(187a) Development and Proving of an Information System | AIChE

(187a) Development and Proving of an Information System

Authors 

Mayer, H. - Presenter, Hamburg University of Technology
Fieg, G., University of Technology Hamburg
The process and manufacturing industries are currently in a dynamic competitive situation. On an increasingly global market, at least the medium-term growth rates of past decades are no longer to be expected. On the other hand, the classical core technologies of the two industries have now achieved a degree of maturity, which allows only limited rationalization. Companies in both industries must tackle this pressure through appropriate strategies. These strategies consist, among other things, to make operational processes faster, more efficient and more cost-effective. In addition, access to "hidden" capital in the form of skills, knowledge and experience of the employees creates additional competitive advantages. As a result, the problem of expert (employee) knowledge as well as of the transfer and management of knowledge within the framework of smart manufacturing is of great importance. This greatly favors the need to develop appropriate information systems.

In the presentation, a comparison between the process and the manufacturing industry is developed using relevant criteria. This is followed by a critical assessment of modeling strategies employed in both industries with regard to the identification, preservation, distribution, development and collection of implicit and explicit knowledge of employees in the context of knowledge management. The consistent use of knowledge greatly supports the planning of the production and the achievement of stable operating conditions. As a result, the costs and time required for the production of the products are greatly reduced, thereby considerably increasing the competitiveness of the company. This is achieved by a high degree of automation. The presentation will be closed with the introduction and the proving of a developed information system in the manufacturing industry.