Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
From inside the book
Results 1-3 of 72
Page 1
1 Introduction 1.1 THE ORIGINS OF OPERATIONS RESEARCH Since the advent of the industrial revolution , the world has seen a remarkable growth in the size and complexity of organizations . The artisans ' small shops of an earlier era have ...
1 Introduction 1.1 THE ORIGINS OF OPERATIONS RESEARCH Since the advent of the industrial revolution , the world has seen a remarkable growth in the size and complexity of organizations . The artisans ' small shops of an earlier era have ...
Page 3
Thus , in a certain sense , operations research involves creative scientific research into the fundamental properties of operations . However , there is more to it than this . Specifically , OR is also concerned with the practical ...
Thus , in a certain sense , operations research involves creative scientific research into the fundamental properties of operations . However , there is more to it than this . Specifically , OR is also concerned with the practical ...
Page 20
A system of this type was developed for Texaco ' to help plan and schedule its blending operations at its various refineries . Called OMEGA ( Optimization Method for the Estimation of Gasoline Attributes ) , it is an interactive system ...
A system of this type was developed for Texaco ' to help plan and schedule its blending operations at its various refineries . Called OMEGA ( Optimization Method for the Estimation of Gasoline Attributes ) , it is an interactive system ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero