Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Sequence and due date assignment with uncertain processing times and mixed penalty functions

Sequence and due date assignment with uncertain processing times and mixed penalty functions This research considers a single machine production system with stochastic processing times. Since complete distribution information of the processing time of each job is difficult or impossible to achieve, we introduce a heuristic procedure using only mean and variance information. An objective function combining three penalties: quadratic penalty on job earliness, quadratic penalty on job tardiness and linear penalty associated with long due date assignment is studied. Numerical tests indicate that our procedure performs better than the method only considering mean information. Furthermore, the performance of the proposed procedure is robust to job processing time distributions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business and Systems Research Inderscience Publishers

Sequence and due date assignment with uncertain processing times and mixed penalty functions

Loading next page...
 
/lp/inderscience-publishers/sequence-and-due-date-assignment-with-uncertain-processing-times-and-uHOPXtIG0d
Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1751-200X
eISSN
1751-2018
DOI
10.1504/IJBSR.2008.020578
Publisher site
See Article on Publisher Site

Abstract

This research considers a single machine production system with stochastic processing times. Since complete distribution information of the processing time of each job is difficult or impossible to achieve, we introduce a heuristic procedure using only mean and variance information. An objective function combining three penalties: quadratic penalty on job earliness, quadratic penalty on job tardiness and linear penalty associated with long due date assignment is studied. Numerical tests indicate that our procedure performs better than the method only considering mean information. Furthermore, the performance of the proposed procedure is robust to job processing time distributions.

Journal

International Journal of Business and Systems ResearchInderscience Publishers

Published: Jan 1, 2008

There are no references for this article.