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9 September 2019 Research on Environmental Assessment Model of Shipyard Workshop Based on Green Manufacturing
Wei Zhou, Jun Wang, Xiao Zhu
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Zhou, W.; Wang, J., and Zhu, X., 2019. Research on environmental assessment model of shipyard workshop based on green manufacturing. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 16–20. Coconut Creek (Florida), ISSN 0749-0208.

The environment and resources are major issue faced by mankind in the new century. With the increase of marine resources acquisition and marine logistics trade, the shipbuilding industry has been promoted, while the pollution problem of shipyard workshops has become the focus of environmental research. For this, this paper introduces green manufacturing into the environmental quality assessment system of shipyard workshop, to further evaluate the shipyard workshop environment quality. Then, it establishes the neural network (NN) model of workshop environmental assessment model. The research results show that dust pollution, noise pollution and CO harmful gas pollution are the main pollutant sources in the shipyard workshop environment, and the test results at different time and measurement points also vary in the same production workshop. Finally, the NN model established in this paper was used to make the environmental assessment of the shipyard workshop, finding that the environmental quality of the tube processing workshop in Dalian Shipbuilding Industry Factory is assessed to be good, while that of the steel processing workshop is unqualified. This paper provides a theoretical basis for the green manufacturing of shipyards.

©Coastal Education and Research Foundation, Inc. 2019
Wei Zhou, Jun Wang, and Xiao Zhu "Research on Environmental Assessment Model of Shipyard Workshop Based on Green Manufacturing," Journal of Coastal Research 94(sp1), 16-20, (9 September 2019).
Received: 22 January 2019; Accepted: 3 March 2019; Published: 9 September 2019

environmental quality
marine resources
neural network (NN) model
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