Optimizing the Manufacturing Process
Arnie will discuss a concept for a program/manufacturing line managers decision and reporting aid. The concept involves natural language spoken interfaces, machine learning, and inference engines to accomplish the collection, discussion, analysis, and reporting of weekly management metrics. During the analysis, trends, anomalies, and similarities are identified analyzed, subjects of concern, inferred causes, and suggestions for remediation. The goal of the system is to enable managers to have more time (and funding for staff) to spot problems as they evolve to prevent or solve them.
Arnie Kravitz drives ARM’s technical vision. He helps it fulfill its mission of increasing U.S. global competitiveness by accelerating innovative technologies that make robots more accessible to U.S. manufacturers. With over 37 years designing, developing, and manufacturing a large portfolio of products Arnie draws from a broad portfolio of experiences. These include; expert, imagery interpretation, and automatic target recognition systems; self-learning inference engine applications, aquatic robots, autonomous vehicles, robotics, augmented, and virtual reality vision systems, commercial consumer electronics, and cryptographic devices. He has taught as an Adjunct Professor at The Johns Hopkins University and has significant experience exploiting emerging tools and techniques to rapidly transform new ideas into manufactured products. Arnie holds a master’s degree in Electrical Engineering from Rensselaer Polytechnic Institute.