Research of a Mold Job Shop Scheduling Optimization Based on Particle Swarm Optimization Algorithm

Abstract:

Job shop scheduling is a key part of production management and control for manufacturing enterprises. An optimized scheduling is helpful for enterprise to strengthen its efficiency and competition. And particle swarm optimization is a young algorithm of swarm intelligence. So application and research of job shop scheduling based on particle swarm optimization has important practical significance. This paper analyze and diagnose the scheduling status of a mold manufacturing workshop, taking minimize make span and average of AI based on fuzzy processing-time and delivery as optimizing target, model the scheduling for the manufacturing of CQD-035. Eventually, programming on the platform of MATLAB7.0.1 using the discrete particle swarm algorithm, a satisfactory scheduling scheme is obtained.

• Periodical: Applied Mechanics and Materials (Volume 757)
• Pages: 201-207
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.757.201
• Online since: April 2015
• Authors: Xiu Ju Lan, Dan Dan Su
• Keywords: Fuzzy Processing, Job Shop Scheduling, PSO

References

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DOI: 10.1007/11785231_39