A Study on t Chart for Short-Run and Mixed Model Productions

Kai Gu; Xin Zhang Jia; Hai Long You

doi:10.4028/www.scientific.net/AMR.314-316.2478

Paper Titles

Parameter Optimization of the Sheet Metal Shearing Process in the Manufacturing of Leaf Spring Assembly Using the Grey Taguchi Method and Simulated Annealing Algorithm
p.2458

Design and Implementation of Height Detection of the Cotton Top-Cutting
p.2464

A Blending Control Aircraft Assembly Quality Method Using Key Assembly Characteristic
p.2469

Probing Active-Area Shift with Improved Kelvin Measurement for Trench DRAM
p.2474

A Study on t Chart for Short-Run and Mixed Model Productions
p.2478

Support Vector Data Description Based Multivariate Cumulative Sum Control Chart
p.2482

Design of Medical Wireless Sensor Network
p.2486

The Study on RFID Middleware for Real-Time Monitoring in Manufacturing
p.2491

Design of Stable Image Platform on Airborne Camera
p.2495

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316A Study on t Chart for Short-Run and Mixed Model...

A Study on t Chart for Short-Run and Mixed Model Productions

Abstract:

At present a wide variety of mixed products with small batch sizes is one of the manufacturing modes in modern production. It is difficult to apply traditional Shewhart’s control charts efficiently and effectively in such environments. In this paper, we propose a t chart for monitoring a process which has the characteristics of not only being short run but also with mixed product. This new t chart is used to monitor the process mean for two illustrative examples and it is shown that this chart can work effectively in short run manufacturing for mixed product.

You might also be interested in these eBooks

Advanced Manufacturing Technology, ADME 2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

2478-2481

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.314-316.2478

Citation:

Cite this paper

Online since:

August 2011

Authors:

Kai Gu, Xin Zhang Jia, Hai Long You

Keywords:

Control Chart, Mixed Model, Short Run, T Distribution

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Montgomery DC. Introduction to Statistical Quality Control (5th edn). Wiley: NY, U.S.A. (2005)

Google Scholar

[2] Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye. Probability & Statistics for Engineers & Scientists (8th edn). Prentice Hall: NJ,U.S.A. (2006)

Google Scholar

[3] Hillier FS. X and R chart control limits based on a small number of subgroups. Journal of Quality Technology (1969)

Google Scholar

[4] Quesenberry CP. SPC Q charts for start-up processes and short or long runs. Journal of Quality Technology; 23:213-224 (1991)

DOI: 10.1080/00224065.1991.11979327

Google Scholar

[5] Del Castillo E, Montgomery DC. Short-run statistical process control: Q chart enhancements and alternative methods. Quality and Reliability Engineering International; 10:87-97 (1994)

DOI: 10.1002/qre.4680100203

Google Scholar

[6] Celano, G., Castagliola, P., Trovato, E. and Fichera, S. Shewhart and EWMA t control charts for short production runs. Quality and Reliability Engineering International, 27: 313–326. doi: 10.1002/qre.1121 (2011)

DOI: 10.1002/qre.1121

Google Scholar

[7] Zhang, L., Chen, G. and Castagliola, P. On t and EWMA t charts for monitoring changes in the process mean.Quality and Reliability Engineering International, 25:933–945. doi:10.1002/qre.1012 (2009)

DOI: 10.1002/qre.1012

Google Scholar