Cut Order Planning. Short Term Task, Final Report

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 in 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 used i 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. Production Planning, Cut Order Planning Software, Apparel Manufacturing.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1991
Accession Number
ADA249096

Entities

People

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

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Experimental Design
  • Heuristic Methods
  • Manufacturing
  • Materials
  • Mathematical Models
  • Operations Research
  • Production
  • Production Planning
  • Standards
  • Statistical Analysis
  • Systems Engineering

Readers

  • Defense Technology Research and Development.
  • Operations Research
  • Software Engineering.