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A simulation analysis for evaluating TFT-LCD fab capacity expansion with a distant transportation problem
19
Citations
31
References
2013
Year
EngineeringEntire Fabrication FacilitySmart ManufacturingSimulationDistant Transportation ProblemOperations ResearchSimulation AnalysisDisplay TechnologyLogisticsSystems EngineeringModeling And SimulationAbstractcapacity PlanningQuantitative ManagementCapacity ManagementExpansion FabsElectrical EngineeringDesignComputer EngineeringManufacturing PlanningCapacity PlanningManufacturing SystemsProduction PlanningProduction SchedulingBusiness
AbstractCapacity planning for large-scale high-tech manufacturing processes such as semiconductor manufacturing and thin film transistor-liquid crystal display (TFT-LCD) using simulation of an entire fabrication facility (fab) requires a large computational effort and thus few studies have been in real settings. To address the needs of a realistic problem, this study aimed to develop an effective approach based on a discrete-event simulation model for evaluating the throughput, cycle time and utilisation in an integrated fab to integrate manufacturing and transportation resources. In particular, we conducted an empirical study in a real TFT-LCD fab expansion facing a difficult capacity planning problem arising from the expectation that one or more bottlenecks may shift to different sites, including the transportation system between the incumbent and the expansion fabs. Different product-mix alternatives and feeding policies are investigated to determine the best fab configuration. The results have shown practical viability of the proposed simulation technique to significantly reduce the computational effort associated with the capacity planning process and derive useful alternatives for supporting capacity expansion decisions.Keywords: capacity planningsimulation modellingperformance evaluationfab expansionTFT-LCD AcknowledgmentsThis research was sponsored by Quanta Display Inc. and National Science Council, Taiwan (NSC100-2628-E-007-017-MY3). Special thanks go to domain experts including Mr Eddy Chiang, Chen-Yu Chien, Fred Tseng, Chien-Hung Lin, Wei-Liang Chou, and Shin-Chin Wang for their kind supports and inputs.
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