Recycling Decision Support System: Design and Development of a Web-Based DSS

Abstract

The explosive growth of the World Wide Web creates new opportunities for the development and deployment of Decision Support Systems. No longer restricted by machine-specific limitations, Web-based Decision Support Systems (DSS) provide global access to widely diversified and geographically dispersed users through sharing of data, models, algorithms, and modeling environments. This thesis examines the design and development processes involved in the creation of a Web-based DSS. The Recycling Decision Support System utilizes a rapid prototype and refinement process to create a Web-based system focusing on supporting ordinary people and industrial users in making good decisions for recycling and disposal of household and industrial waste. Through abstraction of details from the specific Web-based DSS design, a generalized framework for supporting decision-making via the WWW is built which supports functionality in education, queries, and analysis of complex problems. An important aspect of this research is the development of a new architecture which conforms to the complexities specific to Web-based Decision Support Systems. Prompted by the additional interactions required for WWW connectivity, this architecture incorporates agents for negotiating transactions between the functional components of a standard DSS.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA328887

Entities

People

  • Clayton G. Tettelbach

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Decision Support Systems
  • Education
  • Information Processing
  • Information Systems
  • Internet
  • Mathematical Models
  • Network Computing
  • Network Protocols
  • User Interface
  • Waste Products
  • Web Browsers
  • Word Processors
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Environmental Engineering.