Using the fuzzy method to evaluate manufacturing productivity

Niu, J; Dartnall, J

Using the fuzzy method to evaluate manufacturing productivity

Niu, J Dartnall, J

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Publication Type:: Conference Proceeding
Citation:: ASME International Mechanical Engineering Congress and Exposition, Proceedings, 2010, 4 pp. 115 - 121
Issue Date:: 2010-01-01

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Field	Value	Language
dc.contributor.author	Niu, J	en_US
dc.contributor.author	Dartnall, J	en_US
dc.date.issued	2010-01-01	en_US
dc.identifier.citation	ASME International Mechanical Engineering Congress and Exposition, Proceedings, 2010, 4 pp. 115 - 121	en_US
dc.identifier.isbn	9780791843772	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16444
dc.description.abstract	This paper introduces a useful method for improvement of the time forecasting of production lines operating at full speed production time (FSPT) and dealing with uncertain time losses. The full speed production time is a major index of the production line's performance because it enables direct evaluation of production line output. This measure is called as overall equipment effectiveness (OEE). The fixed theoretically available hours minus time losses such as holidays, broken equipment and raw materials or labor shortages give us the production lines' full speed production time. The waterfall chart model (WCM) improves the measurement of FSPT and can thereby help decision-makers to evaluate OEE. Unfortunately, there are many uncertain and imprecise factors operating. The fuzzy method can be used to reduce the degree and effect of uncertainty and imprecision [1]. We therefore introduce fuzzy theory into our WCM chart. This will assist decision makers in evaluating uncertainty and imprecision and obtain improved OEE measurements as well as producing better production plans and master production schedules [2]. Copyright © 2010 by ASME.	en_US
dc.relation.ispartof	ASME International Mechanical Engineering Congress and Exposition, Proceedings	en_US
dc.relation.isbasedon	10.1115/IMECE2009-10940	en_US
dc.title	Using the fuzzy method to evaluate manufacturing productivity	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	0910 Manufacturing Engineering	en_US
dc.location.activity	Florida, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

This paper introduces a useful method for improvement of the time forecasting of production lines operating at full speed production time (FSPT) and dealing with uncertain time losses. The full speed production time is a major index of the production line's performance because it enables direct evaluation of production line output. This measure is called as overall equipment effectiveness (OEE). The fixed theoretically available hours minus time losses such as holidays, broken equipment and raw materials or labor shortages give us the production lines' full speed production time. The waterfall chart model (WCM) improves the measurement of FSPT and can thereby help decision-makers to evaluate OEE. Unfortunately, there are many uncertain and imprecise factors operating. The fuzzy method can be used to reduce the degree and effect of uncertainty and imprecision [1]. We therefore introduce fuzzy theory into our WCM chart. This will assist decision makers in evaluating uncertainty and imprecision and obtain improved OEE measurements as well as producing better production plans and master production schedules [2]. Copyright © 2010 by ASME.

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http://hdl.handle.net/10453/16444