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EN
This work investigates the use of enterprise models for service configuration with a focus on knowledge related to organizational roles. Starting from an industrial case, it presents an approach to extract a role’s information demand from an enterprise model and to use this as initial configuration for agent-based services. In addition to the meta-model included in the enterprise modeling language, the use of a common ontology is proposed which captures both, the perspective of information demand and services. The architecture of the agentbased services is following the idea to characterize all actors by their roles and to represent them by sets of services. This approach facilitates self-organization in the service level. The main contributions of the paper are (1) to show that a role’s information demand is relevant for service configuration, (2) to present a way of extracting information demand from enterprise models, and (3) to extend an approach for SOA-based enterprise representation with information demand.
EN
Importance of managing organizational knowledge for manufacturing enterprises has been recognized since decades. This paper addresses two specific aspects of organizational knowledge modelling: (1) capturing organizational knowledge for supporting product development with so called task patterns and (2) evaluation of task pattern use with focus on economic effects achieved. Starting from an industrial case of product development, the paper introduces the concept of task patterns and the method used for development. The evaluation of task pattern use in product development is based on an adaptation of the balanced scorecard approach. The industrial application of task patterns did not only prove feasible and deployable, but resulted also in a number of positive evaluation results. There is reason to believe that lead times can be shortened, the quality of product documentation increases, and the quality of best practices in general seems to improve when using active knowledge models instead of conventional documentation.
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