Abstract
A relatively inexpensive and highly effective design for high precision oven was developed but the control theory and optimized parameters were totally different from traditional methodologies. Among all kinds of quality programs, lean six sigma (LSS) is the most famous and widely-used method by manufacturing and service industries. The DMAIC (Define, Measure, Analyze, Improve and Control) methodology was used to figure out the key factors relative to high precision of temperature and improve the control parameters to meet the target. At the start, the baseline of Z bench was -1.99 and standard deviation was 0.255229. After lean six sigma project implemented, Z bench was up to 3.66 and standard deviation was down to 0.12822. This paper will address the critical process and analysis method for lean six sigma project, especially those for precise temperature control.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lee, S.C., Sanches, L., Kin, F.H.: Characterization of VOCs, ozone, and PM10 emissions from office equipment in an environmental chamber. Building and Environment 36(7), 37–42 (2001)
Yu, K.P., Lee, G.W., Hsieh, C.P., Lin, C.C.: Evaluation of ozone generation and indoor oganic compounds removal by air cleaners based on chamber tests. Building and Environment 45(1), 35–42 (2011)
Yen, K.-H., Yu, B., Chiang, H., Shih, J., Wang, C.: Strength Evaluation of Acrylic Fresnel Lens in Different Temperatures for HCPV Application. In: The 4th Asian Conference on Electrochemical Power Sources (ACEPS-4), Taipei, Taiwan, November 8-12, pp. 159–160 (2009)
Huanga, J., Haoa, Y., Linb, H., Zhanga, D., Songa, J., Zhou, D.: Preparation and characteristic of the thermistor materials in the thick-film integrated temperature–humidity sensor. Materials Science and Engineering 99(1-3), 523–526 (2003)
de Koning, H., Verver, J., van den Heuvel, J., Bisgaard, S., Does, R.: Lean Six Sigma in Healthcare. Journal of Healthcare Quality 28(2), 4–11 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yen, KH., Lin, ML., Shih, HW., Wang, C. (2014). Optimization of Temperature Precision for Double-Shell Oven by Lean Six Sigma Method. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8481. Springer, Cham. https://doi.org/10.1007/978-3-319-07455-9_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-07455-9_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07454-2
Online ISBN: 978-3-319-07455-9
eBook Packages: Computer ScienceComputer Science (R0)