A Study of the Production Planning and Scheduling Problem in the Apparel Manufacturing Industry. Phase 2

Abstract

The project seeks the development of an on-line apparel production planning and scheduling system based on an accurate estimate of time phased apparel plant capacity. The system implementation consists of two major components: an operator's skill prediction module and a production planning and scheduling module. The first one is developed to predict the skill progress of individual operators with 17 operation-related factors, and to estimate the capacity of an apparel plant over a given planning horizon. The estimate provides a quantitative foundation for generation of accurate production plans and promotes operator's long-term skill growth. Several heuristic algorithms including simulated annealing and neural network are embedded in the scheduling algorithm. The system is coded C++ and implemented on a PC/386 platform with support of the paradox database management system.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 1995
Accession Number
ADA286836

Entities

People

  • Chin-sheng Chen

Organizations

  • Florida International University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computers
  • Database Management Systems
  • Databases
  • Manufacturing
  • Manufacturing Engineering
  • Operating Systems
  • Production
  • Production Control
  • Production Engineering
  • Production Planning
  • Relational Databases
  • Scheduling (Production)
  • Simulators
  • Systems Engineering
  • User Interface

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Defense Technology Research and Development.
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms