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Evaluating and implementing revolutionary disruptive technologies such as distributed autonomous control at the appropriate time to maximize cost competitiveness.
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Determining the appropriate time to move to next-generation manufacturing technology for all high-volume commodity production.
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Exploring self-evolving and self-configuring technologies such as data analysis and prediction where software (re-)configuration tasks are greatly reduced.
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Adopting augmented reality capabilities for enhanced human machine interaction.
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Achieving the "prediction vision" of a state of factory operations where (1) yield and throughput prediction is an integral part of factory operation optimization, and (2) real-time simulation of all factory operations occurs as an extension of existing system with dynamic updating of simulation models.
