Do you face complex decisions? Do you have any problems with processes in your organization? Does your organization use all the data it accumulates?
Whether you are managing some kind of operational process, deciding on schedule or resource allocation, a marketing manager deciding on rules or priorities, or a senior decision maker setting a strategy - operations research can contribute by objectively and scientifically examining the problems you are facing.
Opererations research brings you the set of tools you need to reach the best decision, while weighing the different options, analyzing potential gaps, checking sensitivity for different scenarios, and comparing the consequences of possible actions.
The tools of operations research are diverse: simulations, statistical analysis, probability, queueing theory, and many more.
What is operations research analysis and how is it preformed?
We begin by setting the research questions? (what are the goals for optimization?)
There are variety of optimization goals, according to the needs: cutting on expanses, improving customer satisfaction, maximizing profit, shortening waiting times, maximizing other measures of preformance.
The second step is to identify the different parameters which might influence the process, and setting the assumptions about the values and realtions between the parameters.
The third step is to fit a model. In this step the assumptions are weighed and a scientific model is formulized to describe the dependencies between the parameters and measures of preformance.
The next step is to take the theoretical model and implement it. This can be done by analytical computation, by simulation, or other tools. These tools enable us to estimate the values of the measures of preformance under different scenarios, and to reach the best course of action under the assumptions.
After the computation is completed, we write a complete report, including recommendations and a presentation in the relevant forum.