A method for reducing inter-departure time variability in serial production lines

Kalir, Adar A.; Sarin, Subhash C.

doi:10.1016/j.ijpe.2008.11.016

Cited by 18 publications

(17 citation statements)

References 19 publications

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“…This was noted by Erel et al (2004) who studied interdeparture time variability of finished goods, and by Kalir and Sarin (2009) who proposed a method of reducing interdeparture time variability of finished goods. Others who have looked at interdeparture time have also focused on variability of finished goods completion, that is, interdeparture time at the last station.…”

Section: Bottleneck Detection Using Interdeparture Time Variancementioning

confidence: 83%

Detecting bottlenecks in serial production lines – a focus on interdeparture time variance

Betterton

Silver

2012

International Journal of Production Research

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This work addresses an important problem in industry -locating the bottleneck in a production line -and suggests a practical approach to accomplish that end. We describe and validate, using discrete event simulation, a novel method of bottleneck detection in open, asynchronous serial production lines with finite buffers. The technique uses a single measure -station interdeparture time variance -to locate the system bottleneck. The proposed method is compared to other bottleneck detection approaches and it is shown that the proposed method performs as well and sometimes better than other methods. We conclude that the proposed approach has a number of significant advantages. It is easy to use and implement, not requiring data about failure and repair times, raw process times, buffer sizes, etc., but instead uses a single piece of easily obtained real-time production line data -station work-in-process (WIP) interdeparture time. The proposed method can identify production constraints without the need to build an analytical or simulation model, is well suited for use in industry, and can be readily implemented in standard simulation tools.

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Section: Bottleneck Detection Using Interdeparture Time Variancementioning

confidence: 83%

Detecting bottlenecks in serial production lines – a focus on interdeparture time variance

Betterton

Silver

2012

International Journal of Production Research

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“…The predictive formulae of Martin (1993) are realistic and accurate but likewise refer to asynchronous lines. Kalir and Sarin (2009) provide an analytic result for the special case of an unpaced synchronous transfer line having identical stations with uniformly distributed process times and no failures, for which they have shown that the mean interdeparture time (cycle time) of a K-station line is:…”

Section: Literature Review 21 Literature On Synchronous Transfer Linesmentioning

confidence: 99%

“…These two approaches are summarised in Table 1. For uncoupled lines there are no general formulas for obtaining throughput. One exception is the special case of identical stations with uniformly distributed process times and no failures (Kalir and Sarin 2009). Beyond this limited case, there are no explicit formulas for unpaced transfer line throughput.…”

Section: Obtaining Throughput Estimates For Synchronous Transfer Linesmentioning

confidence: 99%

“…We used these parameter values in several different distributions for the Monte Carlo simulations. Because the line in this example has identical stations, the Kalir and Sarin (2009) analytical formula is applicable, however to avoid a negative lower limit for the uniform distribution, the formula can be applied only for raw process times of 20 and greater. We found that the Monte Carlo throughput estimates conformed with results of the Kalir and Sarin predictive formula.…”

Section: Candd Examplementioning

confidence: 99%

“…We compared results from our approach to the exact analytical values available from Kalir and Sarin's (2009) formula. Since this formula applies only to lines having identical stations with uniformly distributed process times and no failures (case 2a lines), there is no need to create an equivalent line.…”

Section: Comparison With Kalir and Sarinmentioning

confidence: 99%

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Production rate of synchronous transfer lines using Monte Carlo simulation

Betterton

Cox

2012

International Journal of Production Research

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In this paper, we consider unpaced synchronous transfer lines producing a single product. The transfer line stations are arranged in a series conEguration, have no buffers, and are subject to operation-dependent failures. Throughput is an important performance measure for transfer lines, and we have adopted that measure. Analytical methods for determining capacity of such transfer lines are available only for the simplest systems, but we show Monte Carlo simulation to be a fast, flexible, easy, and accurate method of estimating throughput in lines of any length and having a wide range of operating characteristics.

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Throughput Analysis of the Overhaul Line of a Repair Depot

2020

Repairable Systems Reliability Analysis

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A method for reducing inter-departure time variability in serial production lines

Cited by 18 publications

References 19 publications

Detecting bottlenecks in serial production lines – a focus on interdeparture time variance

Detecting bottlenecks in serial production lines – a focus on interdeparture time variance

Production rate of synchronous transfer lines using Monte Carlo simulation

Throughput Analysis of the Overhaul Line of a Repair Depot

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