TY - GEN
T1 - The Use of Quality Control Tools for Continuous Improvement
T2 - 29th International Conference on Engineering, Technology, and Innovation, ICE 2023
AU - Mabokela, Motlatso Malebo
AU - Sukdeo, Nita Inderlal
AU - Akilimalissiga, Save
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Organisations use quality tools to promote continual improvement across all functional areas and ultimately provide high-quality products and services. The primary goal of this paper is to demonstrate the significance of quality standard tools for evaluating and monitoring the improvement of an organisation, with a focus on the manufacturing industry in South Africa. These tools are essential and used in various sectors worldwide, mainly for continuous quality improvement purposes. Hence, the conceptual emphasis was made on check sheets, histograms, Pareto charts, fishbone/cause-and-effect diagrams, control charts, flowcharts, and scatter Diagrams, PDCA, DMAIC and Six Sigma, which constitute the statistical process control (SPC) package used to evaluate and monitor continuous improvement approach in an organisation's processes. These tools are used at various stages of the process to define problems, quantify their effects, identify root causes, and provide concrete solutions to solve them in order to ensure that production processes are free from non-conforming products. At this end, the scope of this paper will look into how statistical process control tools are vital and efficient in detecting and eliminating defects from the manufacturing process and provide some form of ranking to streamline the importance of each tool against others. Nevertheless, the analysis has revealed that as much as these tools are essential, the control charts are ranked top of the list as one of the most used SPC tools when it comes to promoting continuous quality improvement.
AB - Organisations use quality tools to promote continual improvement across all functional areas and ultimately provide high-quality products and services. The primary goal of this paper is to demonstrate the significance of quality standard tools for evaluating and monitoring the improvement of an organisation, with a focus on the manufacturing industry in South Africa. These tools are essential and used in various sectors worldwide, mainly for continuous quality improvement purposes. Hence, the conceptual emphasis was made on check sheets, histograms, Pareto charts, fishbone/cause-and-effect diagrams, control charts, flowcharts, and scatter Diagrams, PDCA, DMAIC and Six Sigma, which constitute the statistical process control (SPC) package used to evaluate and monitor continuous improvement approach in an organisation's processes. These tools are used at various stages of the process to define problems, quantify their effects, identify root causes, and provide concrete solutions to solve them in order to ensure that production processes are free from non-conforming products. At this end, the scope of this paper will look into how statistical process control tools are vital and efficient in detecting and eliminating defects from the manufacturing process and provide some form of ranking to streamline the importance of each tool against others. Nevertheless, the analysis has revealed that as much as these tools are essential, the control charts are ranked top of the list as one of the most used SPC tools when it comes to promoting continuous quality improvement.
KW - Continuous improvement
KW - Continuous quality improvement
KW - manufacturing industry
KW - SPC tools
KW - Statistical Process control (SPC)
UR - http://www.scopus.com/inward/record.url?scp=85181130727&partnerID=8YFLogxK
U2 - 10.1109/ICE/ITMC58018.2023.10332376
DO - 10.1109/ICE/ITMC58018.2023.10332376
M3 - Conference contribution
AN - SCOPUS:85181130727
T3 - Proceedings of the 29th International Conference on Engineering, Technology, and Innovation: Shaping the Future, ICE 2023
BT - Proceedings of the 29th International Conference on Engineering, Technology, and Innovation
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 June 2023 through 22 June 2023
ER -