An investigation on supplier delivery performance by using SPC techniques for automotive industry

As about 60% of finished price of goods are allocated to raw material and purchased parts by suppliers in the chain of automotive industry, the importance of supplier management and its performance is an ongoing problem. Moreover the need of monitoring of supplier performance has been emphasized in...

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Main Authors: Darestani, Soroush Avakh, Ismail, Md. Yusof, Ismail, Napsiah, Mohd Yusuff, Rosnah
Format: Article
Language:English
Published: Marsland Press 2010
Online Access:http://psasir.upm.edu.my/id/eprint/13050/1/An%20investigation%20on%20supplier%20delivery%20performance%20by%20using%20SPC%20techniques%20for%20automotive%20industry.pdf
http://psasir.upm.edu.my/id/eprint/13050/
http://www.jofamericanscience.org/journals/am-sci/am0604/
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spelling my.upm.eprints.130502016-01-26T01:50:25Z http://psasir.upm.edu.my/id/eprint/13050/ An investigation on supplier delivery performance by using SPC techniques for automotive industry Darestani, Soroush Avakh Ismail, Md. Yusof Ismail, Napsiah Mohd Yusuff, Rosnah As about 60% of finished price of goods are allocated to raw material and purchased parts by suppliers in the chain of automotive industry, the importance of supplier management and its performance is an ongoing problem. Moreover the need of monitoring of supplier performance has been emphasized in Quality Management System of automotive industry ISO/TS16949. To meet standard requirement and also continuous improvement in business, companies need to monitor their supplier performance. Delivery and quality are two of the most important indicators of supplier evaluation. This paper introduces a statistical approach to monitor supplier performance over time by using control charts. To monitor supplier delivery performance, a statistical control chart is developed based on conceptual model of how to implement in industry. Normality test is done on data and upper and lower control limits are calculated. Data gathered from supplier of a tier 1 company and out of control signals are recognized on chart. All out of control signals are removed from control chart and updated “In control” is obtained with improved mean and standard deviation. It can be employed in the industry and should result in improvement in supplier performance over time. Marsland Press 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13050/1/An%20investigation%20on%20supplier%20delivery%20performance%20by%20using%20SPC%20techniques%20for%20automotive%20industry.pdf Darestani, Soroush Avakh and Ismail, Md. Yusof and Ismail, Napsiah and Mohd Yusuff, Rosnah (2010) An investigation on supplier delivery performance by using SPC techniques for automotive industry. Journal of American Science, 6 (4). pp. 5-11. ISSN 1545-1003; ESSN: 2375-7264 http://www.jofamericanscience.org/journals/am-sci/am0604/
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description As about 60% of finished price of goods are allocated to raw material and purchased parts by suppliers in the chain of automotive industry, the importance of supplier management and its performance is an ongoing problem. Moreover the need of monitoring of supplier performance has been emphasized in Quality Management System of automotive industry ISO/TS16949. To meet standard requirement and also continuous improvement in business, companies need to monitor their supplier performance. Delivery and quality are two of the most important indicators of supplier evaluation. This paper introduces a statistical approach to monitor supplier performance over time by using control charts. To monitor supplier delivery performance, a statistical control chart is developed based on conceptual model of how to implement in industry. Normality test is done on data and upper and lower control limits are calculated. Data gathered from supplier of a tier 1 company and out of control signals are recognized on chart. All out of control signals are removed from control chart and updated “In control” is obtained with improved mean and standard deviation. It can be employed in the industry and should result in improvement in supplier performance over time.
format Article
author Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
Mohd Yusuff, Rosnah
spellingShingle Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
Mohd Yusuff, Rosnah
An investigation on supplier delivery performance by using SPC techniques for automotive industry
author_facet Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
Mohd Yusuff, Rosnah
author_sort Darestani, Soroush Avakh
title An investigation on supplier delivery performance by using SPC techniques for automotive industry
title_short An investigation on supplier delivery performance by using SPC techniques for automotive industry
title_full An investigation on supplier delivery performance by using SPC techniques for automotive industry
title_fullStr An investigation on supplier delivery performance by using SPC techniques for automotive industry
title_full_unstemmed An investigation on supplier delivery performance by using SPC techniques for automotive industry
title_sort investigation on supplier delivery performance by using spc techniques for automotive industry
publisher Marsland Press
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/13050/1/An%20investigation%20on%20supplier%20delivery%20performance%20by%20using%20SPC%20techniques%20for%20automotive%20industry.pdf
http://psasir.upm.edu.my/id/eprint/13050/
http://www.jofamericanscience.org/journals/am-sci/am0604/
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score 13.160551