Abstract
Absorbing the dynamics in production and to stabilize the production processes requires high efforts in order control. Today’s IT-systems such as Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES) are specialized in planning technical resources and optimizing deterministic sequences. Inconsistencies in planning have to be compensated by the operational staff at the latest. The vision of High Resolution Information Management (HRIM) is to build upon decentralized and adaptive control mechanisms for the workers in contrast to the traditional centralized control paradigm. In using context information, creating transparency through information and evaluating alternatives in the decision making process, the workers can better be enabled in handling the dynamic inherent in the system. The centralized structure of the companywide planning and control system will therefore not be abolished on the operational area but completed by decentralized self controlling structures.
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Schuh, G., Kampker, A., Franzkoch, B., Potente, T., Fuchs, S. (2010). High Resolution Information Management Decentralized and Self Optimizing Manufacturing Control in a Multi Machine Operating Environment. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_56
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DOI: https://doi.org/10.1007/978-3-642-10430-5_56
Publisher Name: Springer, Berlin, Heidelberg
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