工业工程 ›› 2018, Vol. 21 ›› Issue (3): 65-74.doi: 10.3969/j.issn.1007-7375.2018.03.008

• 实践与应用 • 上一篇    下一篇

基于改进粒子群算法的高效船体分段制造优化

蒋革1, 冯定忠2, 朱伟杭3   

  1. 1. 浙江工业大学 之江学院, 浙江 杭州 310024;
    2. 浙江工业大学 机械工程学院, 浙江 杭州 310014;
    3. 拉马尔大学 工业工程系, 美国 得克萨斯州 博蒙特 77710
  • 收稿日期:2017-12-04 出版日期:2018-06-30 发布日期:2018-06-20
  • 作者简介:蒋革(1973-),男,浙江省人,副教授,博士,主要研究方向为工业工程、先进造船技术等
  • 基金资助:
    浙江省公益技术应用研究计划资助项目(2014C33112);浙江省船舶工业转型升级重点资助项目(2014C30)

Optimization of Efficient Hull Block Manufacturing Based on Improved Particle Swarm Optimization

JIANG Ge1, FENG Dinzhong2, ZHU Weihang3   

  1. 1. Zhijiang College, Zhejiang University of Technology, Hangzhou 310024, China;
    2. School of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China;
    3. Department of Industrial Engineering, Lamar University, Beaumont 77710, Texas, USA
  • Received:2017-12-04 Online:2018-06-30 Published:2018-06-20

摘要: 针对船体分段制造计划通常受到分段装焊场地、作业设备和作业工序等因素限制,以按需拉动、负荷平衡、缩短周期为优化目标,构建了高效分段制造作业计划优化模型。考虑作业优化模型变量离散和非线性问题,采用改进的粒子群算法,对优化模型进行求解。通过对某船厂实例分析,经Matlab编程运行,表明优化算法对提高分段制造产能、缩短建造周期具有较为明显的效果。

关键词: 船体分段, 作业计划, 改进粒子群算法

Abstract: An optimization model of efficient ship hull block manufacturing scheduling is presented. The model seeks to drive the production with a pull system, balance the load, and shorten the production cycle. The hull block manufacturing schedule is usually restricted by the assembling and welding sites, operation equipment and working procedure. An improved particle swarm optimization algorithm is used to solve the optimization model with discrete and nonlinear variables. A real-world case study from a shipyard is taken as an example to verify the effectiveness of the model. The implementation is done in MATLAB. The computational experiment result shows that the optimization algorithm is effective in improving the hull production capacity and shortening the construction cycle.

Key words: hull block, manufacturing schedule, particle swarm optimization

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