Cart (Loading....) | Create Account
Close category search window

Online multiobjective single machine dynamic scheduling with sequence-dependent setups using simulation-based genetic algorithm with desirability function

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ang, A.T.H. ; Nanyang Technol. Univ., Singapore ; Sivakumar, A.I.

This paper presents a simulation-based genetic algorithm with desirability function (SIMGAD) that could be used on-line for the dynamic scheduling of a single machine with sequence-dependent setups. The weights used to combine the criteria (dispatching rules) into a single rule using linear weighted aggregation is determined by genetic algorithm (GA). The GA evaluates the performance of each set of weights with discrete-event simulation that returns a fitness value after multiple performance measures (objectives) are each expressed as a desirability function and combined into a single objective function. An illustrative simulation example based on the scheduling of an ion implanter machine in wafer fabrication plant shows that SIMGAD works effectively in solving the multiobjective scheduling problem with capability of handling user preference in decision making to achieve the desired performances.

Published in:

Simulation Conference, 2007 Winter

Date of Conference:

9-12 Dec. 2007

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.