SPC in service industry: case in teaching and learning process variability monitoring

Statistical Process Control (SPC) technique have long been developed and implemented for quality improvements in manufacturing process. However, it is not so developed in service industry and particularly in teaching and learning process. On the other hand, it is easier to monitor manufacturing...

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Main Authors: Zolkepley, Z., Djauhari, M. A., Salleh, R. M.
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.uthm.edu.my/7016/1/P9918_94f616be4da36eb005c3daf2317cf94f.pdf
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author Zolkepley, Z.
Djauhari, M. A.
Salleh, R. M.
author_facet Zolkepley, Z.
Djauhari, M. A.
Salleh, R. M.
author_sort Zolkepley, Z.
collection UTHM
description Statistical Process Control (SPC) technique have long been developed and implemented for quality improvements in manufacturing process. However, it is not so developed in service industry and particularly in teaching and learning process. On the other hand, it is easier to monitor manufacturing industrial process than monitoring teaching and learning process. In the former, the sub-group size is small and constant while in the latter, it is large and non�constant. In this paper we focus on analyzing the disparity of teaching and learning process variability among classes in a Sekolah Menengah Kebangsaan using the improved generalized variance chart. For that purpose, the appropriate control limits will be developed such that it can be used for general sampling design. The result will be used to monitor the variability of teaching and learning process. A diagnostic tool will also be delivered to understand why, if any, a class is out-of-control.
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spelling uthm.eprints-70162022-05-24T01:27:39Z http://eprints.uthm.edu.my/7016/ SPC in service industry: case in teaching and learning process variability monitoring Zolkepley, Z. Djauhari, M. A. Salleh, R. M. LB2331.7-2335.8 Teaching personnel Statistical Process Control (SPC) technique have long been developed and implemented for quality improvements in manufacturing process. However, it is not so developed in service industry and particularly in teaching and learning process. On the other hand, it is easier to monitor manufacturing industrial process than monitoring teaching and learning process. In the former, the sub-group size is small and constant while in the latter, it is large and non�constant. In this paper we focus on analyzing the disparity of teaching and learning process variability among classes in a Sekolah Menengah Kebangsaan using the improved generalized variance chart. For that purpose, the appropriate control limits will be developed such that it can be used for general sampling design. The result will be used to monitor the variability of teaching and learning process. A diagnostic tool will also be delivered to understand why, if any, a class is out-of-control. 2018 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/7016/1/P9918_94f616be4da36eb005c3daf2317cf94f.pdf Zolkepley, Z. and Djauhari, M. A. and Salleh, R. M. (2018) SPC in service industry: case in teaching and learning process variability monitoring. In: The Twenty Fifth National Symposium on Mathematical SciencesAt: Malaysia, 27-29 August 2017, Pahang. https://doi.org/10.1063/1.5041700
spellingShingle LB2331.7-2335.8 Teaching personnel
Zolkepley, Z.
Djauhari, M. A.
Salleh, R. M.
SPC in service industry: case in teaching and learning process variability monitoring
title SPC in service industry: case in teaching and learning process variability monitoring
title_full SPC in service industry: case in teaching and learning process variability monitoring
title_fullStr SPC in service industry: case in teaching and learning process variability monitoring
title_full_unstemmed SPC in service industry: case in teaching and learning process variability monitoring
title_short SPC in service industry: case in teaching and learning process variability monitoring
title_sort spc in service industry case in teaching and learning process variability monitoring
topic LB2331.7-2335.8 Teaching personnel
url http://eprints.uthm.edu.my/7016/1/P9918_94f616be4da36eb005c3daf2317cf94f.pdf
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