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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 12th February 2021, available online: http://www.tandfonline.com/10.1080/09537287.2021.1885795

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Bottleneck detection in high-variety make-to-order shops with complex routings: an assessment by simulation

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Bottleneck detection in high-variety make-to-order shops with complex routings: an assessment by simulation. / Thurer, Matthias; Ma, Lin; Stevenson, Mark et al.
In: Production Planning and Control, Vol. 33, No. 15, 31.10.2022, p. 1481-1492.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Thurer M, Ma L, Stevenson M, Roser C. Bottleneck detection in high-variety make-to-order shops with complex routings: an assessment by simulation. Production Planning and Control. 2022 Oct 31;33(15):1481-1492. Epub 2021 Feb 12. doi: 10.1080/09537287.2021.1885795

Author

Thurer, Matthias ; Ma, Lin ; Stevenson, Mark et al. / Bottleneck detection in high-variety make-to-order shops with complex routings : an assessment by simulation. In: Production Planning and Control. 2022 ; Vol. 33, No. 15. pp. 1481-1492.

Bibtex

@article{43de09e8d4254db985c6b6b860a8f963,
title = "Bottleneck detection in high-variety make-to-order shops with complex routings: an assessment by simulation",
abstract = "This study uses simulation to assess the performance of alternative methods for detecting momentary bottlenecks in high-variety contexts that produce on a to-order basis. The results suggest that using the utilisation level of a station to detect bottlenecks leads to the best performance, but that this method suffers from high nervousness. Using the active period of a station appears to be a better overall choice for practice given its good performance and low nervousness. Meanwhile, methods that focus on the workload at a station are a viable alternative, but they may become dysfunctional in shops with directed routings and a limit on the queue. This negative effect is even stronger if the corrected workload measure is used, as recently suggested in the literature on short term capacity adjustments. Finally, using the inter-departure time detection method leads to the worst performance since: (i) it counterintuitively detects non-bottlenecks instead of bottlenecks; and, (ii) it is based on historical data, leading to a response delay.",
keywords = "Theory of constraints, capacity planning, workload control, bottleneck analysis, job shop",
author = "Matthias Thurer and Lin Ma and Mark Stevenson and Christoph Roser",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 12th February 2021, available online: http://www.tandfonline.com/10.1080/09537287.2021.1885795",
year = "2022",
month = oct,
day = "31",
doi = "10.1080/09537287.2021.1885795",
language = "English",
volume = "33",
pages = "1481--1492",
journal = "Production Planning and Control",
issn = "0953-7287",
publisher = "Taylor and Francis Ltd.",
number = "15",

}

RIS

TY - JOUR

T1 - Bottleneck detection in high-variety make-to-order shops with complex routings

T2 - an assessment by simulation

AU - Thurer, Matthias

AU - Ma, Lin

AU - Stevenson, Mark

AU - Roser, Christoph

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 12th February 2021, available online: http://www.tandfonline.com/10.1080/09537287.2021.1885795

PY - 2022/10/31

Y1 - 2022/10/31

N2 - This study uses simulation to assess the performance of alternative methods for detecting momentary bottlenecks in high-variety contexts that produce on a to-order basis. The results suggest that using the utilisation level of a station to detect bottlenecks leads to the best performance, but that this method suffers from high nervousness. Using the active period of a station appears to be a better overall choice for practice given its good performance and low nervousness. Meanwhile, methods that focus on the workload at a station are a viable alternative, but they may become dysfunctional in shops with directed routings and a limit on the queue. This negative effect is even stronger if the corrected workload measure is used, as recently suggested in the literature on short term capacity adjustments. Finally, using the inter-departure time detection method leads to the worst performance since: (i) it counterintuitively detects non-bottlenecks instead of bottlenecks; and, (ii) it is based on historical data, leading to a response delay.

AB - This study uses simulation to assess the performance of alternative methods for detecting momentary bottlenecks in high-variety contexts that produce on a to-order basis. The results suggest that using the utilisation level of a station to detect bottlenecks leads to the best performance, but that this method suffers from high nervousness. Using the active period of a station appears to be a better overall choice for practice given its good performance and low nervousness. Meanwhile, methods that focus on the workload at a station are a viable alternative, but they may become dysfunctional in shops with directed routings and a limit on the queue. This negative effect is even stronger if the corrected workload measure is used, as recently suggested in the literature on short term capacity adjustments. Finally, using the inter-departure time detection method leads to the worst performance since: (i) it counterintuitively detects non-bottlenecks instead of bottlenecks; and, (ii) it is based on historical data, leading to a response delay.

KW - Theory of constraints

KW - capacity planning

KW - workload control

KW - bottleneck analysis

KW - job shop

U2 - 10.1080/09537287.2021.1885795

DO - 10.1080/09537287.2021.1885795

M3 - Journal article

VL - 33

SP - 1481

EP - 1492

JO - Production Planning and Control

JF - Production Planning and Control

SN - 0953-7287

IS - 15

ER -