Research Papers

Standalone Throughput Analysis on the Wave Propagation of Disturbances in Production Sub-Systems

[+] Author and Article Information
Yang Li

e-mail: Yang.li.3@stonybrook.edu

Qing Chang

e-mail: qing.chang@stonybrook.edu

Michael P. Brundage

e-mail: Michael.Brundage@stonybrook.edu
Department of Mechanical Engineering,
State University of New York at Stony Brook,
Stony Brook, NY 11794-2300

Guoxian Xiao

Manufacturing Systems Research Lab, General Motors Research and Development Center,
30500 Mound Road, Warren, MI 48090
e-mail: guoxian.xiao@gm.com

Stephan Biller

GE Global Research Center,
1 Research Circle, Niskayuna, NY 12309
e-mail: biller@ge.com

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received April 19, 2012; final manuscript received May 14, 2013; published online September 11, 2013. Assoc. Editor: Steven J. Skerlos.

J. Manuf. Sci. Eng 135(5), 051001 (Sep 11, 2013) (9 pages) Paper No: MANU-12-1117; doi: 10.1115/1.4024815 History: Received April 19, 2012; Revised May 14, 2013

Standalone throughput (SAT) of a single station is one of the most widely used performance indexes in industry due to its clear definition, ease of evaluation and the ability to provide a guidance for continuous improvement in production systems. A complex multistage manufacturing system is typically segmented into several subsystems for efficient local management. It is important to evaluate performance of each subsystem to improve overall system productivity. However, the definition of standalone throughput of a production subsystem is not as clear as for a single station in current literatures or in practice, not to say an effective evaluation method. This paper deals with the standalone throughput of a serial production line segment. The definition and implication of standalone throughput of a line segment is discussed. A data driven method is developed based on online production data and is proved analytically under a practical assumption. In addition, the method is verified through simulation case studies to be an accurate and fast estimation of the standalone throughput of a production line segment.

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Grahic Jump Location
Fig. 1

A serial production line with M stations and M − 1 buffers, with a line segment l from Sl1 to Slm

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Fig. 2

The production system with a serial production line segment l

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Fig. 3

Estimation using Eq. (11) versus Definition 1 in case 1

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Fig. 4

Estimation using Eq. (11) versus Definition 1 in case 2

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Fig. 10

Estimation using Eq. (11) versus Definition 1 in case 8

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Fig. 11

Estimation using Eq. (11) versus Definition 1 in case 9

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Fig. 5

Estimation using Eq. (11) versus Definition 1 in case 3

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Fig. 6

Estimation using Eq. (11) versus Definition 1 in case 4

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Fig. 7

Estimation using Eq. (11) versus Definition 1 in case 5

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Fig. 8

Estimation using Eq. (11) versus Definition 1 in case 6

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Fig. 9

Estimation using Eq. (11) versus Definition 1 in case 7




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