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Chains of Opportunity
"While "plastics" was a one-word joke in the 1967 movie The Graduate, plastics and other polymers have never been a laughing matter at the University of Akron, with its world-renowned College of Polymer Science and Polymer Engineering. Chains of Opportunity: The University of Akron and the Emergence of the Polymer Age, 1909-2007 tells the story of the university's rise to prominence in the field, beginning with the world's first academic course in rubber chemistry almost a century ago." "Chains of Opportunity explores the university's pioneering contributions to rubber chemistry, polymer science, and polymer engineering. It traces the school's interaction with Akron rubber giants such as Goodyear and Firestone, recounts its administration of the federal government's synthetic rubber program during World War II, and describes its role in the development and professionalization of the academic discipline in polymers. The University of Akron has been an essential force in establishing the polymer age that has become a pervasive part of our material lives, in everything from toys to biotechnology."--BOOK JACKET.
Stochastic Programming
From the Preface... The preparation of this book started in 2004, when George B. Dantzig and I, following a long-standing invitation by Fred Hillier to contribute a volume to his International Series in Operations Research and Management Science, decided finally to go ahead with editing a volume on stochastic programming. The field of stochastic programming (also referred to as optimization under uncertainty or planning under uncertainty) had advanced significantly in the last two decades, both theoretically and in practice. George Dantzig and I felt that it would be valuable to showcase some of these advances and to present what one might call the state-of- the-art of the field to a broader...
Managing Complexity: Insights, Concepts, Applications
The essays and lectures collected in this book center around knowledge transfer from the complex-system sciences to applications in business, industry and society, as viewed from a broad perspective. The contributions aim to raise awareness across the spectrum to meet the increasing need to integrate lessons from complexity research into everyday planning, decision making, logistics or optimization procedures and forecasting. The writing has been largely kept non-technical.
An Assessment of the National Institute of Standards and Technology Manufacturing Engineering Laboratory
The mission of the Manufacturing Engineering Laboratory (MEL) of the National Institute of Standards and Technology (NIST) is to promote innovation and the competitiveness of U.S. manufacturing through measurement science, measurement services, and critical technical contributions to standards. The MEL is organized in five divisions: Intelligent Systems, Manufacturing Metrology, Manufacturing Systems Integration, Precision Engineering, and Fabrication Technology. A panel of experts appointed by the National Research Council (NRC) assessed the first four divisions. Overall, this book finds that the four individual divisions are performing to the best of their ability, given available resources. In many areas in all four divisions, the capabilities and the work being performed are among the best in the field. However, reduced funding and other factors such as difficulty in hiring permanent staff are limiting (and are likely to increasingly limit) the degree to which MEL programs can achieve their objectives and are threatening the future impact of these programs.
Current Trends in AI Planning
AI planning is a broad research topic, linked with such issues as robotics, control theory, operations research and learning. The purpose of EWSP '93 was twofold. Planning under certainty, or classical search-based planning is one direction in the submitted papers, with approaches ranging from the introduction of conditional actions to methods based on statistics and decision theory.
The Michigan Alumnus
In volumes1-8: the final number consists of the Commencement annual.
Networks of Interacting Machines
This review volume is devoted to a discussion of analogies and differences of complex production systems ? natural, as in biological cells, or man-made, as in economic systems or industrial production. Taking this unified look at production is based on two observations: Cells and many biological networks are complex production units that have evolved to solve production problems in a reliable and optimal way in a highly stochastic environment. On the other hand, industrial production is becoming increasingly complex and often hard to predict. As a result, modeling and control of such production networks involve many different spatial and temporal scales and decision policies for many differe...
Regents' Proceedings
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Michiganensian
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