Finding the potential of optimization

Optimization problems in companies are usually complex and highly individual. Still in most cases it is worth a closer look to identify and solve them using operations research methods. Normally the following reduction of manual effort and automation of business processes is accompanied by economic success, either as cost savings or in many cases also as additional earnings.

ew : : eigenwert developed a widely standardized procedure to identify optimization potential, formulate the problem mathematically and abstract it as well as develop and implement efficient approach of solving the problem.

Using the models of ew : : eigenwert that are embedded into the IT-landscape of the companies via flexible interfaces, operators can produce recommended courses of action. By varying input parameters it is even possible to evaluate scenario analyses, generate economic estimations, or produce complete business cases. This way, time-critical and complex processes become controllable and decision-makers in companies get a basis for their future course of action.


  1. Together with the customer, identify the problem. Define restrictive parameters if already known
  2. Translate and abstract the problem into a mathematical model
  3. Define in- and output data (interfaces)
  4. Implement the request. For larger projects usually a data base is composed an a managing software is developed
  5. Do common test cycles together with the customer. Identify needs for changes. Continuously improve the program until go live.
  6. Go live of the model with continuous maintenance and support by ew : : eigenwert. Additionally agree upon further development of the tool, model or program by ew : : eigenwert.