Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to connect equipment, and algorithms to relate process variables to product attributes. Since 1995, the U.S. Department of Energy Office of Industrial Technology 's (OIT) program management strategy has reflected its commitment to increasing and documenting the commercial impact of OIT programs. OIT's management strategy for research and development has been in transition from a "technology push" strategy to a "market pull" strategy based on the needs of seven energy-and waste-intensive industries-steel, forest products, glass, metal casting, aluminum, chemicals, and petroleum refining. These industries, designated as Industries of the Future (IOF), are the focus of OIT programs. In 1997, agriculture, specifically renewable bioproducts, was added to the IOF group. The National Research Council Panel on Manufacturing Process Controls is part of the Committee on Industrial Technology Assessments (CITA), which was established to evaluate the OIT program strategy, to provide guidance during the transition to the new IOF strategy, and to assess the effects of the change in program strategy on cross-cutting technology programs, that is, technologies applicable to several of the IOF industries. The panel was established to identify key processes and needs for improved manufacturing control technology, especially the needs common to several IOF industries; identify specific research opportunities for addressing these common industry needs; suggest criteria for identifying and prioritizing research and development (R&D) to improve manufacturing controls technologies; and recommend means for implementing advances in control technologies.
Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to connect equipment, and algorithms to relate process variables to product attributes. Since 1995, the U.S. Department of Energy Office of Industrial Technology 's (OIT) program management strategy has reflected its commitment to increasing and documenting the commercial impact of OIT programs. OIT's management strategy for research and development has been in transition from a technology push strategy to a market pull strategy based on the needs of seven energy-and waste-intensive industries-steel, forest products, glass, metal casting, aluminum, chemicals, and petroleum refining. These industries, designated as Industries of the Future (IOF), are the focus of OIT programs. In 1997, agriculture, specifically renewable bioproducts, was added to the IOF group.The National Research Council Panel on Manufacturing Process Controls is part of the Committee on Industrial Technology Assessments (CITA), which was established to evaluate the OIT program strategy, to provide guidance during the transition to the new IOF strategy, and to assess the effects of the change in program strategy on cross-cutting technology programs, that is, technologies applicable to several of the IOF industries. The panel was established to identify key processes and needs for improved manufacturing control technology, especially the needs common to several IOF industries; identify specific research opportunities for addressing these common industry needs; suggest criteria for identifying and prioritizing research and development (R&D) to improve manufacturing controls technologies; and recommend means for implementing advances in control technologies.
This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
The U.S. national security export controls systemâ€"which was instituted to impede Soviet acquisition of high technology from the Westâ€"is both necessary and appropriate. Balancing the National Interest provides a thorough analysis of this controls system, examining the current system of laws, regulations, international agreements, and organizations that control the international transfer of technology through industrial channels. Foreign Affairs calls it "the best on the subject to have been published in the 40 years that the United States has exercised controls on exports that might add to Soviet power.
The mission of the Engineering Laboratory (EL) of the National Institute of Standards and Technology (NIST) is to "promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology for engineered systems in ways that enhance economic security and improve quality of life." To support this mission the EL has developed thrusts in smart manufacturing, construction, and cyberphysical systems; in sustainable and energy-efficient manufacturing materials and infrastructure; and in disaster-resilient buildings, infrastructure, and communities. The technical work of the EL is performed in five divisions - Intelligent Systems, Materials and Structural Systems, Energy and Environment, Systems Integration, and Fire Research - and in two offices - the Applied Economics Office and the Smart Grid Program Office. At the request of the acting director of NIST, the National Academies of Sciences, Engineering, and Medicine assesses the scientific and technical work performed by the NIST Engineering Laboratory (EL). This publication reviews technical reports and technical program descriptions prepared by NIST staff summarizes the findings of the authoring panel.
This report addresses a number of issues that have surfaced in the debates over the impact of technological change on employment. These issues include the effects of technological change on levels of employment and unemployment within the economy; on the displacement of workers in specific industries or sectors of the economy; on skill requirements; on the welfare of women, minorities, and labor force entrants in a technologically transformed economy; and on the organization of the firm and the workplace. It concludes that technological change will contribute significantly to growth in employment opportunities and wages, although workers in specific occupations and industries may have to move among jobs and careers. Recommends initiatives and options to assist workers in making such transitions. ISBN 0-309-03744-1 (pbk.).
Washington, D.C. (2101 Constitution Ave., NW, Washington 20418) : National Academy Press
Published Date
ISBN 10
0309037824
ISBN 13
9780309037822
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