DocumentCode
1653928
Title
A multi-objective hybrid genetic algorithm for solving invoice printing scheduling problem
Author
Zhou, Zhili ; Zhang, Yan
Author_Institution
Sch. of Manage., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2010
Firstpage
1
Lastpage
6
Abstract
This paper considers a multi-objective order scheduling problem in a multi-page invoice printing system which contains four main stages. The invoices usually contain several pages in duplicate or triplicate, thus the different pages are firstly printed in separated printing lines and then assembled together to become multi-page invoices. The objectives considered are the minimization of the makespan, the average flowtime and the maximum tardiness for all the invoice orders. A multi-objective hybrid genetic algorithm is proposed for solving the problem. Numerical experiments indicate that the algorithm is efficient and effective.
Keywords
genetic algorithms; invoicing; scheduling; average flowtime; invoice orders; invoice printing scheduling problem; maximum tardiness; minimization; multiobjective hybrid genetic algorithm; multiobjective order scheduling problem; multipage invoice printing system; multipage invoices; printing lines; Approximation algorithms; Approximation methods; Assembly; Biological cells; Job shop scheduling; Printing; genetic algorithm; multi-objective optimization; order scheduling problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location
Awaji
Print_ISBN
978-1-4244-7295-6
Type
conf
DOI
10.1109/ICCIE.2010.5668346
Filename
5668346
Link To Document