文献类型：会议论文

英文题名：Genetic algorithm-based insulation box line layout optimization for LNG ship

作者：Li, Shu-Xia[1]; Fan, Ti-Jun[1]; Li, Lin[1]; Fang, Chen-Hao[1]; Yang, Hao[1]

机构：[1] School of Business, East China University of Science and Technology, Shanghai, 200237, China

会议论文集：FAIM 2014 - Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing: Capturing Competitive Advantage via Advanced Manufacturing and Enterprise Transformation

会议日期：May 20, 2014 - May 23, 2014

会议地点：San Antonio, TX, United states

语种：英文

外文关键词：Problem solving - Ships - Manufacture - Production efficiency - Competition

摘要：To build the first LNG ship in China, production efficiency and cost pose an urgent problem when designs its layout. Considering the real logistics types in insulation box line for LNG ship, a multi-line facility layout problem is first proposed. Then, a genetic algorithm with combinational coding schema and crossover operators is put forward to solve the problem. In this way, both sequence and coordinate of machine can be coded. Accordingly, partial and arithmetic crossovers are used to minimize the logistics cost of box line. In addition, 27 machines with rectangle contours in box pre-processing area are optimized using this algorithm. Through a case study using logistics and size data, the result shows that this genetic algorithm is effective. ? Copyright 2014 by DEStech Publications, Inc. All rights reserved.