Study on maritime logistics warehousing center model and precision marketing strategy optimization based on fuzzy method and neural network model

• Autorzy: Xiao K. , Hu X.

Identyfikatory

DOI

10.1515/pomr-2017-0061

• Języki publikacji: EN

Abstrakty

EN

The bulk commodity, different with the retail goods, has a uniqueness in the location selection, the chosen of transportation program and the decision objectives. How to make optimal decisions in the facility location, requirement distribution, shipping methods and the route selection and establish an effective distribution system to reduce the cost has become a burning issue for the e-commerce logistics, which is worthy to be deeply and systematically solved. In this paper, Logistics warehousing center model and precision marketing strategy optimization based on fuzzy method and neural network model is proposed to solve this problem. In addition, we have designed principles of the fuzzy method and neural network model to solve the proposed model because of its complexity. Finally, we have solved numerous examples to compare the results of lingo and Matlab, we use Matlab and lingo just to check the result and to illustrate the numerical example, we can find from the result, the multi-objective model increases logistics costs and improves the efficiency of distribution time.

Słowa kluczowe

EN

maritime logistics warehousing center mode; precision marketing strategy optimization; fuzzy method; neural network model; polarity reversal

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 2
• Strony: 30--38
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Xiao K.

• Economics and Management School Wuhan University Wuhan Hubei 430074 China tel.: [phone]

autor

Hu X.

• Economics and Management School Wuhan University, Wuhan, Hubei 430074, China

Bibliografia

• 1. Psaraftis H N: Green Maritime Logistics: The Quest for Win-win Solutions. Transportation Research Procedia, Vol. 14, pp. 133-142, 2016.
• 2. Parola F, Satta G, Panayides P M: Corporate strategies and profitability of maritime logistics firms. Maritime Economics & Logistics, Vol. 17, no. 1, pp.52-78, 2015.
• 3. Bell M G H, Meng Q: Special issue in Transportation Research Part B – Shipping, port and maritime logistics. Transportation Research Part B Methodological, Vol. 93, pp. 697-699, 2016.
• 4. Seo Y J, Dinwoodie J, Roe M: The influence of supply chain collaboration on collaborative advantage and port performance in maritime logistics. International Journal of Logistics, Vol. 19, no. 6, pp. 1-21, 2016.
• 5. Wang, S.j., Yuan, P., Li, D., Jiao, Y.H.: An overview of ocean renewable energy in China, Renew Sustain Energy Rev, Vol. 15, no. 1, pp. 91-111, 2011.
• 6. López, I., Andreu, J., Ceballos, S., Alegría, I.M.D., Kortabarria, I.: Review of wave energy technologies and the necessary powerequipment, Renewable and Sustainable Energy Reviews, Vol. 27, no. 6, pp. 413-434, 2013.
• 7. Coiro, D.P., Troise, G., Calise, G., Bizzarrini, N.: Wave energy conversion through a point pivoted absorber: Numerical and experimental tests on a scaled model, Renewable Energy, Vol. 87, no. 1, pp. 317-325, 2016.
• 8. Martínez, M., Molina, M.G., Machado, I.R.: Mercado, P.E., Watanabe, E.H., Modelling and simulation of wave energy hyperbaric converter (WEHC) for applications in distributed generation, International Journal of Hydrogen Energy, Vol. 37, no. 9, pp. 14945-14950, 2012.
• 9. Gaspar, J.F., Calvário, M., Kamarlouei, M., Guedes Soares, C.: Power take-off concept for wave energy converters based on oilhydraulic transformer units, Renewable Energy, no. 86, pp. 12321246, 2016.
• 10. Yang, L., Hals, J., Moan, T.: Analysis of dynamic effects relevant for the wear damage in hydraulic machines for wave energy conversion, Ocean Engineering. Vol. 37, no, 13, pp. 1089-1102, 2010.
• 11. Falcão, A. F. de O.: Modelling and control of oscillating-body wave energy converters with hydraulic power take-off and gas accumulator, Ocean Engineering, Vol. 34, no. 14-15, pp. 20212032, 2007.
• 12. Virvalo, T.: Hydraulic systems in wave energy application, 1st edn, World Publishing Corporation, China, pp. 56–60, 2009.
• 13. Lin, Y, G., and Huang, W., Zhang, D.F., Li, W., Bao, J.W.: Application of Hydraulic System in Wave Energy Converter, Electrical, Information Engineering and Mechatronics 2011, Lecture Notes in Electrical Engineering. Vol. 138, pp. 275-283, 2012.
• 14. Wang, C.W., Jiao, Z.X., Wu, S., Shang, Y.X.: An experimental study of the dual-loop control of electro-hydraulic load simulator, Chinese Journal of Aeronautics, Vol. 26, no. 6, pp. 1586-1595, 2013.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).