Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm

Author:

Yuan Feihui12,Li Jinghua13,Zhou Qinghua3ORCID,He Ming1

Affiliation:

1. College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China

2. Shanghai Waigaoqiao Shipbuilding Co. Ltd., Shanghai 200000, China

3. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China

Abstract

The development of the cruise industry is an important part of the country’s “Marine power” and “One Belt, One Road” strategy. Improving the independent construction of cruise ships is of great significance to my country’s economic and social development. Aiming at the problem of the assembly order of cruise ship outfitting parts are many, the quantity is large, and the interchangeability of materials is higher than that of conventional ships, a cruise ship outfitting on-board assembly scheduling problem model is constructed, and a cruise ship outfitting on-board assembly material scheduling method oriented to generally outfitting is proposed. The improved genetic algorithm is used to dispatch the materials on the outfitting ships to realize the optimal utilization of the materials and materials, and the effectiveness of the method is proved by the example verification.

Funder

Ministry of Industry and Information Technology of the People's Republic of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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