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Authors: Benayadi Nabil 1 ; Le Goc Marc 1 and Bouché Philippe 2

Affiliations: 1 LSIS, Laboratory for Information and System Sciences, University of Marseilles, France ; 2 LGECO, INSA de Strasbourg, France

Keyword(s): Information-Theory, Temporal Knowledge Discovering, Chronicles Models, Markov Processes.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Management Information Systems

Abstract: Modelling manufacturing process of complex products like electronic ships is crucial to maximize the quality of the production. The Process Mining methods developed since a decade aims at modelling such manufacturing process from the timed messages contained in the database of the supervision system of this process. Such process can complex making difficult to apply the usual Process Mining algorithms. This paper proposes to apply the Stochastic Approach framework to model large scale manufacturing processes. A series of timed messages is considered as a sequence of class occurrences and is represented with a Markov chain from which models are deduced with an abductive reasoning. Because sequences can be very long, a notion of process phase based on a concept of class of equivalence is defined to cut up the sequences so that a model of a phase can be locally produced. The model of the whole manufacturing process is then obtained with the concatenation of the model of the different ph ases. The paper presents the application of this method to model the electronics chips manufacturing process of the STMicroelectronics Company (France). (More)

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Paper citation in several formats:
Nabil, B.; Goc Marc, L. and Philippe, B. (2008). USING THE STOCHASTIC APPROACH FRAMEWORK TO MODEL LARGE SCALE MANUFACTURING PROCESSES. In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-989-8111-53-1; ISSN 2184-2833, SciTePress, pages 186-191. DOI: 10.5220/0001888801860191

@conference{icsoft08,
author={Benayadi Nabil. and Le {Goc Marc}. and Bouché Philippe.},
title={USING THE STOCHASTIC APPROACH FRAMEWORK TO MODEL LARGE SCALE MANUFACTURING PROCESSES},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2008},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001888801860191},
isbn={978-989-8111-53-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - USING THE STOCHASTIC APPROACH FRAMEWORK TO MODEL LARGE SCALE MANUFACTURING PROCESSES
SN - 978-989-8111-53-1
IS - 2184-2833
AU - Nabil, B.
AU - Goc Marc, L.
AU - Philippe, B.
PY - 2008
SP - 186
EP - 191
DO - 10.5220/0001888801860191
PB - SciTePress