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Uncertainty in the analysis of the overall equipment effectiveness on the shop floor

Rößler, Markus Philipp and Abele, Eberhard (2013):
Uncertainty in the analysis of the overall equipment effectiveness on the shop floor.
In: IOP Conference Series: Materials Science and Engineering (MSE) - 2013 International Conference on Manufacturing, Optimization, Industrial and Material Engineering, 46 012019, [Conference or Workshop Item]

Abstract

Abstract. In this article an approach will be presented which supports transparency regarding the effectiveness of manufacturing equipment by combining the fuzzy set theory with the method of the overall equipment effectiveness analysis. One of the key principles of lean production and also a fundamental task in production optimization projects is the prior analysis of the current state of a production system by the use of key performance indicators to derive possible future states. The current state of the art in overall equipment effectiveness analysis is usually performed by cumulating different machine states by means of decentralized data collection without the consideration of uncertainty. In manual data collection or semi-automated plant data collection systems the quality of derived data often diverges and leads optimization teams to distorted conclusions about the real optimization potential of manufacturing equipment. The method discussed in this paper is to help practitioners to get more reliable results in the analysis phase and so better results of optimization projects. Under consideration of a case study obtained results are discussed.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Rößler, Markus Philipp and Abele, Eberhard
Title: Uncertainty in the analysis of the overall equipment effectiveness on the shop floor
Language: English
Abstract:

Abstract. In this article an approach will be presented which supports transparency regarding the effectiveness of manufacturing equipment by combining the fuzzy set theory with the method of the overall equipment effectiveness analysis. One of the key principles of lean production and also a fundamental task in production optimization projects is the prior analysis of the current state of a production system by the use of key performance indicators to derive possible future states. The current state of the art in overall equipment effectiveness analysis is usually performed by cumulating different machine states by means of decentralized data collection without the consideration of uncertainty. In manual data collection or semi-automated plant data collection systems the quality of derived data often diverges and leads optimization teams to distorted conclusions about the real optimization potential of manufacturing equipment. The method discussed in this paper is to help practitioners to get more reliable results in the analysis phase and so better results of optimization projects. Under consideration of a case study obtained results are discussed.

Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering
Event Title: IOP Conference Series: Materials Science and Engineering (MSE) - 2013 International Conference on Manufacturing, Optimization, Industrial and Material Engineering, 46 012019
Date Deposited: 13 Jun 2013 08:32
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