Improving the statistical process control chart by applying a DNOM chart for multiprocessor products

Statistical control charts generally study only one property. The purpose of this research was thus to generate a control chart for a full set of properties for the product of the multiprocessors executing the operation of a lathe machine. In short-term production, there is often insufficient data i...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-11, Vol.433 (1), p.12068
Main Authors: Alkhafaji, Ahmed Abdulrasool, Al Obeidy, Nawres Qasim
Format: Article
Language:English
Subjects:
Capability indices
Control charts
Drilling
Indicators
Multiprocessing
Parameter estimation
Process Capability Indices
Process controls
short run production
Specifications
Statistical process control
statistical process control (SPC)
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Summary:Statistical control charts generally study only one property. The purpose of this research was thus to generate a control chart for a full set of properties for the product of the multiprocessors executing the operation of a lathe machine. In short-term production, there is often insufficient data in each product run to achieve an ideal estimate of operation parameters, which can result in reduced performance and inefficient control charts. A case study research methodology was applied in the Al-Noaman factory. Minitab-17 Software was used to calculate and plot control charts and to analyse the process capability index. The results of process capability (Cp) for three processes (drilling, face, and external length) were equal to 0.828, with the third process giving an external diameter equal to 0.248. Another index (Cpk) for shifting indicators, gave results for the lower specification limits for drilling and external diameter processes, while the other processes, face and external length, shifted towards the upper specification limit. The Cpm indicators showed the same behavior for Cp, and the Cpkm indicator gave results that suggested the same behavior as the Cpk.
ISSN:1757-8981
1757-899X
1757-899X
DOI:10.1088/1757-899X/433/1/012068