Issues and opportunities regarding replanning and rescheduling frequencies

Hozak, Kurt; Hill, James W.

doi:10.1080/00207540802047106

Cited by 39 publications

(17 citation statements)

References 29 publications

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“…et al, 2007), and dynamic improvements in production planning (Brewer andSloan 1999, Li et al 2006). Recently, (Hozak and Hill 2008) showed how ideal frequencies of production rescheduling may be concluded through the use of timely information provided by RFID technology. Other innovative applications include automated control (Keskilammi et al 2003, Thiesse et al 2006, and intelligent products (McFarlane et al 2003, Zhekun et al 2004, Kärkkäinen 2003.…”

Section: Related Workmentioning

confidence: 99%

RFID opportunity analysis for leaner manufacturing

Brintrup

Ranasinghe

McFarlane

2009

International Journal of Production Research

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Section: Related Workmentioning

confidence: 99%

RFID opportunity analysis for leaner manufacturing

Brintrup

Ranasinghe

McFarlane

2009

International Journal of Production Research

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“…In fact, t 0 is a variable time since the dispatching support tool could be run periodically or event-based (discussions on rescheduling under uncertainty can be found e.g. in [21,1,11]). In general, important parameters for choosing the frequency of rescheduling are the traffic prediction horizon T, the accuracy of the simulation procedure and the robustness against random variations in the dynamic traffic flow evolution.…”

Section: Discussion On Real-time Dynamic Settingmentioning

confidence: 99%

Effectiveness of dynamic reordering and rerouting of trains in a complicated and densely occupied station area

Corman

D’Ariano

Pranzo

et al. 2011

Transportation Planning and Technology

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Railway traffic experiences disturbances during operations while dispatchers need actions to restore feasibility and limit spreading of delays through the network. To help the dispatcher in such task, the dispatching support tool ROMA (Railway traffic Optimization by Means of Alternative graphs) has been designed and implemented. We report on enhancements to the underlaying train dispatching model as well as to the solving algorithms studied in order to tackle the increased complexity of busy stations with multiple conflicting paths and high service frequency. The system is compared with straightforward rules and the current approach in the Netherlands. Extensive computational studies based on accepted statistical distributions of delays assess the effectiveness of the ROMA tool.

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“…Under the event driven rescheduling policy, rescheduling actions are taken every time the system is aected by unexpected events and a hybrid rescheduling policy reschedules the system periodically and also when special (or major) events take place. Hozak and Hill (2009) address the impact of replanning and rescheduling frequencies on the system performance and highlight the pros and cons of frequent rescheduling actions.…”

Section: Terminology Denitionmentioning

confidence: 99%

Flow shop rescheduling under different types of disruption

Katragjini

Vallada

Ruíz

2013

International Journal of Production Research

112

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Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected disruptions that may invalidate the original schedules. In these cases, rescheduling is essential for minimizing the impact on the performance of the system. In this work we consider owshop layouts that have been seldom studied in the rescheduling literature. We generate and employ three types of disruptions that interrupt the original schedules simultaneously. We develop rescheduling algorithms to nally accomplish the twofold objective of establishing a standard framework on the one hand and of proposing rescheduling methods that seek a good trade-o between schedule quality and stability on the other hand.

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Issues and opportunities regarding replanning and rescheduling frequencies

Cited by 39 publications

References 29 publications

RFID opportunity analysis for leaner manufacturing

RFID opportunity analysis for leaner manufacturing

Effectiveness of dynamic reordering and rerouting of trains in a complicated and densely occupied station area

Flow shop rescheduling under different types of disruption

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