Cut Order Planning. Short Term Task, Software Requirements Specification and Software Users Manual

Abstract

This report details the results of a research project conducted at the Georgia Institute of Technology which investigated methods for improving cut order planning in apparel manufacturing. The project had two complementary objectives. The first objective was to investigate existing solution methodologies for the cut order planning problem. Alternate commercial software packages were examined and their performances comparatively analyzed, using testbed data representative of industrial problems. The results of this research provide important insights into the state-of-the-art COP solution methods. A mathematical model of the COP problem was developed to facilitate problem specification and to initiate heuristic development. As a result of the complexity analysis, the COP problem was shown to be sufficiently complex that heuristic methods are the only reasonable means of finding solutions in real time. New methods were developed which perform as well as or better than those use existing commercial packages. These algorithms have been implemented in a prototype software package for easy incorporation into existing commercial software, and will be transferred to industry through a participating s/w vendor.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1991
Accession Number
ADA249097

Entities

People

  • Avril Baker
  • Bill Warden
  • Charlotte Jacobs-blecha
  • Jane Ammons
  • Terri Smith

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • C Programming Language
  • Computations
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Directories
  • Language
  • Manufacturing
  • Operating Systems
  • Programming Languages
  • Software Development
  • Software Development Tools
  • Specifications
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Systems Analysis and Design