Research on job shop scheduling aiming at Instant Customerisation

The characteristic of instant customerization (IC) production model and its job-shop scheduling problem is described. Considering the conventional algorithmspsila low efficiency of search especially global search, PSO-based to job shop scheduling problem of IC is presented. According to the characteristics of the problem, the PSO coding and optimization are studied to determine the way of coding and operation, which is more adaptable to job shop scheduling. The job shop scheduling part of the system is then programmed with the algorithm. Simulation results show that setting the suitable parameters can provide an suitable working sequence to adapt to the IC job-shop problem. At last, a suggestion about this problem is presented.

[1]  Raymond T. Yeh,et al.  Zero Time™: A Conceptual Architecture for 21 st Century Enterprises , 1998 .

[2]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[3]  Zhou Bosheng.  Zero Time:a Conceptual Architecture for 21st Century Enterprises , 2000 .

[4]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[5]  Peter Brucker,et al.  Job-shop scheduling with limited capacity buffers , 2006, OR Spectr..

[6]  Yang Guangyou,et al.  A Modified Particle Swarm Optimizer Algorithm , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[7]  M. El-Hawary,et al.  Enhancing the particle swarm optimizer via proper parameters selection , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[8]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[9]  Randall S. Schuler.  A Case Study of the HR Department at Swiss Bank Corporation , 1988 .

[10]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[11]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[12]  Jerry Wind,et al.  Customerization: The next revolution in mass customization , 2001 .

[13]  Richard J. Tersine,et al.  Global customerization of markets has arrived , 1998 .