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Methodology for bottleneck identification in a production system when implementing TOC

Open Access
|Jul 2020

Figures & Tables

Fig. 1

Five Steps Cycle
Five Steps Cycle

Fig. 2

Bottleneck identification methodology in the production system
Bottleneck identification methodology in the production system

Bottleneck identification methods

NameApproachReference
Longest Queuelength of a queue analysis or a measurement of the waiting time of machinesLawrence and Buss (1994)
Longest Waiting Timerate of utilisation of machines measurementLaw and Kelton (2000)
Utilisationrate of utilisation of machines measurementHopp and Spearman (2000)
Average Active Period/Active Periodmeasurement of the machine activity continuouslyRoser et al. (2001/2002)
Process Timematerial flow time in process measurementDelpf et al. (2003)
Queue Time/Average Waiting Timethe waiting time before the process measurementFaget et al. (2005)
Inactive Periodinactive time of machine measurementSengupta et al. (2008)
Turning Pointobservation of blocking and waiting of processesLi et al. (2009)
Bottleneck Walkobservation of processes and the level of inter-process resourcesRoser et al. (2014)
Flow Constraint Analysistakt time and the resource cycle time comparisonSims and Wan (2017)
C/T Correctedcycle time and the degree of utilisation of each process measurementUrban (2019)
DOI: https://doi.org/10.2478/emj-2020-0012 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 74 - 82
Submitted on: Jan 30, 2020
Accepted on: Jun 10, 2020
Published on: Jul 23, 2020
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2020 Wieslaw Urban, Patrycja Rogowska, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.