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3 Priority Technologies and Supporting Research
Pages 37-56

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From page 37...
... Research opportunities to develop the priority technologies are also described. Priority technologies and research opportunities were identified on the basis of the workshop, the Delphi survey, briefings by technology experts, and committee deliberations based on the following criteria: · Was the technology identified as a high priority technology in the Delphi survey?
From page 38...
... Processing methods that can be readily reconfigured include nanofabrication concepts for manufacturing materials and components directly from molecular building blocks. Bioprocessing (i.e., combining molecular constituents to produce a range of products that vary in function and performance)
From page 39...
... Theoretical Foundations The theoretical foundations for adaptable, reconfigurable manufacturing processes include the scientific basis for manufacturing processes on which models are based. Ultimately, simulations of manufacturing systems would be based on a unified taxonomy for process characteristics that include human characteristics in process models.
From page 40...
... Promising areas for the application of modeling and simulation technology for reconfigurable systems include neural networks for optimizing reconfiguration approaches and artificial intelligence for decision making. Control and Communication Concepts Processes that can be adapted or readily reconfigured will require flexible sensors and control algorithms that provide precision process control of a range of processes and environments.
From page 41...
... Research opportunities to support the development of processes to produce new classes of materials with extraordinary properties fall into three broad areasinnovative processing, design and analysis methods, and theoretical foundations. Innovative Processing Innovative processing methods include nanofabrication and improved netshape processes.
From page 42...
... This will require capabilities for measuring and characterizing materials at extremely small size scales, design materials and components based on first-principles understanding, and precisely controlled processes and materials structures. Moreover, manufacturing enterprises will need technologies to collect, analyze, store, and use information based on performance and characterization experience to validate theoretical models.
From page 43...
... modeling tools. Communications and Information Technology Enterprise models will require the development of unified communication methods and protocols for the exchange of information, which will be used for the integration of process submodels of all levels of manufacturing enterprises, from individual human and process operations to distributed enterprises.
From page 44...
... . Promising research areas for filtering information include neural networks for interpreting data, case-based reasoning, artificial intelligence, intelligent agents for gathering knowledge ("knowbots")
From page 45...
... Design tools should enable the enterprise to move directly from a digital product description to the development of production processes and tools. Design methods will have to consider reconfigurations of products and processes, concurrent designs of products and production processes, optimized lifecycle costs, modular assembly, robust production processes, product flexibility, and social and environmental goals.
From page 46...
... Research on learning and design processes that will enhance worker performance include neural networks learning theories, decision support tools that are integrated with manufacturing operations and equipment, new techniques in education and cognitive science, training with simulations/virtual reality, and situation theory. In addition research will be needed to develop technologies for continuous learning by individuals and teams and collaborative design tools to allow people with different skills, education, cultural backgrounds, and organizational status to participate in the design process.
From page 47...
... MEETING THE GRAND CHALLENGES THROUGH TECHNOLOGY Each priority technology is matched with prioritization factors in Table 3-1. All of the priority technologies would provide an enabling capability for meeting at least one of the grand challenges for manufacturing.
From page 48...
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From page 49...
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From page 50...
... It provides the basis for understanding the interactions between the various entities of manufacturing enterprises. It enables the application of solutions that are optimized for the enterprise as a whole.
From page 51...
... Trying out new processes and prototyping new methods will not be fast enough. With virtual reality software, people will be able to determine what will work and what won't and quickly understand the impact of process changes.
From page 52...
... Technology and the competitive environment will continue to change very quickly. The underlying infrastructure will require system architectures and algorithms and methodologies for acquiring information and converting it into immediately usable knowledge.
From page 53...
... Biotechnology offers the possibility of using renewable biological processes for manufacturing, to manufacture biologically-defined products, and to create only nonpolluting, biodegradable wastes. With this technology, environmental considerations, energy utilization, and waste minimization can be considered early in product and process design.
From page 54...
... Rapid, virtual prototyping based on advanced modeling and simulation of complex manufacturing processes and systems will enable "just-in-time" reconfiguration decisions for products and physical processes; appropriate business processes; and enterprise design, organization, operations, and control. This technology will provide the underlying infrastructure, architecture, algorithms, and methodologies for acquiring information and converting it into immediately usable knowledge.
From page 55...
... PRIORITY TECHNOLOGIES AND SUPPORTING RESEARCH TABLE 3-7 Continued 55 Technology Enabling Capabilities Education and training Collaboration software systems New knowledge delivery systems will facilitate rapid learning for manufacturing applications. Individuals involved in the planning and operations of reconfiguration will be asked to make quick, accurate decisions.
From page 56...
... This technology will provide new design methodologies that can be quickly adapted to accommodate major changes in requirements. Timely, affordable, one-of-a-kind products will require rapid product and process designs.


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