Applied Materials dimension factory simulation

dc.contributor.advisorBard, Jonathan F.
dc.contributor.advisorBickel, J. Eric
dc.creatorElimbi Moudio, Agnes
dc.date.accessioned2022-12-14T02:03:55Z
dc.date.available2022-12-14T02:03:55Z
dc.date.created2022-05
dc.date.issued2022-05-26
dc.date.submittedMay 2022
dc.date.updated2022-12-14T02:03:56Z
dc.description.abstractApplied Materials launched a CMP Manufacturing Line Process in 2020. Due to the complex nature of the process and the investment need, the company must be careful when they want to implement changes in their system. Discrete Event Simulation Models offer the possibility to test hypotheses in a virtual environment before implementing them in real life. In this document, we created a discrete-event simulation to model the CMP manufacturing line using the modeling tool FlexSim. During the model building process, the most crucial aspect was implementing the process times for printing and metrology tasks, the personnel’s timetable, and the logic handling printing and metrology tasks. We used the model to evaluate the utilization rates of the equipment at the baseline level and when we double the capacity. In addition, we observe the system's behavior for different throughput targets under different shift systems. We concluded that different shift systems lead to increased production; however, this must be balanced with the increased system stay time. Finally, we observed the effect of increasing the number of printers in use for different production levels.
dc.description.departmentOperations Research and Industrial Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/116978
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/43873
dc.language.isoen
dc.subjectDiscrete event simulation
dc.titleApplied Materials dimension factory simulation
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentOperations Research and Industrial Engineering
thesis.degree.disciplineOperations Research and Industrial Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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