operational research is procedures or set of tools to solve problems. it's assist to decision maker to find best or optimal solution in many situation.
Ir. Budi Santosa, MS, PhD taught me that operational research's standard procedures composed six steps:
1. recognizing the problem
how the current situation? where the problem comes? what the expected state to be reach? wich entities involves in the problem? ext.
2. formulate the problem
state the problem : set the goal or objective function (minimum, maximum, optimum, ext), determines variable (controllable entities) and parameters (uncontrollable entities), delimit the systems, identify the constrains, and select measures.
3. construct a model
the are two group of operational research models:
Deterministic models:
- linear programming
- non linear programming
- network optimization
- integer programming
Stochastic models:
- Discrete-time Markov chains
- Continuous-time Markov chains
- Queuing
- Decision Analysis
the different of two group model is deterministic models assumes all data are known with certainty, and possibly to find optimal solution for the problem. contrast with that, stochastic models explicitly represent uncertain data via random variables or stochastic processes, involves estimation/prediction of system performance.
4. find a solution
input formulated problem into selected model solution to get problem's solution
5. establish a procedures
it's should be generate step by step procedures to help the user easier implementing the solution and maintain the implementation. Other ways is by developing software.
6. implement the solution
final step is monitoring organization changes caused by implementation and establish control to recognize change in the real situation.
Ir. Budi Santosa, MS, PhD taught me that operational research's standard procedures composed six steps:
1. recognizing the problem
how the current situation? where the problem comes? what the expected state to be reach? wich entities involves in the problem? ext.
2. formulate the problem
state the problem : set the goal or objective function (minimum, maximum, optimum, ext), determines variable (controllable entities) and parameters (uncontrollable entities), delimit the systems, identify the constrains, and select measures.
3. construct a model
the are two group of operational research models:
Deterministic models:
- linear programming
- non linear programming
- network optimization
- integer programming
Stochastic models:
- Discrete-time Markov chains
- Continuous-time Markov chains
- Queuing
- Decision Analysis
the different of two group model is deterministic models assumes all data are known with certainty, and possibly to find optimal solution for the problem. contrast with that, stochastic models explicitly represent uncertain data via random variables or stochastic processes, involves estimation/prediction of system performance.
4. find a solution
input formulated problem into selected model solution to get problem's solution
5. establish a procedures
it's should be generate step by step procedures to help the user easier implementing the solution and maintain the implementation. Other ways is by developing software.
6. implement the solution
final step is monitoring organization changes caused by implementation and establish control to recognize change in the real situation.
Komentar
Posting Komentar