Parameter Setting for Rod Push Production Process on Multiple Responses : A Case Study in Motorcycle Parts Factory

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DOI: https://doi.org/10.14456/sustj.2011.5
Keywords:
DOE central composite design Rod Push process CNC turning machine

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Erawin Thavorn
Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand. Corresponding author's e-mail: [email protected]
Prapaisri Sudasna-na-Ayudthya
Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand

Abstract

The aim of this research is to study appropriate setting of parameters in the production process ofRod Push which affect quality characteristics such as diameter and surface roughness. Cycle time is alsoconsidered. The problem was done at a study plant and it was found that the actual process capability index(Cpk) of two quality characteristics was less than the manufacturer’s standard of 1.33. Central composite designwas used to examine Rod Push produced by CNC with 5 controllable process factors including three factorsfrom rough-cutting process (spindle speed, feed rate, and depth of cut) and two factors from finish-cuttingprocess (spindle speed and feed rate). The nuisance factor of CNC was cutting tool wear. After collectingall data, the appropriate setting was investigated. The new results indicated that the new condition yieldedthe better process performance index and shorter cycle time.

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How to Cite
Thavorn, E., & Sudasna-na-Ayudthya, P. (2013). Parameter Setting for Rod Push Production Process on Multiple Responses : A Case Study in Motorcycle Parts Factory. Science, Engineering and Health Studies, 5(2), 19–25. https://doi.org/10.14456/sustj.2011.5
Issue
Volume 5, Number 2 Special issue (July - December), 2011
Section
Research Articles

References

Montgomery, D. C. (2009). Statistical Quality Control: A Modern Introduction, 6th ed., New York: John Wiley & Sons.

Montgomery, D. C. (2009). Design and Analysis of Experiment, 7th ed., New York: John Wiley & Sons.

Myers, R. H., Montgomery, D. C., and Anderson-Cook, C. M. (2008). Response Surface Methodology: Product Optimization Using Designed Experiment. 3rd ed., New York: John Wiley & Sons.

Sudasna-na-Ayudthya, P. and Luangpaiboon, P. (2008). Design and Analysis of Experiments, 1st ed., Bangkok: TOP Publishing.