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Topology-based approach to the modernization of transport and logistics systems with hybrid architecture. Part 1. Proof-of-concept study

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Industrial companies are linked with affiliated firms, suppliers and customers through the supply chains. Such chains operate within large-scale networks directly related to distribution and warehousing. In order to meet the market demands and customer new expectations, the various components of the supply chains have to be developed i.a. through implementation of the innovative vehicles, green and blue technologies. Moreover, modernization processes of transport and logistics system need to be resistant to crucial mistakes related to innovative solutions implementation in order to exclude domino effect occurrence. The authors attempt to build topology-based approach to the modernization of transport and logistics systems. It is assumed that each innovation application is the independent element-based coalition, possessing linked object structure. The results of multi-year researches demonstrate the offered approach as a useful tool to analyze innovative changes for obsolete transport and logistics system as hybrid structure. The ways of system structure transformation, as well as possible innovative effects are considered. The preliminary results have been obtained for compositions on meso-level for the case of marine propulsion modernisation. The paper is illustrated by various examples.
Rocznik
Strony
105--124
Opis fizyczny
Bibliogr. 45 poz., rys., tab.
Twórcy
  • West Pomeranian University of Technology Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland
  • West Pomeranian University of Technology Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland
Bibliografia
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  • [12] CHEN, Y.M., and WANG, B.-Y., 2009. Towards Participatory Design of Multi-agent Approach to Transport Demands. IJCSI International Journal of Computer Science Issues, 4(1), 10-15.
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  • [15] DAVIDSSON, P., HENESEY, L., RAMSTEDT, L., and TORNQUIST, J., 2005. An analysis of agent-based approaches to transport logistics, Transportation Research Part C, 13, 255-271.
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  • [19] HÖLZL, W., and JANGER, J., 2011. Innovation barriers across firm types and countries, the DIME Final Conference, 6-8 April, Maastricht.
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  • [23] JACYNA-GOŁDA, I., 2015. Decision-making model for supporting supply chain efficiency evaluation. Archives of Transport, 33(1), 17-31.
  • [24] JUMAN, Z. A. M. S., HOQUE, M. A., and BUHARI, M. I., 2013. A study of transportation problem and use of object oriented programming. 3rd International Conference on Applied Mathematics and Pharmaceutical Sciences (ICAMPS'2013), April 29-30, 2013 Singapore, 353-354.
  • [25] KERBACHE, L., and MACCREGOR SMITH J., 2004. Queuing Networks and the Topological Design of Supply Chain Systems. International Journal of Production Economics, 91, 251-272.
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  • [27] KOST, B., 1995. Evolution Strategies in Structural Topology Optimization of Trusses. Computing in Civil and Building Engineering. Proceedings of the 6th Intern. Conf., Rotterdam, 675-681.
  • [28] LAMAS M. I., RODRIGUEZ C. G., RODRIGUEZ J. D., and TELMO J., 2013. Internal modifications to reduce pollutant emissions from marine engines. International Journal of Naval Architecture and Ocean Engineering, 5(4), 493-501.
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  • [33] MAURO, N. D., BASILE, T. M. A., FERILLI, S., and ESPOSITO, F., 2010. Coalition structure generation with grasp.14th Int. Conf. on Artificial Intelligence: Methodology, Systems, and Applications (AIMSA), 111-120.
  • [34] MODELEWSKI, K., and SIERGIEJCZYK, M., 2013. Application of Multi-agent systems in transportation, Prace Naukowe Politechniki Warszawskiej, 100, 145-152.
  • [35] RAHWAN, T., RAMCHURN, S. D., GIOVANNUCCI, A., and JENNINGS, N. R., 2009. An anytime algorithm for optimal coalition structure generation. Journal of Artificial Intelligence Research (JAIR), 34, 521-567.
  • [36] ROCHA A., RIBEIRO, L., and BARATA, J., 2014. A Multi Agent Architecture to Support Self-organizing Material Handling, in (Eds. Camarinha-Matos L. M. et al.) Technological Innovation for Collective Awareness Systems, Vol. 423 of the series IFIP Advances in Information and Communication Technology, Springer, 93-100.
  • [37] ROITHMAYR, D., 2000. Barriers to Entry: A Market Lock-In Model of Discrimination, Virginia Law Review, 86(4), 727-799.
  • [38] SCHENK, N. J., MOLL, H. C., and SCHOOT UITERKAMP, A. J. M., 2007. Meso-level analysis, the missing link in energy strategies. Energy Policy, 35(3), 1505-1516.
  • [39] SCHUMPETER, J. A. 1950. Capitalism, socialism, and democracy. 3d ed. New York: Harper and Row.
  • [40] SEDDIEK I. S., and ELGOHARY M. M., 2014. Eco-friendly selection of ship emissions reduction strategies with emphasis on SOx and NOx emissions. International Journal of Naval Architecture and Ocean Engineering, 6(3), 737-748.
  • [41] SEMENOV, I. N., 2008. The multidimensional approach to marine industry development. Part I. Obstacles and willingness to the EU marine industry reengineering. Polish Maritime Research, 3(57), Vol. 15, 77-85.
  • [42] SEMENOV, I.N., 2006. Co-evolution approach to management by the transport networks' innovative transformations. Part 1. The basic problems and trends innovative transformations. Archives of Transport, 18(1), 49-70.
  • [43] United Nations Industrial Development Organization, 2015. Industrial Development Report 2016. The Role of Technology and Innovation in Inclusive and Sustainable Industrial Development. Vienna.
  • [44] VENTURA M., 2017. Costs Estimate. Presentation. https://www.coursehero.com.
  • [45] VOICE T., POLUKAROV M., and JENNINGS N.R., 2012. Coalition Structure Generation over Graphs. Journal of Artificial Intelligence Research, 45, 165-196.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-13c7afef-80fb-4def-833d-4271f4f318fa
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