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Showing 1 to 20 of 184 for “"Semiconductor Manufacturing"”.

  1. Analyzing sampling methodologies in semiconductor manufacturing

    … process development and wafer fabrication manufacturing facility in Santa Clara, California. At the highest level, this work relates to the importance of adequately creating and maintaining data within IT solutions in order to receive the full business benefit expected through the use of …

    mit Repository record for Analyzing sampling methodologies in semiconductor manufacturing (opens in a new tab)

  2. Queueing Network Analysis of Semiconductor Manufacturing Plants

    We show how the performance bounds can be used to design wafer fabs. Specifically, one may formulate the problem as one of maximizing the performance subject to a capital cost constraint. Software has been developed both for performance bounds (called BoundFab) and for design (called DesignFab).

    uiuc Repository record for Queueing Network Analysis of Semiconductor Manufacturing Plants (opens in a new tab)

  3. Reducing variability in a semiconductor manufacturing environment

    … flash memory factory is striving for shorter manufacturing throughput times without reducing tool utilizations. One of the major components in throughput time today is queuing time caused partly by variability in the manufacturing environment. Being able to reduce this variability component …

    mit Repository record for Reducing variability in a semiconductor manufacturing environment (opens in a new tab)

  4. Improving productivity of semiconductor manufacturing cluster tools

    Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1994, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1994.

    mit Repository record for Improving productivity of semiconductor manufacturing cluster tools (opens in a new tab)

  5. Control policies for scheduling of semiconductor manufacturing plants

    We study the problem of scheduling large semiconductor manufacturing facilities which can be modeled as re-entrant lines and the stability of such re-entrant lines for several buffer priority and due-date-based policies subject to deterministic bursty arrivals. By stability, we mean that the …

    uiuc Repository record for Control policies for scheduling of semiconductor manufacturing plants (opens in a new tab)

  6. Radio frequency identification (RFID) applications in semiconductor manufacturing

    … has an enormous potential impact within the semiconductor supply chain, especially within semiconductor manufacturing. The end benefit of RFID will be in the mass serialization, and the subsequent tracking and tracing, of individual semiconductors, or what is referred to as Unit Level …

    mit Repository record for Radio frequency identification (RFID) applications in semiconductor manufacturing (opens in a new tab)

  7. A wireless robotic manipulator for semiconductor manufacturing equipment

    Silicon wafer processing is an extremely refined and sensitive operation. Processing often takes place in clean rooms filtered to better than class 1. However even under these precautions, particle contamination still causes failures in the microchips produced in these environments. One source of …

    mit Repository record for A wireless robotic manipulator for semiconductor manufacturing equipment (opens in a new tab)

  8. Scheduling of Wafer Test Processes in Semiconductor Manufacturing

    … of the most important issues in the planning of manufacturing systems. This research focuses on solving the test scheduling problem which arises in semiconductor manufacturing environment. Semiconductor wafer devices undergo a series of test processes conducted on computer-controlled test …

    vt Repository record for Scheduling of Wafer Test Processes in Semiconductor Manufacturing (opens in a new tab)

  9. Fluid dynamics of thin films in semiconductor manufacturing processes

    … substrate. However, defects produced during the manufacturing process destroy the functionality of nanostructures. Thus, the fluid dynamics of thin fluid films involved in the manufacturing process is an interesting scientific and engineering problem. The first system studied in this dissertation …

    texas Repository record for Fluid dynamics of thin films in semiconductor manufacturing processes (opens in a new tab)

  10. Machine learning for automated anomaly detection in semiconductor manufacturing

    In the realm of semiconductor manufacturing, detecting anomalies during manufacturing processes is crucial. However, current methods of anomaly detection often rely on simple excursion detection methods, and manual inspection of machine sensor data to determine the cause of a problem. In order to …

    mit Repository record for Machine learning for automated anomaly detection in semiconductor manufacturing (opens in a new tab)

  11. Learning during ramping : policy choices for semiconductor manufacturing firms

    Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1993.

    mit Repository record for Learning during ramping : policy choices for semiconductor manufacturing firms (opens in a new tab)

  12. An application of lean principles within a semiconductor manufacturing environment

    … Fab 23 is committed to implementing lean manufacturing to reduce their production cycle times and cost. This thesis is focused around the development of the principles of lean that are most relevant to Intel's complex manufacturing flow and then the application of these principles to …

    mit Repository record for An application of lean principles within a semiconductor manufacturing environment (opens in a new tab)

  13. Deep Transfer Learning for Macroscale Defect Detection in Semiconductor Manufacturing

    This thesis proposes improvements to wafer macro inspection processes and tools on four axes at Texas Instruments. The major axis of improvement involves real-time machine learning recommendations regarding the presence of macroscale defects. In this work, a model for detecting central defects is …

    mit Repository record for Deep Transfer Learning for Macroscale Defect Detection in Semiconductor Manufacturing (opens in a new tab)

  14. Novel machine learning approaches for modeling variations in semiconductor manufacturing

    In the competitive semiconductor manufacturing industry where large amounts of data are generated, data driven quality control technologies are gaining increasing importance. The primary goal of this thesis is to build machine learning models for variation analysis and yield improvement. In this …

    mit Repository record for Novel machine learning approaches for modeling variations in semiconductor manufacturing (opens in a new tab)

  15. The impact of high-mix, low volume products in semiconductor manufacturing

    … Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.

    mit Repository record for The impact of high-mix, low volume products in semiconductor manufacturing (opens in a new tab)

  16. A general methodology for assessing and characterizing variation in semiconductor manufacturing

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.

    mit Repository record for A general methodology for assessing and characterizing variation in semiconductor manufacturing (opens in a new tab)

  17. Biotreatment of waste streams containing isopropyl alcohol and copper from semiconductor manufacturing

    Because of the nature of their processes, semiconductor fabrication facilities use a large amount of water for the processing of microchips. This also means that a large amount of wastewater is discharged from semiconductor facilities. Because of this, there is a drive in the industry towards …

    arizona-thes Repository record for Biotreatment of waste streams containing isopropyl alcohol and copper from semiconductor manufacturing (opens in a new tab)

  18. Systems level approach to process improvement initiatives in a semiconductor manufacturing environment

    Many successful companies have difficulty implementing large-scale change initiatives such as Lean, Six Sigma, outsourcing or Advanced Process Control. This can often be due to the fact that they treat large-scale improvement efforts in the same way that they handle smaller improvement efforts. …

    mit Repository record for Systems level approach to process improvement initiatives in a semiconductor manufacturing environment (opens in a new tab)

  19. Game theoretic models of inter-firm R&D dynamics in semiconductor manufacturing

    … two prominent, ongoing technology transitions in semiconductor manufacturing: EUV lithography (EUVL) and 450mm silicon wafers. The iterative multi-data-source process used for establishing appropriate game structures and payoff estimates is described in detail. Contextual realism was augmented by …

    mit Repository record for Game theoretic models of inter-firm R&D dynamics in semiconductor manufacturing (opens in a new tab)

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