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Introduction: A Long View of Research and Practice in Operations Research and Management Science

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 148))

Abstract

Operations Research (O.R.) is rooted in three fields: military operations, economics, and computer science. Operations Research (O.R.)—or, Operational Research—as a field was formally created by scientists in the UK, in particular by researchers working for the Royal Air Force. At the same time, there were parallel efforts in the US to examine ways of making better decisions in the different areas of military operations during WWII [15]. Still, research in operations already had a long history in England rooted in economics, going back to Charles Babbage’s study of the pin industry (that following Adam Smith’s “division of labor” study of the same industry) and of the postal system resulting in “penny post” that continues to be the model in most countries, thus justifiably earning Babbage the “father of operational research” [23]. It is interesting that Babbage also designed the analytic engine, essentially a programmable computer, because modern O.R.’s insistence on mathematical theory lie in the work of von Neumann and Alan Turing among others who laid down the foundations of the modern computer and of computer science. This book, with a long view of research and practice in O.R., reflects these three roots of operations research.

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References

  1. Atlihan M, Cunningham K, Laude G, Schrage L (2010) Challenges in adding a stochastic programming/scenario planning capability to a general purpose optimization modeling system. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 117–135

    Google Scholar 

  2. Baucells M, Sarin R (2010) Optimizing happiness. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 249–273

    Google Scholar 

  3. Beyer D, Clearwater S, Chen KY, Feng Q, Huberman BA, Jain S, Jamal A, Sen A, Tang HK, Tarjan B, Venkatraman K, Ward J, Zhang A, Zhang B (2010) Advances in business analytics at HP laboratories. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 137–173

    Google Scholar 

  4. Birge J (2010) The persistence and effectiveness of large-scale mathematical programming strategies: Projection, outer linearization, and inner linearization. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 23–33

    Google Scholar 

  5. Birge J, Louveaux F (1997) Introduction to stochastic programming. Springer, New York, NY

    Google Scholar 

  6. Brown G, Rosenthal RE (2008) Optimization tradecraft: Hard-won insights from real-world decision support. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer New York, NY, pp. 99–114. (Reprinted with permission from INFORMS)

    Google Scholar 

  7. Dolk D (2010) Structured modeling and model management. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 63–88

    Google Scholar 

  8. Erlenkotter D (2010) Economic planning models for India in the 1960s. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 11–22

    Google Scholar 

  9. Fourer R (2010) Cyberinfrastructure and optimization. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 219–229

    Google Scholar 

  10. Geoffrion AM (1970) Elements of large-scale mathematical programming, Part I: Concepts. Management Science 16(11):652–675

    Article  Google Scholar 

  11. Geoffrion AM (1987) An introduction to structured modeling. Management Science 33(5):547–588

    Article  Google Scholar 

  12. Geoffrion AM, Graves G (1974) Multi-commodity distribution system design by Bender’s decomposition. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY. (Reprinted with permission from INFORMS)

    Google Scholar 

  13. Geoffrion AM, Krishnan R (2003) E-business and management science: Mutual impacts (Part 1 of 2). Special issue on e-business and management science. Management Science 49(10):1275–1286

    Article  Google Scholar 

  14. Geoffrion AM, Powers R (1995) Twenty years of strategic distribution system design: An evolutionary perspective. Interfaces 25(5):105–127

    Article  Google Scholar 

  15. Kirby MW (2000) Operations research trajectories: The Anglo-American experience from the 1940s to the 1990s. Operations Research 48(5):661–670

    Article  Google Scholar 

  16. Kirby MW, Capey R (1998) The origins and diffusion of operational research in the UK. Journal Operational Research Society 49(4):307–326

    Google Scholar 

  17. Kirkwood CW (1990) Does operations research address strategy? Operations Research 38(5):747–751

    Article  Google Scholar 

  18. Lee HL (2010) Global trade process and supply chain management. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 175–193

    Google Scholar 

  19. Leontief W (1936) Quantitative input and output relations in the economic system of the United States. Rev Economics Statistics 18(3):105–125

    Article  Google Scholar 

  20. Leontief W (1966) Input-output economics. Oxford University Press, New York, NY

    Google Scholar 

  21. Lin G, Wang KY (2010) Sustainable globally integrated enterprises. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 195–217

    Google Scholar 

  22. Powers R (2010) Retrospective: 25 years of applying management science to logistics. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 89–98

    Google Scholar 

  23. Sodhi M (2007) What about the “O” in O.R.? OR/MS Today (December). Retrieved from http://www.lionhrtpub.com/orms/orms-12-07/frqed.html on 8th Feb 2010

  24. Sodhi M, Tang CS (2008) The OR ecosystem: Strengths, weaknesses, opportunities and threats. Operations Research 56(2):267–277

    Article  Google Scholar 

  25. Sodhi M, Tang CS (2010) Capitalizing on our strengths to avail opportunities in the face of weakness and threats. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 275–297

    Google Scholar 

  26. Turner J, Mehrotra S, Daskin MS (2010) Perspectives on healthcare resource management problems. In: Sodhi MS, Tang CS (eds) A long view of research and practice in operations research and management science: The past and the future. Springer, New York, NY, pp. 231–247

    Google Scholar 

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Sodhi, M.S., Tang, C.S. (2010). Introduction: A Long View of Research and Practice in Operations Research and Management Science. In: Sodhi, M., Tang, C. (eds) A Long View of Research and Practice in Operations Research and Management Science. International Series in Operations Research & Management Science, vol 148. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6810-4_1

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