TY - GEN
T1 - Multi-attribute control chart design for bronze pipe fittings production
AU - Sanditya Hardaya, I. B.N.
AU - Setyana, Aditya Putra
AU - Prajitno, Isti Surjandari
AU - Dhini, Arian
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2016
Y1 - 2016
N2 - Quality becomes one of the most important factors for sustaining company competitiveness in this intense industry competition. To control the quality of the ongoing production process, the common method used is Statistical Process Control (SPC), which is basically part of Statistical Quality Control (SQC). The primary tool used in SPC is control chart. Many companies conduct quality control by performing inspections of product defect with more than one defect attributes, or multi-attribute. Such conditions require the use of multi-attribute control chart. However, unlike the research developments in the field of multivariate control charts, little research has been done in the field of multi-attribute control charts. This research proposed a framework of statistical process control for some simultaneously correlated defect characteristics on bronze pipe fittings production process using multivariate np chart (MNP chart). The MNP chart consists of Phase I as the formulation of the initial control limits using the preliminary sample and Phase II as a reference for future statistical process control. The result of Phase I and II of the multiattribute control chart application indicates that there were out-of-control processes, to then be identified and analyzed the main contributor of the cause.
AB - Quality becomes one of the most important factors for sustaining company competitiveness in this intense industry competition. To control the quality of the ongoing production process, the common method used is Statistical Process Control (SPC), which is basically part of Statistical Quality Control (SQC). The primary tool used in SPC is control chart. Many companies conduct quality control by performing inspections of product defect with more than one defect attributes, or multi-attribute. Such conditions require the use of multi-attribute control chart. However, unlike the research developments in the field of multivariate control charts, little research has been done in the field of multi-attribute control charts. This research proposed a framework of statistical process control for some simultaneously correlated defect characteristics on bronze pipe fittings production process using multivariate np chart (MNP chart). The MNP chart consists of Phase I as the formulation of the initial control limits using the preliminary sample and Phase II as a reference for future statistical process control. The result of Phase I and II of the multiattribute control chart application indicates that there were out-of-control processes, to then be identified and analyzed the main contributor of the cause.
KW - Correlated Defect
KW - Multi-Attribute Control Chart
KW - Quality Control
UR - http://www.scopus.com/inward/record.url?scp=85018411278&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85018411278
SN - 9780985549749
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 1157
EP - 1166
BT - 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
PB - IEOM Society
T2 - 6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
Y2 - 8 March 2016 through 10 March 2016
ER -