Recognition of nonrandom patterns on supply performance by employing statistical monitoring

This paper introduces a practical methodology of assign able signals and Run chart tests for identification of nonrandom patterns of supplier performance by statistical monitoring. The assumption of normal distribution is one of the important factors to implement a control chart in industry and...

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Main Authors: Darestani, Soroush Avakh, Ismail, Md. Yusof, Ismail, Napsiah
Format: Article
Language:English
Published: Marsland Press 2010
Online Access:http://psasir.upm.edu.my/id/eprint/16447/
http://psasir.upm.edu.my/id/eprint/16447/1/Recognition%20of%20nonrandom%20patterns%20on%20supply%20performance%20by%20employing%20statistical%20monitoring.pdf
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author Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
author_facet Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
author_sort Darestani, Soroush Avakh
building UPM Institutional Repository
collection Online Access
description This paper introduces a practical methodology of assign able signals and Run chart tests for identification of nonrandom patterns of supplier performance by statistical monitoring. The assumption of normal distribution is one of the important factors to implement a control chart in industry and service. It is supposed that natural data shows lack of any nonrandom pattern signals or out of control points on control chart. The data of supplier’s on-time delivery for automotive industry has been gathered and illustrated on control chart by employing appropriate transformation and assignable signals and run chart were tested on the control chart accordingly. The results show that tests were able to identify nonrandom patterns of supplier performance data. Out of control signals were removed from the control chart and show that on-time delivery performance was increased accordingly. The control chart with natural pattern can be used as pilot for monitoring supplier delivery over time and improve supplier delivery performance.
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institution Universiti Putra Malaysia
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language English
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publishDate 2010
publisher Marsland Press
recordtype eprints
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spelling upm-164472018-05-28T07:02:25Z http://psasir.upm.edu.my/id/eprint/16447/ Recognition of nonrandom patterns on supply performance by employing statistical monitoring Darestani, Soroush Avakh Ismail, Md. Yusof Ismail, Napsiah This paper introduces a practical methodology of assign able signals and Run chart tests for identification of nonrandom patterns of supplier performance by statistical monitoring. The assumption of normal distribution is one of the important factors to implement a control chart in industry and service. It is supposed that natural data shows lack of any nonrandom pattern signals or out of control points on control chart. The data of supplier’s on-time delivery for automotive industry has been gathered and illustrated on control chart by employing appropriate transformation and assignable signals and run chart were tested on the control chart accordingly. The results show that tests were able to identify nonrandom patterns of supplier performance data. Out of control signals were removed from the control chart and show that on-time delivery performance was increased accordingly. The control chart with natural pattern can be used as pilot for monitoring supplier delivery over time and improve supplier delivery performance. Marsland Press 2010-04 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16447/1/Recognition%20of%20nonrandom%20patterns%20on%20supply%20performance%20by%20employing%20statistical%20monitoring.pdf Darestani, Soroush Avakh and Ismail, Md. Yusof and Ismail, Napsiah (2010) Recognition of nonrandom patterns on supply performance by employing statistical monitoring. Journal of American Science, 6 (4). pp. 114-122. ISSN 1545-1003; ESSN: 2375-7264 http://www.jofamericanscience.org/journals/am-sci/am0604/ 10.7537/marsjas060410.17
spellingShingle Darestani, Soroush Avakh
Ismail, Md. Yusof
Ismail, Napsiah
Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title_full Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title_fullStr Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title_full_unstemmed Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title_short Recognition of nonrandom patterns on supply performance by employing statistical monitoring
title_sort recognition of nonrandom patterns on supply performance by employing statistical monitoring
url http://psasir.upm.edu.my/id/eprint/16447/
http://psasir.upm.edu.my/id/eprint/16447/
http://psasir.upm.edu.my/id/eprint/16447/
http://psasir.upm.edu.my/id/eprint/16447/1/Recognition%20of%20nonrandom%20patterns%20on%20supply%20performance%20by%20employing%20statistical%20monitoring.pdf