Improvement of quality performance in manufacturing organizations by minimization of production defects

Hdl Handle:
http://hdl.handle.net/10149/58356
Title:
Improvement of quality performance in manufacturing organizations by minimization of production defects
Authors:
Dhafr, N. (Nasreddin); Ahmad, M. M. (Munir); Burgess, B. (Brian); Canagassababady, S. (Siva)
Affiliation:
University of Teesside. School of Science and Technology. Teesside Manufacturing Centre (TMC); APL Technologies. Process Engineering. Middlesbrough.
Citation:
Dhafr, N. et al. (2006) 'Improvement of quality performance in manufacturing organizations by minimization of production defects', Robotics and Computer-Integrated Manufacturing 22 (5-6), pp.536-542.
Publisher:
Elsevier
Journal:
Robotics and Computer-Integrated Manufacturing
Issue Date:
Dec-2006
URI:
http://hdl.handle.net/10149/58356
DOI:
10.1016/j.rcim.2005.11.009
Abstract:
The work in this paper will present a developed methodology for quality improvement in manufacturing organizations. This methodology comprises a model for the identification of various sources of quality defects on the product; this model would include an analysis tool in order to calculate defect probability, a statistical measurement of quality, and a lean manufacturing tool to prevent the presence of defects on the product. The attribution of defects to their source will lead to a fast and significant definition of the root cause of defects. The techniques described in this paper were developed for an improvement project in a plastic parts painting manufacturing facility of a first-tier supplier to the automotive industry. Data were collected from the manufacturing plant, which indicated that the daily defect rates were significant, ranging between 10% and 15%. These figures gave a clear indication that the number of defects could be significantly reduced to a few parts within the total production. This could be achieved if appropriate manufacturing practices were adopted with the aim of reducing the effect of manufacturing system variables that affect overall quality. A process attribute chart (H-PAC) has been introduced to monitor the defects every hour. Upper and lower control limits were given and an SPC graph is plotted every hour for the three major defects. If the defects go above the upper control limits, the team meets to solve the issues. Over ten weeks’ study after implementing changes, there was a 9% reduction in defects.
Type:
Article
Keywords:
quality performance; production defects; minimization; quality defects; manufacturing
ISSN:
0736-5845
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 21/12/09]
Citation Count:
2 [Scopus, 21/12/09]

Full metadata record

DC FieldValue Language
dc.contributor.authorDhafr, N. (Nasreddin)-
dc.contributor.authorAhmad, M. M. (Munir)-
dc.contributor.authorBurgess, B. (Brian)-
dc.contributor.authorCanagassababady, S. (Siva)-
dc.date.accessioned2009-04-01T10:49:55Z-
dc.date.available2009-04-01T10:49:55Z-
dc.date.issued2006-12-
dc.identifier.citationRobotics and Computer-Integrated Manufacturing; 22 (5-6): 536-542-
dc.identifier.issn0736-5845-
dc.identifier.doi10.1016/j.rcim.2005.11.009-
dc.identifier.urihttp://hdl.handle.net/10149/58356-
dc.description.abstractThe work in this paper will present a developed methodology for quality improvement in manufacturing organizations. This methodology comprises a model for the identification of various sources of quality defects on the product; this model would include an analysis tool in order to calculate defect probability, a statistical measurement of quality, and a lean manufacturing tool to prevent the presence of defects on the product. The attribution of defects to their source will lead to a fast and significant definition of the root cause of defects. The techniques described in this paper were developed for an improvement project in a plastic parts painting manufacturing facility of a first-tier supplier to the automotive industry. Data were collected from the manufacturing plant, which indicated that the daily defect rates were significant, ranging between 10% and 15%. These figures gave a clear indication that the number of defects could be significantly reduced to a few parts within the total production. This could be achieved if appropriate manufacturing practices were adopted with the aim of reducing the effect of manufacturing system variables that affect overall quality. A process attribute chart (H-PAC) has been introduced to monitor the defects every hour. Upper and lower control limits were given and an SPC graph is plotted every hour for the three major defects. If the defects go above the upper control limits, the team meets to solve the issues. Over ten weeks’ study after implementing changes, there was a 9% reduction in defects.-
dc.publisherElsevier-
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 21/12/09]-
dc.subjectquality performance-
dc.subjectproduction defects-
dc.subjectminimization-
dc.subjectquality defects-
dc.subjectmanufacturing-
dc.titleImprovement of quality performance in manufacturing organizations by minimization of production defects-
dc.typeArticle-
dc.contributor.departmentUniversity of Teesside. School of Science and Technology. Teesside Manufacturing Centre (TMC); APL Technologies. Process Engineering. Middlesbrough.-
dc.identifier.journalRobotics and Computer-Integrated Manufacturing-
ref.assessmentRAE 2008-
ref.citationcount2 [Scopus, 21/12/09]-
or.citation.harvardDhafr, N. et al. (2006) 'Improvement of quality performance in manufacturing organizations by minimization of production defects', Robotics and Computer-Integrated Manufacturing 22 (5-6), pp.536-542.-
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