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
Accepted author manuscript, 1.39 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -