Network modeling and evolutionary optimization for manufacturing systems

Author

Lin, Lin ; Gen, Mitsuo

Author_Institution

Dalian Univ. of Technol., Dalian, China

fYear

2010

Firstpage

1

Lastpage

6

Abstract

Advanced planning and scheduling (APS) refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. How to formulate the complex problems of APS and find satisfactory solutions play an important role in manufacturing systems. In this paper, we propose a scheduling formulation method by combining the graph theory and combinatorial optimization. Then we propose service-oriented evolutionary computation architecture (SoECA), as an optimization tool for solving the scheduling models.

Keywords

evolutionary computation; graph theory; manufacturing resources planning; manufacturing systems; optimisation; scheduling; advanced planning; combinatorial optimization; evolutionary optimization; graph theory; manufacturing management; manufacturing system; manufacturing systems; network modeling; scheduling formulation method; service-oriented evolutionary computation architecture; Computational modeling; Evolutionary computation; Graphical user interfaces; Job shop scheduling; Mathematical model; Planning; Processor scheduling; advanced planning and scheduling; evolutionary compuation; network modeling;

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.2010.5668423

Filename

5668423