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Author: Taivo Kangilaski

Affiliation: Tallinn University of Technology, Estonia

Keyword(s): Industrial Cluster, Partner Network, Enterprise Architecture Management, Business Process Management, Quality Management System.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Manufacturing Systems Engineering ; Symbolic Systems ; Virtual Enterprises

Abstract: Small production companies frequently have only limited amount of customers, especially in country sides. To have more orders and to be more competitive, they need to cooperate and form Industrial Clusters. To manage Industrial Cluster, there should be firm Quality Management System. The current article proposes approach about handling that complicity, which is related to the Industrial Cluster Management.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kangilaski, T. (2012). Business Process Development for Industrial Cluster. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-8565-22-8; ISSN 2184-2809, SciTePress, pages 535-538. DOI: 10.5220/0004004705350538

@conference{icinco12,
author={Taivo Kangilaski.},
title={Business Process Development for Industrial Cluster},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2012},
pages={535-538},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004004705350538},
isbn={978-989-8565-22-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Business Process Development for Industrial Cluster
SN - 978-989-8565-22-8
IS - 2184-2809
AU - Kangilaski, T.
PY - 2012
SP - 535
EP - 538
DO - 10.5220/0004004705350538
PB - SciTePress