Asu 10162002 15 c o nv e r s i o n f l o w physical

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ASU, 10/16/2002 15 C o nv e r s i o n F l o w Physical Logical machine tools operators tooling workpiece IE Research Domain container conveyor vehicle operator inventory speeds & feeds operation sequence control limits control I/F process routes sequence/schedule prod’n/inventory plan
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ASU, 10/16/2002 16 The Big Picture Profitability Cost Revenue Resource Efficiency Investment Speed, Flexibility Marketing Design Global Economy
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Are there any IE “grand challenges”?
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ASU, 10/16/2002 18 The vision for 2020 and beyond described in Chapter 1 suggests considerable changes in the manufacturing enterprise. The social and political environment, the needs of the marketplace, and opportunities created by technological breakthroughs will drive these changes. Moving from the current status of manufacturing to manufacturing in 2020 will present major challenges, which the committee defines as "grand challenges" or fundamental goals, that would make realization of the vision possible. The six grand challenges are listed below: achieve concurrency in all operations • integrate human and technical resources to enhance workforce performance and satisfaction • instantaneously transform information gathered from a vast array of sources into useful knowledge for making effective decisions • reduce production waste and product environmental impact to "near zero" • reconfigure manufacturing enterprises rapidly in response to changing needs and opportunities • develop innovative manufacturing processes and products with a focus on decreasing dimensional scale
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ASU, 10/16/2002 19 adaptable, integrated equipment, processes, and systems that can be readily reconfigured manufacturing processes that minimize waste and energy consumption • innovative processes for designing and manufacturing new materials and components • biotechnology for manufacturing system synthesis, modeling, and simulation for all manufacturing operations technologies to convert information into knowledge for effective decision making • product and process design methods that address a broad range of product requirements enhanced human-machine interfaces • new educational and training methods that enable the rapid assimilation of knowledge • software for intelligent collaboration systems Ten Strategic Technologies
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ASU, 10/16/2002 20 Research Recommendations • understanding the effect of human psychology and social sciences on decision-making processes in the design, planning, and operation of manufacturing processes • managing and using information to make intelligent decisions among a vast array of alternatives • adapting and reconfiguring manufacturing processes rapidly for the production of diverse, customized products • adapting and reconfiguring manufacturing enterprises to enable the formation of complex alliances with other organizations • developing concurrent engineering tools that facilitate cross-disciplinary and enterprise-wide involvement in the
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