Gass, Saul I. (University of Maryland)
Saul I. Gass
Professor Emeritus of Decision, Operations, and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park
8809 Maxwell Drive
Potomac, MD 20854
Phone: (301) 299 8488
E-mail: sgass@rhsmith.umd.edu
Website: www.rhsmith.umd.edu/doit/faculty/gass.aspx
Topics:
An Annotated Timeline of Operations Research
We have developed an annotated timeline of important events, books, and related activities (over 400 entries) that collectively provide an unusual view of the evolution of Operations Research. This talk will discuss how OR got from there (circa 1564) to here (2004) and became a new science of decision making. It is based on the book "An Annotated Timeline of Operations Research: An Informal History," S. I. Gass and A. Assad, Springer 2004. (Elementary)
The Analytic Hierarchy Process
The Analytic Hierarchy Process (AHP) is a decision-aiding method that has been applied successfully in many hundreds of real-world problems. This talk will discuss the ideas and mathematical basis of the AHP and illustrate the process using AHP-based software. (Elementary)
The First Linear Programming Shoppe
We review the early history of linear programming with respect to the solution of linear equations, computer developments, and its origin within the US Air Force. (Elementary)
Multi-object Linear Programming (MOLP)
Our ability to resolve linear-programming problems with multiple objectives is a difficult matter, as such problems of interest requires the analyst/decision-maker to choose among a multitude of possible solutions, the Pareto (efficient) solution set. In this talk, we will discuss the mathematics behind such problems and offer an unusual approach to how a compromise solution can be determined. (Intermediate)
Fitting circles and spheres to coordinate measuring machine data, or when is a circle a circle?
We discuss an unusual application of linear programming to the measurement of drilled circles and shaped spheres in terms of stated quality control requirements using a modified Chebychev min-max formulation. We also discuss related applications. (Intermediate)
Background:
- B.A. Education - Boston University
- M.A. Mathematics - Boston University
- Ph.D. Engineering Science, Operations Research - University of California-Berkeley
Professor Emeritus of Decision, Operations, and Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park. Formerly, Vice-President, Mathtech Division, MATHEMATICA, Inc.; Project Manager, Project Mercury Man-in-Space Program, and Manager, Federal Civil Programs, IBM Corporation; Director of Operations Resources, CEIR, Inc.; Mathematician, U.S. Air Force. Author of Linear Programming, Methods and Applications, 5th edition, McGraw-Hill, 1985; An Illustrated Guide to Linear Programming, McGraw-Hill, 1970; Decision Making, Models and Algorithms, Wiley Interscience, 1985; co-editor of the Encyclopedia of Operations Research and Management Science, Kluwer Academic Publishers, 1996,2001; co-author of An Annotated Timeline of Operations Research: An Informal History, Kluwer Academic Publishers, 2004; co-author of Profiles in Operations Research: Pioneers and Innovators, Springer; and papers in various OR journals. Past President of ORSA and Omega Rho (International Operations Research Honor Society). INFORMS Fellow and recipient of ORSA's Kimball Medal for Distinguished Service to the Profession, the INFORMS Military Applications Section's Jacinto Steinhardt Memorial Medal for contributions to military operations research, and the INFORMS Expository Writing Award. Fulbright Scholar (1995-96) and Fulbright Senior Specialist (2001-2006).