Resource breakdown modelling and performance maximisation of a multiple product flexible manufacturing system

Aized, Tauseef; Takahashi, Koji; Hagiwara, Ichiro; Morimura, Hiroaki

doi:10.1504/ijise.2008.017423

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…Gougar et al (2002) present a study of the application of ultra-fast material transfer system for tool delivery, where cutting tools are delivered to and from machines instantaneously from a central tool storage area. Aized et al (2008) analyse the performance of a pull-type multiproduct, multi-line and multi-stage FMS whose resources are subject to breakdown conditions. Fathi and Barnette (2002) address the problem of scheduling a set of parts with given processing times and tool requirements on identical parallel machines.…”

Section: Background For the Researchmentioning

confidence: 99%

“…Flexibility is becoming one of the most critical factors for success in the manufacturing industry (Aldaihani and Savsar, 2008;Boppana et al, 2007). In this context, the design and the management of FMS are crucial and important issues (Aized et al, 2008;Ujvari and Hilmola, 2008). In this context, the design and the management of FMS are crucial and important issues (Aized et al, 2008;Ujvari and Hilmola, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Simulation-based comparative analysis of the performance of a flexible manufacturing system operating under part movement policy and tool movement policy

Kumar¹,

Sridharan

2011

IJISE

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This paper focuses on the simulation studies conducted to evaluate the performance of a flexible manufacturing system (FMS) operating under two different scenarios: part movement policy and tool movement policy. A typical configuration of an FMS is considered for the purpose of experimentation. A discrete-event simulation model of the FMS is developed for each of the two scenarios. A number of scheduling rules are incorporated in the simulation model for part scheduling decision. The performance measures considered are mean flow time, mean tardiness, percentage of tardy parts and mean utilisation of machines. The simulation results are subjected to statistical analysis. For the FMS considered in this study, tool movement policy is found to perform significantly better when compared with the part movement policy.

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Section: Background For the Researchmentioning

confidence: 99%