 Performance improvement through statistical process control: a longitudinal studyBimal Mishra and G.S. Dangayach International Journal of Globalisation and Small Business, 2009, vol. 3, issue 1, 55-72 Abstract: Statistical Process Control (SPC) is an effective statistical tool used to prevent defects. This paper presents a longitudinal study of the application of SPC in a cigarette-manufacturing company in Nepal. The study was carried out on three cigarette-making machines, i.e., 01, 02 (plain makers) and 09 (filter cigarettes with premium brands), which have high variability in circumference. The initial data were taken on all three machines, and then special causes were eliminated. After eliminating special causes, the Cp (process capability indices) was increased for Maker-02 from 0.343 to 0.709 and for Maker-09 from 0.521 to 1.044. Thereafter, several common causes were identified and eliminated, which resulted in an increase in Cp (process capability indices) for Maker-02 up to 1.0567 from 0.343 and for Maker-01, up to 1.0372 from 0.717. Other recommendations and suggestions for preventive as well as corrective action were also made based on Failure Mode and Effect Analysis (FMEA). Keywords: statistical process control; SPC; longitudinal study; performance improvement; cigarette manufacturing; Nepal; cigarette manufacturing; process capability indices failure mode and effects analysis; FMEA. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgsbu:v:3:y:2009:i:1:p:55-72 Access Statistics for this article More articles in International Journal of Globalisation and Small Business from Inderscience Enterprises Ltd |
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