Optimization Service

In its true sense Operational Research is an interdisciplinary branch of applied mathematics that used methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems. At eXsusa, we use these scientific methods to achieve specific goals and determine the maxima (assembly line performance, bandwidth, crop yield, and profit in some cases) or the minima (loss risk for example) of a particular objective function or process.

The field of Operations Research is more closely related to Industrial Engineering, however, IT industries use it to evaluate and analyze the business requirements through a mathematical schema that could work on the lines of extreme precision and accuracy. In this way the final product or system is completely coherent with what was required in the first place resulting in greater client satisfaction.

A few features of Operations Research are outlined below:

It has characteristic procedures and techniques
It resolves problems by breaking them down to basic principles
It is not just about idea, but about sound judgments and conclusions
It is the real world, not just theory.
Uses highly developed tools.

Apart from mathematical modeling, other steps are also included under the optimization role as follows:

The following steps help the business system in achieving profit maximization, greater reliability and a sustainable competitive advantage in terms of more flexibility and responsiveness.

Operations research is distinguished by its frequent use to examine an entire management information system, rather than concentrating only on specific elements (though this is often done as well). An operations researcher faced with a new problem is expected to determine which techniques are most appropriate given the nature of the system, the goals for improvement, and constraints on time and computing power.

Not so surprisingly, the human element is very much necessary to drive these techniques in the proper way and make sure that output efficiency of the system is one which would be most suitable when it is put to test in real life.