The Optimization Method of Quick Response Manufacturing System Based on the Genetic Algorithm

Author

Liang, Liang ; Guo, Bo

Author_Institution

Sch. of Automobile & Machinery Eng., Changsha Univ. of Sci. & Technol., Changsha, China

fYear

2010

fDate

13-15 Aug. 2010

Firstpage

20

Lastpage

23

Abstract

Quick response is the basic characteristics of the advanced manufacturing system. The design iteration and the uncertain time in the Product Development Process(PDPs) will influence the product development time. Through the analysis of the iterated product development process, considering the design iteration and the uncertain time of the design activities in the PDPs simultaneous, an optimization model, based on the Markov process and Genetic Algorithm(GA), was built to improve the PDPs. The case demonstrates the model methods and the detail process to working out parameters in the optimized model.

Keywords

genetic algorithms; iterative methods; manufacturing systems; product development; Markov process; advanced manufacturing system; design iteration; genetic algorithm; iterated product development process; optimization method; product development time; quick response manufacturing system; uncertain time; Fitting; Manufacturing systems; Markov processes; Optimization methods; Probability distribution; Product development; Design iteration; Genetic algorithm; PH distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-7575-9

Type

conf

DOI

10.1109/BIFE.2010.15

Filename

5621720