity

4. Limitations

4.1. 1. Magnitude of computation

4.2. 2. Non-Quantifiable Factors

4.3. 3. Distance between user and Analyst

4.4. 4. Time and money costs

4.5. 5. Implementation

5. Techniques

5.1. 1. Linear programming

5.2. 2. Waiting Line or Queuing Theory

5.3. 3. Game Theory

5.4. 4. Inventory control models

5.5. 5. Simulation

5.6. 6. Non-linear Programming

5.7. 7. Integer Programming

5.8. 8. Dynamic programming

5.9. 9. Sequencing Theory

5.10. 10. Symbolic logic

6. Scope

6.1. 1. National planning and budgeting

6.2. 2. Defense Services

6.3. 3. Industrial establishment and private sector units

6.4. 4. R&D and Engineering

7. Applications and uses

7.1. 1. Accounting

7.2. 2. Construction

7.3. 3. Facilities Planning

7.4. 4. Finance

7.5. 5. Manufacturing

7.6. 6. Marketing

7.7. 7. Organization Behavior (RH)

7.8. 8. Purchasing

7.9. 9. R&D