MODELLING METHOD PROPOSAL FOR KNOWLEDGE COLABORATION IN SMALL INDUSTRIAL CLUSTER

• Main Author: Permadi (NIM 23403002), Dodi
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7676
• Institution: Institut Teknologi Bandung

ABSTRACT: <br /> <br /> <br /> Modeling method in enterprise engineering has been applie many in assisting companies in integrating existing systems (Venugopalan, 2003). The integration covers inter-enterprise and multi-enterprise aiming to increase performance and its competitiveness. Chalmeta, et. Al., (2001) consider that modeling methods in methodologies and frameworks focus in manufacturing business of single enterprise. The methodologies and frameworks need adjustment and cannot be directly adopted if used at multi-enterprise, especially for industrial cluster. Adjustment conducted by considering: 1) the existence of a industrial cluster, can be viewed as a enterprise; 2) the growth of cluster supported by existence of transfer of knowledge activities among members; and in term of inovation 3) the forming of knowledge collaboration to become a key. <br /> <br /> <br /> This research developed a modeling method for the knowledge collaboration by using Presley framework (1997), recognized as Holonic Enterprise Modeling Ontology (HEMO) and dan knowledge work/stance (Hadrich, T dan Maier, R., 2005). This Matter occured because the existence of Holon concept was considered a concept come closer to cluster concept (Ulieru, et. al., 2002) where cluster has approximately characteristics of autonomy and cooperation. <br /> <br /> <br /> Modeling method were in the form of methodologies, stage, method and tools, which were used in modeling knowledge collaboration at industrial cluster. Stage was in the form of activities identification, filtering of activities, grouping of activities, relation indentification, and organizational of knowledge. Afterward the modeling method was implemented at industrial cluster (spesific at metal industrial cluster). <br /> <br /> <br /> Result from implementing this method enable to illustrate knowledge better, as shown by the ability to capture and create knowledge by drawing the activities in cluster, and also the Knowledge can be organizational through knowledge work/stance which consist of function, context, occasion, mode, and action.