Process Performance Measurement - Joint Project Between Robotron and TU Dresden
Content:
Methodological support for developing and operating analytical information systems in the context of data-intensive processes.
Background:
Increasingly, companies encounter complex and highly dynamic processes which are based on multi-layered cause and effect relationships.To cope with the complexity and rate of change in the planning, control, execution and audit of these processes companies require a new holistic methodological approach. The approach has to support the implementation, audit and control of strategies and their goals within such a complex process landscape. A starting point to manage the complexity of process-oriented organizations is measuring the "performance". It can be seen as a measureable part of the overall contribution to the achievement of objectives and always represents the results of performed actions. The Process Performance Measurement (PPM) is a process to operationalize performance, which is part of and also the result of operational activities. The PPM is directly derived from the company's goals and therefore cannot be seen as a separate artifact. It performs the following tasks within an organization: the development of a performance measurement system, the establishement of routines for measurements within planning, control and audit processes, the communication of measurement results.
One example for a complex process landscape ist the Working Capital Management (WCM). It allows to operate an organization in a flexibel and adequate manner within volatile financial markets and markets with a high degree of competition. The WCM requires a holistic planning, control and audit of current assets, current liabilities and the relationships in between to free up capital, optimize production costs and thus increase the company value. Different approaches already exist for WCM but an overall view on central control parameters and their cause-effect relationships as well as their application in an analytical information system is still missing.
Objective:
The objective of the project is to develop a software-based generic consulting approach for the Process Performance Measurement (PPM) in industrial processes as well as the development of a specialized PPM approach for WCM. Through the analysis of data-intensive processes, important control parameters and cause-effect relationships should be generically identified. Afterwards, the results should be integrated in an adequate information system. In a final evaluation phase, a case study is used to compare the results of the generic consulting approach with the results of the specialized PPM approach.
Research Approach:
In a first step the requirements for the development of an approach that supports the development and continuous operation of a Process Performance Measurement (PPM) and a PPM-System (PPMS) in the context of data-intensive processes will be identified. Afterwards, a model-based approach for PPM and the transformation into an application system is developed. In doing so, existing methods of business process management and BI will be analyzed, combined and intregrated in the new approach for developing and operating PPM/PPMS.
Coordination:
Prof. Dr. Andreas Hilbert
Processors:
- Dipl.-Wirt.-Inf. (BA) Uwe Wieland, MBA
- Marco Fischer
- Dipl.-Kfm. Marcus Pfitzner
Duration:
2012/11/01 - 2014/12/31