Completed Projects

Our completes projects:

Here you find our completes projects; sorted by end times:


Two-Stage Multi-Criteria Lotsizing in the Automotive Industry

As a consequence of increasing raw material prices and great pricing pressure from of automobile manufacturers, the strain on automobile suppliers has increased.  In order to remain competitive, many automobile suppliers feel impelled to undertake extensive organizational and technological adaptations in various areas.  The cutting of production costs plays a decisive role in this context. Increasing transport costs, besides leading to the relocation of production facilities to low-wage countries, also lend greater importance to the analysis and optimization of existing production sites. The technological support of formerly manually accomplished planning and control of production creates new possibilities for improvement. As the complexity of the planning problem increases due to the increasing number of variables, technological solutions become necessary in order to generate production plans that are in accordance with the entrepreneurial objectives. In cooperation between the business computing group, especially CIM, Keiper, a company which produces seat components, seat structures and services, and the International Graduate School in Paderborn, concepts and methods are being developed to support the planning and control of production.

To realize a computer-supported method of planning, it is necessary to analyze relevant system areas and to transform these, step by step, into a calculable model.

The current project focuses on the areas of production where high capacity utilization is of particular interest because they are a bottleneck or contain capital-intensive equipment. To guarantee the feasibility of the generated planning solutions, it is of crucial importance that all conditions arising in practice be integrated in the model. In practice, there are many conditions that could vary in the course of time, for example due to work shifts or with the different days of the week.

A decomposition of the problem limits the computing time and allows a prioritization of the conditions. A method that is currently being developed considers the most important aspects in an optimization method, while less important aspects are considered within certain tolerance regions in an ensuing improvement procedure.  Besides reducing the computing time, this method prevents the discarding of good solutions because of less important constraints and targets.

Increased reactivity to unexpected events due to reduced planning time, a better adherence to delivery dates, and the minimization of production costs are some of the targets aimed for by the software project dedicated to automated lot-sizing and scheduling.


cAPS - collaborative Adaptive Production Scheduling

The aim of this integrated project is to improve the competitiveness of manufacturing and service companies. This will be archived by an integrated short-term scheduling of collaborative production processes. The presence of real-time information from customers, suppliers and production facilities creates a huge amount of data generated by E-Technologies. The efficient use of this information for a dynamic short-term planning and scheduling of production processes is a challenge arising for large companies as well as SME. The project will result in truly integrated operation, control, and management technologies based on up-to-date and consistent models that are essential to run production or service units collaboratively.