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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Marsland Press
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/13050/ http://psasir.upm.edu.my/id/eprint/13050/1/An%20investigation%20on%20supplier%20delivery%20performance%20by%20using%20SPC%20techniques%20for%20automotive%20industry.pdf |
| _version_ | 1848842005604466688 |
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| author | Darestani, Soroush Avakh Ismail, Md. Yusof Ismail, Napsiah Mohd Yusuff, Rosnah |
| author_facet | Darestani, Soroush Avakh Ismail, Md. Yusof Ismail, Napsiah Mohd Yusuff, Rosnah |
| author_sort | Darestani, Soroush Avakh |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T07:52:15Z |
| format | Article |
| id | upm-13050 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:52:15Z |
| publishDate | 2010 |
| publisher | Marsland Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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/ |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/13050/ http://psasir.upm.edu.my/id/eprint/13050/ http://psasir.upm.edu.my/id/eprint/13050/1/An%20investigation%20on%20supplier%20delivery%20performance%20by%20using%20SPC%20techniques%20for%20automotive%20industry.pdf |