Scalable Enterprise Systems: An Introduction to Recent Advances
The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF...
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Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2003
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Ausgabe: | 1st ed. 2003 |
Schriftenreihe: | Integrated Series in Information Systems
3 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF's Scalable Enterprise Systems (SES) initiative, for which we were responsible in our successive terms in the division of Design, Manufacture and Industrial Innovation (DMII), was just such a venture. A collaborative effort spanning NSF's engineering and computer science directorates, SES sought to concentrate the energies of the academic engineering research community on developing a science base for designing, planning and controlling the extended, spatially and managerially distributed enterprises that have become the norm in the manufacture, distribution and sale of the products of U. S. industry. The of associated issues addressed included everything from management supply chains, to product design across teams of collaborating companies, to e-marketing and make-to-order manufacturing, to the information technology challenges of devising inter-operable planning and control tools that can scale with exploding enterprise size and scope. A total of 27 teams with nearly 100 investigators were selected from the 89 submitted proposals in the Phase I, exploratory part of the effort (see the list below). Seven of these were awarded larger multi-year grants to continue their research in Phase II. As the contents of this book amply illustrate, these investigations continue to flourish, with and without direct NSF support |
Beschreibung: | 1 Online-Ressource (XXXI, 338 p) |
ISBN: | 9781461503897 |
DOI: | 10.1007/978-1-4615-0389-7 |
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520 | |a The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF's Scalable Enterprise Systems (SES) initiative, for which we were responsible in our successive terms in the division of Design, Manufacture and Industrial Innovation (DMII), was just such a venture. A collaborative effort spanning NSF's engineering and computer science directorates, SES sought to concentrate the energies of the academic engineering research community on developing a science base for designing, planning and controlling the extended, spatially and managerially distributed enterprises that have become the norm in the manufacture, distribution and sale of the products of U. S. industry. The of associated issues addressed included everything from management supply chains, to product design across teams of collaborating companies, to e-marketing and make-to-order manufacturing, to the information technology challenges of devising inter-operable planning and control tools that can scale with exploding enterprise size and scope. A total of 27 teams with nearly 100 investigators were selected from the 89 submitted proposals in the Phase I, exploratory part of the effort (see the list below). Seven of these were awarded larger multi-year grants to continue their research in Phase II. As the contents of this book amply illustrate, these investigations continue to flourish, with and without direct NSF support | ||
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spelling | Scalable Enterprise Systems An Introduction to Recent Advances edited by Vittal Prabhu, Soundar Kumara, Manjunath Kamath 1st ed. 2003 New York, NY Springer US 2003 1 Online-Ressource (XXXI, 338 p) txt rdacontent c rdamedia cr rdacarrier Integrated Series in Information Systems 3 The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF's Scalable Enterprise Systems (SES) initiative, for which we were responsible in our successive terms in the division of Design, Manufacture and Industrial Innovation (DMII), was just such a venture. A collaborative effort spanning NSF's engineering and computer science directorates, SES sought to concentrate the energies of the academic engineering research community on developing a science base for designing, planning and controlling the extended, spatially and managerially distributed enterprises that have become the norm in the manufacture, distribution and sale of the products of U. S. industry. The of associated issues addressed included everything from management supply chains, to product design across teams of collaborating companies, to e-marketing and make-to-order manufacturing, to the information technology challenges of devising inter-operable planning and control tools that can scale with exploding enterprise size and scope. A total of 27 teams with nearly 100 investigators were selected from the 89 submitted proposals in the Phase I, exploratory part of the effort (see the list below). Seven of these were awarded larger multi-year grants to continue their research in Phase II. As the contents of this book amply illustrate, these investigations continue to flourish, with and without direct NSF support Business Mathematics IT in Business Operations Management Data Structures and Information Theory Artificial Intelligence Operations Research/Decision Theory Business mathematics Information technology Business—Data processing Production management Data structures (Computer science) Artificial intelligence Operations research Decision making Prabhu, Vittal edt Kumara, Soundar edt Kamath, Manjunath edt Erscheint auch als Druck-Ausgabe 9781402074912 Erscheint auch als Druck-Ausgabe 9781461350521 Erscheint auch als Druck-Ausgabe 9781461503903 https://doi.org/10.1007/978-1-4615-0389-7 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Scalable Enterprise Systems An Introduction to Recent Advances Business Mathematics IT in Business Operations Management Data Structures and Information Theory Artificial Intelligence Operations Research/Decision Theory Business mathematics Information technology Business—Data processing Production management Data structures (Computer science) Artificial intelligence Operations research Decision making |
title | Scalable Enterprise Systems An Introduction to Recent Advances |
title_auth | Scalable Enterprise Systems An Introduction to Recent Advances |
title_exact_search | Scalable Enterprise Systems An Introduction to Recent Advances |
title_exact_search_txtP | Scalable Enterprise Systems An Introduction to Recent Advances |
title_full | Scalable Enterprise Systems An Introduction to Recent Advances edited by Vittal Prabhu, Soundar Kumara, Manjunath Kamath |
title_fullStr | Scalable Enterprise Systems An Introduction to Recent Advances edited by Vittal Prabhu, Soundar Kumara, Manjunath Kamath |
title_full_unstemmed | Scalable Enterprise Systems An Introduction to Recent Advances edited by Vittal Prabhu, Soundar Kumara, Manjunath Kamath |
title_short | Scalable Enterprise Systems |
title_sort | scalable enterprise systems an introduction to recent advances |
title_sub | An Introduction to Recent Advances |
topic | Business Mathematics IT in Business Operations Management Data Structures and Information Theory Artificial Intelligence Operations Research/Decision Theory Business mathematics Information technology Business—Data processing Production management Data structures (Computer science) Artificial intelligence Operations research Decision making |
topic_facet | Business Mathematics IT in Business Operations Management Data Structures and Information Theory Artificial Intelligence Operations Research/Decision Theory Business mathematics Information technology Business—Data processing Production management Data structures (Computer science) Artificial intelligence Operations research Decision making |
url | https://doi.org/10.1007/978-1-4615-0389-7 |
work_keys_str_mv | AT prabhuvittal scalableenterprisesystemsanintroductiontorecentadvances AT kumarasoundar scalableenterprisesystemsanintroductiontorecentadvances AT kamathmanjunath scalableenterprisesystemsanintroductiontorecentadvances |