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9 September 2019 Low-carbon Marine Logistics Network Design under Double Uncertainty of Market Demand and Carbon Trading Price
Wei Wang, Ying Ren, Wenliang Bian, Xinyue Jia
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Abstract

Wang, W.; Ren, Y.; Bian, W., and Jia, X., 2019. Low-carbon marine logistics network design under double uncertainty of market demand and carbon trading price. 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. 30–39. Coconut Creek (Florida), ISSN 0749-0208.

This paper discusses the low-carbon marine logistics network design problem under the uncertainty of market demand and carbon emission price, and aims at the minimum cost of shipping logistics network operation (including carbon emission cost), and constructs a three-level marine logistics network site-distribution model based on scenario. The problem is transformed into an unconstrained optimization problem by the penalty function method, and the artificial bee colony algorithm (ABC) is used to solve the model. The study found that the moderate fluctuation of demand is conducive to the integration effect of the marine logistics network, which reduces the total cost of the logistics network. Finally, the validity of the model is verified by an example analysis of a domestic industrial product manufacturer.

©Coastal Education and Research Foundation, Inc. 2019
Wei Wang, Ying Ren, Wenliang Bian, and Xinyue Jia "Low-carbon Marine Logistics Network Design under Double Uncertainty of Market Demand and Carbon Trading Price," Journal of Coastal Research 94(sp1), 30-39, (9 September 2019). https://doi.org/10.2112/SI94-007.1
Received: 18 March 2019; Accepted: 21 April 2019; Published: 9 September 2019
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KEYWORDS
artificial bee colony algorithm
Carbon trade
logistics network design
low-carbon marine logistics
penalty function
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