Title :
Scheduling and planning problem in manufacturing systems with multiobjective genetic algorithm
Author :
Li, Y. ; Man, K.F.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
fDate :
31 Aug-4 Sep 1998
Abstract :
In this paper an extensive earliness/tardiness production scheduling and planning (ETPSP) model with lot-size consideration and capacity balance is proposed. An innovative approach using a multiobjective genetic algorithm (MOGA) is designed as its solutions. The presented MOGA approach can even deal with ETPSP problem which consists of highly complicated and nonlinear functions for the measure performance. The effectiveness of this approach is demonstrated by simulation results as well as the comparisons with other techniques
Keywords :
genetic algorithms; manufacturing industries; manufacturing resources planning; nonlinear functions; production control; scheduling; MRP-II; capacity balance; extensive earliness/tardiness production scheduling; just-in-time; lot-size consideration; manufacturing resource planning; manufacturing systems planning; manufacturing systems scheduling; multiobjective genetic algorithm; multiobjective optimisation; nonlinear functions; simulation; Algorithm design and analysis; Capacity planning; Electronic mail; Genetic algorithms; Inventory management; Job shop scheduling; Large-scale systems; Manufacturing systems; Materials requirements planning; Production planning;
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
DOI :
10.1109/IECON.1998.724135
