Decision support systems combine models, data, and information
technology for effective decision-making and are becoming increasingly
popular in business and industry. Developing Web-Enabled Decision Support
Systems is a comprehensive book that describes how to build data-driven,
web-enabled decision support systems using a Microsoft Access database, VB
.NET, and an ASP .NET framework and illustrates it using several case
studies arising in Management, Engineering, and Operations Research. The
main contribution of the book is to present all the techniques needed to
build complete decision support systems in a highly accessible manner
through numerous hands-on tutorials. This book is ideally suited as a
textbook for teaching undergraduate- and graduate-level courses in any
branch of science, engineering, and management but can also be used as a
supplementary reference book or a self-study manual. The book contains five
parts:
Part I - Principles of Good Database Design: This part of the book
covers entity-relationship diagrams, creating relational databases, and
normalizing databases.
Part II - Database Development with Microsoft Access: This part
describes how to create tables using Microsoft Access, establish
relationship between tables, and manipulate tables using Access queries or
using Structured Query Language (SQL).
Part III - Windows Application Development with VB .NET: The topics
for this part include the Visual Studio development environment,
object-oriented and visual programming, database connectivity using ADO
.NET, and Crystal Report .NET.
Part IV - Web Application Development with ASP .NET: This part
illustrates the process of developing web applications by introducing HTML,
ASP .NET, and database connectivity in Web applications.
Part V - Case Studies: This part presents several case studies of
decision support systems arising in different application settings
including Online Book Store, Portfolio Management and Optimization, and
Television Advertisement Allocation.
Abhijit A. Pol is a researcher in the Department of
Computer and Information Science and Engineering at the University of
Florida, Gainesville. His research focus is in the area of databases with
special interests in approximate query processing and physical database
design.
Ravindra K. Ahuja is a Professor in the Industrial and Systems
Engineering at the University of Florida, Gainesville. He is also the
President of Innovative Scheduling, Inc., which specializes in building
decision support systems for planning and scheduling problems arising in
the field of transportation.
