OR/MS Today Online Editions Archive

The following past issues and special supplements of OR/MS Today are available to the World Wide Web: 1997 The October issue focuses on trends in computer-based simulations and optimization. Also included is the 1997 edition of our Simulation Software Survey August 1997 - this issue examines applied uses of OR/MS in various fields such as telecommunications, the call center industry and air travel regulation. June 1997 - The June edition examines the state of OR/MS as a profession. Also featured is the 1997 Vehicle Routing Software Survey. April 1997 - this issue examines why the financial sector attracts so many OR professionals. Also featured is the 1997 Linear Programming Software Survey. February 1997 - this issue takes an in-depth look at how OR/MS is taught in business schools. Also featured is a software survey that examines Spreadsheet Add-ins pertinent to OR/MS applications. 1996 December 1996 - features articles about the effect of operations research on environmental concerns plus a Forecasting Software survey, providing a cross-referenceable chart of products currently on the market. October 1996 - This issue focuses on OR/MS education innovations. Also featured is the 1996 Resource Diretory. August 1996 - OR/MS Today takes an OR approach to the affirmative action debate. Also featured is the Decision Analysis Software Survey. June 1996 - OR Around the World - Focusing on business, health, and society around the world, this issue features articles covering operations research and management science in Holland, China, Singapore, the U.K., Greece, Australia and Africa. April 1996 - OR/MS Today looks at intelligent manufacturing and how it's changing the face of business today. February 1996 - OR/MS Goes to Washington. The February issue takes a look at public budgeting problems and solutions. 1995 December 1995 - This issue focuses on computing trends applicable to the OR/MS community. October 1995 - the inaugural issue of OR/MS Today Online Editions. Includes feature stories covering our linear programming survey and a neural network approach to analyzing college football ratings.

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