Konferensartikel

An Innovative Service Business using a Holistic Availability Management System

H. Meier
Department of Mechanical Engineering, Chair of Production Systems, Ruhr University Bochum, Germany

N. Quade
Department of Mechanical Engineering, Chair of Production Systems, Ruhr University Bochum, Germany

S. M. Binner
Department of Mechanical Engineering, Chair of Production Systems, Ruhr University Bochum, Germany

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Ingår i: Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden

Linköping Electronic Conference Proceedings 77:61, s. 475-479

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Publicerad: 2012-10-11

ISBN: 978-91-7393-381-0

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

As a result of constantly growing market requirements and an increasing complexity of machining systems; rising demands emerge on machine productivity; as well as the need for flexibility and availability of production processes. Furthermore; this calls for an innovative and holistic availability management system; which ensures an availability increase by using a significant; process-accompanying and rule-based condition information system. In this information system all condition-relevant data; received from heterogeneous sources; is brought together on a homogeneous platform. Besides; a holistic solution is supported by the cooperation of manufacturers; suppliers and operators which guarantees the consideration of all possible availability losses regardless of their causes. This paper describes the technical challenge and a first holistic approach to develop such a system that ensures an optimized maintenance and production planning based on a reliable and convincing analysis of the actual condition of machines or production systems. With regard to this; chances arise to evolve different business models.

Nyckelord

Availability Management; Maintenance; Business Model

Referenser

[1] Meier; H.; Binner; S. M.; Quade; N.; 2008; Availability-Management of Production Systems Using a Rule-Based In-Line Condition Information System; 6th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering; Naples; Italy; Session A1.

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