Design and Development of a Knowledge-based Framework for Trouser Procurement: Bid Evaluation Software Tool (BEST); Volume III: Additional Reports and Papers.

Abstract

Research has been carried out to design and develop BEST (Bid Evaluation Software Tool) a knowledge-based decision support system for evaluating the capability of an apparel manufacturer to perform on a contract. BEST has been developed in cooperation with major apparel manufacturers and has been successfully field-tested in collaboration with Levi Strauss & Company. BEST is implemented in Level-5 Object and runs under the MS-Windows environment on IBM-compatible personal computers. This research effort has realized the vision of creating a knowledge-based decision support system for the objective evaluation of apparel contractors who can deliver the right quality product at the right time and at the right price. In doing so, it has pioneered the concepts of 'vendor pre-qualification' and 'vendor certification' central to effective and successful supply chain management. Finally, the 'terms of engagement' module in BEST represents the first known successful effort to quantitatively assess the 'working conditions' in apparel plants - a key requirement as apparel manufacturing turns global. This volume (the third of three volumes) is a compilation of key reports and papers from the research.

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Document Details

Document Type
Technical Report
Publication Date
Mar 14, 1996
Accession Number
ADA328726

Entities

People

  • Naveen Krishna
  • S. Venkataraman
  • Sambasivan Narayanan
  • Sundaresan Jayaraman

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Commerce
  • Computer Programming
  • Computers
  • Contractors
  • Contracts
  • Control Systems
  • Decision Support Systems
  • Information Systems
  • Manufacturing
  • Operating Systems
  • Organizational Structure
  • Personnel Management
  • Procurement
  • Supply Chain
  • Supply Chain Management
  • Test And Evaluation

Readers

  • Database Systems and Applications
  • Industrial Economics
  • Materials Science.