• Title of article

    Gene expression programming based due date assignment in a simulated job shop

  • Author/Authors

    Baykaso?lu، نويسنده , , Adil and G?çken، نويسنده , , Mustafa، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    8
  • From page
    12143
  • To page
    12150
  • Abstract
    In this paper, a new approach for due date assignment in a multi-stage job shop is proposed and evaluated. The proposed approach is based on a genetic programming technique which is known as gene expression programming (GEP). GEP is a relatively new member of the genetic programming family. The primary objective of this research is to compare the performance of the proposed due date assignment model with several previously proposed conventional due date assignment models. For this purpose, simulation models are developed and comparisons of the due date assignment models are made mainly in terms of the mean absolute percent error (MAPE), mean percent error (MPE) and mean tardiness (MT). Some additional performance measurements are also given. Simulation experiments revealed that for many test conditions the proposed due date assignment method dominates all other compared due date assignment methods.
  • Keywords
    Flowtime estimation , Simulation , Gene Expression Programming , Due date assignment
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2009
  • Journal title
    Expert Systems with Applications
  • Record number

    2347005