Welcome to Scholar Publishing Group

Frontiers in Ocean Engineering, 2021, 2(4); doi: 10.38007/FOE.2021.020405.

Quality Management Improvement of Ocean Engineering Projects Based on Genetic Algorithm

Author(s)

Rasa Lillien

Corresponding Author:
Rasa Lillien
Affiliation(s)

Binghamton University State University of New York, The United States of America

Abstract

Quality management in offshore engineering is one of the key processes to strengthen the overall management of offshore engineering projects, and its quality can directly affect the state and final effect of offshore platforms in the actual construction process. The purpose of this paper is to study the improvement of engineering project quality management based on genetic algorithm. The characteristics of the quality management of marine engineering projects are studied, and the quality management mode of marine engineering projects is formed based on the idea of improving the quality management of marine engineering projects. Construction project quality management system composition. At the same time, through the comparative analysis of example simulation and calculation results, it is concluded that after optimization, the total construction period of offshore engineering project one is reduced by 21, and the total construction period of project two is reduced by 26, which verifies the feasibility, effectiveness and superiority of the composite genetic-simulated annealing algorithm.

Keywords

Genetic Algorithm, Ocean Engineering, Project Quality, Management Improvement

Cite This Paper

Rasa Lillien. Quality Management Improvement of Ocean Engineering Projects Based on Genetic Algorithm. Frontiers in Ocean Engineering (2021), Vol. 2, Issue 4: 35-43. https://doi.org/10.38007/FOE.2021.020405.

References

[1] Labianca C , Gisi S D , Notarnicola M . Assessing the correlation between contamination sources and environmental quality of marine sediments using multivariate analysis. Environmental engineering and management journal, 2018, 17(10):2391-2399. https://doi.org/10.30638/eemj.2018.237

[2] Anisimov A N , Furgasa D M , Menshikov V I . Methodological problems in algorithm planning procedures of program and target management of vessel safety. Vestnik Of Astrakhan State Technical University Series Marine Engineering And Technologies, 2020, 2020(4):7-15. https://doi.org/10.24143/2073-1574-2020-4-7-15

[3] Cooper N , Cooke S . Considerations for dealing with unexploded ordnance on maritime engineering projects. Proceedings of the Institution of Civil Engineers, 2018, 171(MA3):121-131. https://doi.org/10.1680/jmaen.2017.30

[4] Paglialonga L , Springer P , Mehrtens H , et al. Research Data Management.. J Med Libr Assoc, 2018, 103(3):154-156. https://doi.org/10.3163/1536-5050.103.3.011

[5] Kim H I , Shin Y J . A Study on the Impact on Management Performance of Hidden Champions Using Blue Ocean Strategy to Develop a New Product. Journal of Society of Korea Industrial and Systems Engineering, 2020, 43(1):42-49. https://doi.org/10.11627/jkise.2020.43.1.042

[6] Kwon K Y , Lee J . Fabrication Assessment Method for Dimensional Quality Management of Curved Plates in Shipbuilding and Offshore Structures. Journal of Ocean Engineering and Technology, 2018, 32(2):106-115. https://doi.org/10.26748/KSOE.2018.4.32.2.106

[7] Sahoo B , Bhaskaran P K . Multi-hazard risk assessment of coastal vulnerability from tropical cyclones – A GIS based approach for the Odisha coast. Journal of Environmental Management, 2018, 206(JAN.15):1166-1178. https://doi.org/10.1016/j.jenvman.2017.10.075

[8] Raja A , Gopal S , Manoharan K , et al. Coastal Pollution Management Plan in Odisha Coast. International Journal of Recent Technology and Engineering, 2019, 8(2S11):2994-3004. https://doi.org/10.35940/ijrte.B1383.0982S1119

[9] Onaka S , Ichikawa S , Izumi M , et al. Implementaion Of Adaptive Management On Gravel Beach Nourishment In Tuvalu. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering), 2018, 74(2):I_797-I_801. https://doi.org/10.2208/jscejoe.74.I_797

[10] Utne I B , Schjolberg I , Roe E . High reliability management and control operator risks in autonomous marine systems and operations. Ocean Engineering, 2019, 171(JAN.1):399-416. https://doi.org/10.1016/j.oceaneng.2018.11.034

[11] Yasseri S F , Bahai H . Availability assessment of subsea distribution systems at the architectural level. Ocean Engineering, 2018, 153(APR.1):399-411. https://doi.org/10.1016/j.oceaneng.2018.01.099

[12] Dawid H , Kopel M . on economic applications of the genetic algorithm: a model of the cobweb type*. Journal of Evolutionary Economics, 2019, 8(3):297-315. https://doi.org/10.1007/s001910050066

[13] Hossain D , Capi G , Jindai M . Optimizing Deep Learning Parameters Using Genetic Algorithm for Object Recognition and Robot Grasping. Journal of Electronic ence & Technology, 2018, v.16(01):13-17.

[14] Mustafa A , Heppenstall A , Omrani H , et al. Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm. Computers, Environment and Urban Systems, 2018, 67(jan.):147-156. https://doi.org/10.1016/j.compenvurbsys.2017.09.009

[15] Krol A , Sierpinski G . Application of a Genetic Algorithm With a Fuzzy Objective Function for Optimized Siting of Electric Vehicle Charging Devices in Urban Road Networks. IEEE Transactions on Intelligent Transportation Systems, 2021, PP(99):1-12.

[16] Martowibowo S Y , Damanik B K . Optimization of Material Removal Rate and Surface Roughness of AISI 316L under Dry Turning Process using Genetic Algorithm. Manufacturing Technology, 2021, 21(3):373-380. https://doi.org/10.21062/mft.2021.038

[17] Alshheri M , Sharma P ,  Sharma R , et al. Motion-Based Activities Monitoring through Biometric Sensors Using Genetic Algorithm. Computers, Materials and Continua, 2021, 66(3):2525-2538. https://doi.org/10.32604/cmc.2021.012469

[18] Gamal M , Elsawy A , Atta A . Hybrid Algorithm Based on Chicken Swarm Optimization and Genetic Algorithm for Text Summarization. International Journal of Intelligent Engineering and Systems, 2021, 14(3):319-131. https://doi.org/10.22266/ijies2021.0630.27