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
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;
Conference_Titel :
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location :
Awaji
Print_ISBN :
978-1-4244-7295-6
DOI :
10.1109/ICCIE.2010.5668346