Title :
Genetic Algorithm on Solving Mould Enterprise´s Job-Shop Scheduling Problem
Author :
Liu, Zhifeng ; Liao, Linghao ; Yang, Wentong ; Wang, Jianhua ; Zhao, Yongsheng
Author_Institution :
Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China
Abstract :
Take the general kind of mold´s processing for example, the paper analyzes the mold machining process and workpiece characteristics. Base on the mathematical model of job shop scheduling system, the paper establishs the production unit allocation method, utilizes the robustness of Genetic Algorithm, proposes the idea of job-shop scheduling algorithm. Especially, the paper gives the detail design and calculation.
Keywords :
genetic algorithms; job shop scheduling; machinery production industries; machining; moulding; production engineering computing; genetic algorithm; job-shop scheduling problem; mold machining process; mould enterprise; production unit allocation method; Algorithm design and analysis; Genetic algorithms; Job production systems; Job shop scheduling; Large-scale systems; Machining; Paper technology; Robustness; Scheduling algorithm; Transportation; Genetic Algorithm; job-shop scheduling algorithm; mold;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.17
