1998
DOI: 10.1080/002075498193048
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The effect of sudden material handling system breakdown on the performance of a JIT system

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Cited by 33 publications
(16 citation statements)
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“…Extending Gupta and Al-Turki [28], Gupta et al [29] presented a novel system called flexible kanban system (FKS), which adjusts the number of kanbans in response to variations in demand and lead times. Gupta and Al-Turki [30,31] showed that FKS is superior to traditional kanban system by considering the interruptions caused by the preventive maintenance or breakdown of the material handling system. Tardif and Maaseidvaag [32] suggested an adaptive kanban system, which adjusts the number of kanbans considering inventory and backorder levels.…”
Section: Modified Kanban Systemsmentioning
confidence: 98%
“…Extending Gupta and Al-Turki [28], Gupta et al [29] presented a novel system called flexible kanban system (FKS), which adjusts the number of kanbans in response to variations in demand and lead times. Gupta and Al-Turki [30,31] showed that FKS is superior to traditional kanban system by considering the interruptions caused by the preventive maintenance or breakdown of the material handling system. Tardif and Maaseidvaag [32] suggested an adaptive kanban system, which adjusts the number of kanbans considering inventory and backorder levels.…”
Section: Modified Kanban Systemsmentioning
confidence: 98%
“…Several modified kanban methodologies were developed to deal with demand variability while preserving the advantages of traditional kanban system. Gupta and Al-Turki [19,20,21] and Gupta et al [22] proposed the concept of the flexible kanban system (FKS) in various environments involving uncertainties and interruptions. They demonstrated that in such environments, FKS outperforms the traditional kanban system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…generating demand t 2 starting production t 3 processing t 4 production capacity variability t 5 ordering of part 2 t 6 delivery of part 2 t 7 delivery of parts 1 p 1 maximum backlogged demand p 2 backlogged demand p 3 processing p 4 available production capacity p 5 production capacity p 6 number of order for vendor 2 p 7 delivery for parts 2 p 8 available parts 2 p 9 number of order for vendor 1 p 10 available parts 1…”
Section: Supplier Kanban System Modelmentioning
confidence: 99%
“…While analytic methods provide closed-form solutions, they make limiting assumptions for processing times and demands, and are subject to statespace explosion. As a result, simulation is often the methodology of choice for modeling JIT systems [5,6,7,8,9,10]. While simulation can be used to model the system precisely, it does not, by itself, allow the determination of any qualitative properties regarding the system design (such as deadlock).…”
Section: Introductionmentioning
confidence: 99%