Application of Control Algorithms and Statistical Methods for Work-in-Progress Management in Discrete Production Systems

C.F. Guo; C.X. Gu

doi:10.4028/www.scientific.net/MSF.626-627.723

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HomeMaterials Science ForumMaterials Science Forum Vols. 626-627Application of Control Algorithms and Statistical...

Application of Control Algorithms and Statistical Methods for Work-in-Progress Management in Discrete Production Systems

Abstract:

A new kind of work-in-progress control system (I-WCS) is proposed, in which two control algorithms, the proportional & integral control (PI) and the statistical process control (SPC) are integrated to maintain a reasonable amount of work-in-progress (WIP) in discrete manufacturing systems. Taking the production line of certain motorcycle engines’ crankcases as an example, its I-WCS system is proposed. It consists of two integrated controllers, which are able to collect real-time production data, draw Shewhart control charts, and get these charts analyzed and acquire real production scheduling schemes. Simulation results show that I-WCS can maintain lower and steadier WIP in production lines so as to improve the ability of on-time delivery.

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Advances in Materials Manufacturing Science and Technology XIII Volume I

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Periodical:

Materials Science Forum (Volumes 626-627)

Pages:

723-728

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.626-627.723

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Online since:

August 2009

Authors:

C.F. Guo, C.X. Gu

Keywords:

Discrete Manufacturing, Modeling, Simulation, Work-in-Progress Control

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References

[1] Y. Monden: Toyota Production Systems (Industrial Engineering and Management Press, Institute of Industrial Engineers, America, 1983).

Google Scholar

[2] M.L. Spearman, D. L Woodruff and W.J. Hopp: International Journal of Production Research, Vol. 28 (5) (1990), p.879.

Google Scholar

[3] A.M. Bonvik, C.E. Couch and S. B Gershwin: International Journal of Production Research, Vol. 35 (3) (1997), p.789.

Google Scholar

[4] H. Lődding, K.W. Yu and H.P. Wiendahl: Production Planning & Control, Vol. 14 (1) (2003), p.42.

Google Scholar

[5] C.F. Guo, Z.R. Wang: Journal of Southeast JiaoTong University, Vol. 14 (4) (2006), p.331.

Google Scholar

[6] C.F. Guo: Machinery, 2006/04, p.16 (in Chinese).

Google Scholar

[7] C.F. Guo: Research on WIP Control Technologies in the Production Logistics Control System (Ph.D., Nanjing University of Aeronautics and Astronautics, 2005) (in Chinese).

Google Scholar