Genetic algorithm-based insulation box line layout optimization for LNG ship

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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorLi, Shu-Xia
dc.contributor.authorFan, Ti-Jun
dc.contributor.authorLi, Lin
dc.contributor.authorFang, Chen-Hao
dc.contributor.authorYang, Hao
dc.date.accessioned2022-07-11T17:35:33Z
dc.date.available2022-07-11T17:35:33Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractTo 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.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0525
dc.identifier.urihttps://hdl.handle.net/20.500.12588/989
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectPlant layout--Computer simulation
dc.subjectProduction management
dc.subjectLiquefied gas carriers--Design and construction
dc.subjectGenetic algorithms
dc.titleGenetic algorithm-based insulation box line layout optimization for LNG ship
dc.typeArticle

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