Establishing an optimal quality planning decision through discrete event simulation: Analysis case study

Random in-process quality control (IPQC) is conducted in one of the departments in a circuit board manufacturing company, Company A, which produces high-mixed products, and results in complete failure of ensuring the quality of parts produced. Consequently, defects occur on the parts produced, leadi...

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Main Authors: Suki, N.S.A., Yee, O.H., Kamaruddin, S., Bakar, E.A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25758 /
Published: Penerbit UTM Press 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976384923&doi=10.11113%2fjt.v78.3322&partnerID=40&md5=28f6c7dc1e0981be6f50c321c2411bff
http://eprints.utp.edu.my/25758/
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spelling utp-eprints.257582021-08-27T13:05:17Z Establishing an optimal quality planning decision through discrete event simulation: Analysis case study Suki, N.S.A. Yee, O.H. Kamaruddin, S. Bakar, E.A. Random in-process quality control (IPQC) is conducted in one of the departments in a circuit board manufacturing company, Company A, which produces high-mixed products, and results in complete failure of ensuring the quality of parts produced. Consequently, defects occur on the parts produced, leading to high rejection rate. This high rejection rate eventually results in high cost of non-value-added activities, which include rework of rejected parts. This paper introduces quality planning to ensure the quality of work-in-progress (WIP) parts in the production with discrete event simulation (DES) software. A series of experiments is conducted by using varying parameters, including flow patterns of parts in the shop floor and number of IPQC inspector, to assess the significance of these parameters on the performance measures relevant to quality perspective. Statistical analysis is conducted on the simulation results via ANOVA. Findings from this research prove that varying the parameters has a significant effect on the performance measures. © 2016 Penerbit UTM Press. All rights reserved. Penerbit UTM Press 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976384923&doi=10.11113%2fjt.v78.3322&partnerID=40&md5=28f6c7dc1e0981be6f50c321c2411bff Suki, N.S.A. and Yee, O.H. and Kamaruddin, S. and Bakar, E.A. (2016) Establishing an optimal quality planning decision through discrete event simulation: Analysis case study. Jurnal Teknologi, 78 (7). pp. 149-160. http://eprints.utp.edu.my/25758/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Random in-process quality control (IPQC) is conducted in one of the departments in a circuit board manufacturing company, Company A, which produces high-mixed products, and results in complete failure of ensuring the quality of parts produced. Consequently, defects occur on the parts produced, leading to high rejection rate. This high rejection rate eventually results in high cost of non-value-added activities, which include rework of rejected parts. This paper introduces quality planning to ensure the quality of work-in-progress (WIP) parts in the production with discrete event simulation (DES) software. A series of experiments is conducted by using varying parameters, including flow patterns of parts in the shop floor and number of IPQC inspector, to assess the significance of these parameters on the performance measures relevant to quality perspective. Statistical analysis is conducted on the simulation results via ANOVA. Findings from this research prove that varying the parameters has a significant effect on the performance measures. © 2016 Penerbit UTM Press. All rights reserved.
format Article
author Suki, N.S.A.
Yee, O.H.
Kamaruddin, S.
Bakar, E.A.
spellingShingle Suki, N.S.A.
Yee, O.H.
Kamaruddin, S.
Bakar, E.A.
Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
author_sort Suki, N.S.A.
title Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
title_short Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
title_full Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
title_fullStr Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
title_full_unstemmed Establishing an optimal quality planning decision through discrete event simulation: Analysis case study
title_sort establishing an optimal quality planning decision through discrete event simulation: analysis case study
publisher Penerbit UTM Press
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976384923&doi=10.11113%2fjt.v78.3322&partnerID=40&md5=28f6c7dc1e0981be6f50c321c2411bff
http://eprints.utp.edu.my/25758/
_version_ 1741197027904061440
score 11.62408

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