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Press shop machine analysis and trending

Cheesewright, G., Cardew-Hall, M., Hodgson, Peter, Rolfe, Bernard and Frayman, Yakov 2003, Press shop machine analysis and trending, in ICPR-17 : Electronic proceedings the 17th International Conference on Production Research, Virginia Tech, Blacksburg, Va., pp. 1-9.

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Title Press shop machine analysis and trending
Author(s) Cheesewright, G.
Cardew-Hall, M.
Hodgson, Peter
Rolfe, BernardORCID iD for Rolfe, Bernard orcid.org/0000-0001-8516-6170
Frayman, Yakov
Conference name International Conference on Production Research (17th: 2003: Blacksburg, Va.)
Conference location Blacksburg, Va.
Conference dates 3-7 Aug. 2003
Title of proceedings ICPR-17 : Electronic proceedings the 17th International Conference on Production Research
Editor(s) Deisenroth, Michael
Publication date 2003
Conference series International Conference on Production Research
Start page 1
End page 9
Publisher Virginia Tech
Place of publication Blacksburg, Va.
Summary Historically downtime data collection and reporting systems in many automotive body panel press shops has been somewhat adhoc. The impetus for this study stems from frustration in respect of how this data is collected, assessed for trends and presented. Ideally this data should be used to identify costly repetitious faults for actioning of maintenance work and for feedback to tool design for consideration when designing new parts.

Presently this data is stored largely in the form of tacit knowledge by press shop operators; the encumbrance of transferring such information being that there is very often only limited channels to quantify it into something more tangible. Findings show that there tend to be two related obstacles to plant data recording. The first is that automation of down time data collection alone cannot determine fault causes as the majority of press shop events are initiated primarily from operator observation. The second is that excessive subjective operator input can often result in confusion and end up taking greater time in recording than remedying the actual fault.

This Paper presents the development of a system that through press mounted touchscreens encourages basic subjective operator input and relates this with basic objective data such as timekeeping. In this way all responses for a given press line become valuable and can be trended and placed in a hierarchy based on their percentage contribution to downtime or statistical importance. This then is capable of statistically alerting maintenance, line flow and/or toolbuild areas as to what issues require their most urgent attention.
ISBN 0972125736
9780972125734
Language eng
Field of Research 091099 Manufacturing Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, Virginia Tech
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009601

Document type: Conference Paper
Collections: School of Engineering and Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.