Overview
- Unique in its coverage, approach and format
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 75)
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Keywords
About this book
An Annotated Timeline of Operations Research: An Informal History recounts the evolution of Operations Research (OR) as a new science - the science of decision making. Arising from the urgent operational issues of World War II, the philosophy and methodology of OR has permeated the resolution of decision problems in business, industry, and government. The Timeline chronicles the history of OR in the form of self-contained, expository entries. Each entry presents a concise explanation of the events and people under discussion, and provides key sources where further relevant information can be obtained. In addition, books and papers that have influenced the development of OR or helped to educate the first generations of OR academics and practitioners are cited throughout the book. Starting in 1564 with seminal ideas that form the precursors of OR, the Timeline traces the key ideas and events of OR through 2004.
The Timeline should interest anyone involved in OR -researchers, practitioners, academics, and, especially, students - who wish to learn how OR came into being. Further, the scope and expository style of the Timeline should make it of value to the general reader interested in the development of science and technology in the last half of the twentieth century.
Authors and Affiliations
Bibliographic Information
Book Title: An Annotated Timeline of Operations Research
Book Subtitle: An Informal History
Authors: Saul I. Gass, Arjang A. Assad
Series Title: International Series in Operations Research & Management Science
Publisher: Springer New York, NY
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-1-4020-8112-5Published: 02 November 2004
Softcover ISBN: 978-1-4020-8116-3Published: 07 January 2005
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XIII, 213
Topics: Operations Research/Decision Theory, Optimization, Operations Research, Management Science, Business and Management, general, Mathematics of Computing, Mathematical and Computational Engineering