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

Authors

  • Iouri N. Semenov West Pomeranian University of Technology Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland Author
  • Ludmiła Filina-Dawidowicz West Pomeranian University of Technology Szczecin, Faculty of Maritime Technology and Transport, Szczecin, Poland Author

DOI:

https://doi.org/10.5604/01.3001.0010.4229

Keywords:

transport system, logistics system, innovative changes, topology based approach

Abstract

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.

References

AHO, E., CORNU, J., GEORGHIOU, L., and SUBIRA, A., 2006. Creating an Innovative Europe. Report of the Independent Expert Group on R&D and Innovation. Brussels: European Commission.

ANDREASEN, A. and MAYER, S. 2007. Use of Seawater Scrubbing for SO2 Removal from Marine Engine Exhaust Gas. Energy Fuels, 21 (6), 3274–3279.

ARM BADR-EL-DIN, A, 2013. Object-Oriented in Organization Management: Organic Organization. International Journal of Digital Information and Wireless Communications, 3(4), 440-450.

AZIZ, H., and de KEIJZER, B., 2011. Complexity of coalition structure generation. In 10th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 191–198.

BARAS, J. S., 2011. Cooperative networked systems: Multiple graphs, coalitional games, new probabilistic models. 19th Mediterranean Conference on Control and Automation, Aquis Corfu Holiday Palace, Corfu, Greece June 20-23, 798-800.

BHALLA N., IPPARTHI D., KLEMP E., and DORIGO M., 2014. A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-Assembly. In: Parallel Problem Solving from Nature – PPSN XIII, series Lecture Notes in Computer Science, Vol. 8672, Springer International Publishing, 751-760.

BOLT, J., and van ZANDEN, J. L., 2014. The Maddison Project: Collaborative Research on Historical National Accounts. The Economic History Review, 67(3), 627-651.

Bosch website: http://www.bosch.com.br/content/language1/html/734_4418.htm, access: 02.2017.

CHAMINADE, C., LUNDVALL, B.-A., VANG-LAURIDSEN J., and JOSEPH, K.J, Innovation policies for development: towards a systemic experimentation based approach. CIRCLE Electronic Working Paper Series 2010/01, http://www.circle.lu.se.

CHATAWAY, J., HANLIN, R., and KAPLINSKY, R., 2014. Inclusive Innovation: An Architecture for Policy Development. Innovation and Development, 1(4), 33-54.

CHEN, B., & CHENG H.H., 2010. A Review of the Applications of Agent Technology in Traffic and Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, 11(2), 485-497.

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.

CHRYSSAKIS Ch., BALLAND O., TVETE H. A., and BRANDSÆTER A., 2014. Alternative fuels for shipping. Position Paper 17–2014, DNV& GL, Norway.

CRESPI, V., GALSTYAN, A. and LERMAN, K., 2008. Top-down vs bottom-up methodologies in multi-agent system design. Autonomous Robots, 24(3), 303-313.

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.

DOSI, G., NELSON, R. R. and WINTER, S. 2000. The Nature and Dynamics of Organizational Capabilities. Oxford: Oxford University Press.

GODFREY, N., 2008. Why is competition important for growth and poverty reduction? Department for International Development, OECD Global forum on International Investment, London, March 2008.

GRAUDINA V., and GRUNDSPENKIS J., 2005. Technologies and Multi-Agent System Architectures for Transportation and Logistics Support: An Overview. International Conference on Computer Systems and Technologies - CompSysTech’, IIIA.6, 1-6.

HÖLZL, W., and JANGER, J., 2011. Innovation barriers across firm types and countries, the DIME Final Conference, 6-8 April, Maastricht.

HUBKA, V., and EDER, E. W., 1988. Theory of Technical Systems: A Total Concept Theory for Engineering Design. Springer, 249.

IACCSEA: The Technological and Economic Viability of Selective Catalytic Reduction for Ships, December 2012 London, UK.

IMO, 2016. Outcomes of the United Nations Climate Change Conferences held in Bonn in June, August and October 2015 and Paris in December 2015. Note by the Secretariat. MEPC 69/7. London.

JACYNA-GOŁDA, I., 2015. Decision-making model for supporting supply chain efficiency evaluation. Archives of Transport, 33(1), 17-31.

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.

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.

KONINGS, J. W., PRIEMUS, H., and NIJKAMP, P., 2005. The Future of Automated Freight Transport: Concepts, Design, and Implementation. Cheltenham, UK: Edward Elgar, 85.

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.

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.

LEVIN, M. Sh., 2015.Modular System Design and Evaluation. Springer, 437.

LIN, J.-Ch. 2011. Various Approaches for Systems Analysis and Design. University of Missouri, St. Louis, available at: http://www.umsl.edu/~sauterv/analysis/termpapers/f11/jia.html.

LØVDAL N., and NEUMANN F., 2011. Internationalization as a strategy to overcome industry barriers - An assessment of the marine energy industry. Energy Policy, 39(3), 1093–1100.

Low - cost smart shipping. Maritime industry IoT development. London. 2017, p. 5.

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.

MODELEWSKI, K., and SIERGIEJCZYK, M., 2013. Application of Multi-agent systems in transportation, Prace Naukowe Politechniki Warszawskiej, 100, 145-152.

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.

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.

ROITHMAYR, D., 2000. Barriers to Entry: A Market Lock-In Model of Discrimination, Virginia Law Review, 86(4), 727-799.

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.

SCHUMPETER, J. A. 1950. Capitalism, socialism, and democracy. 3d ed. New York: Harper and Row.

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.

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.

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.

United Nations Industrial Development Organization, 2015. Industrial Development Report 2016. The Role of Technology and Innovation in Inclusive and Sustainable Industrial Development. Vienna.

VENTURA M., 2017. Costs Estimate. Presentation. https://www.coursehero.com.

VOICE T., POLUKAROV M., and JENNINGS N.R., 2012. Coalition Structure Generation over Graphs. Journal of Artificial Intelligence Research, 45, 165-196.

Downloads

Published

2017-09-30

Issue

Section

Original articles

How to Cite

Semenov, I. N., & Filina-Dawidowicz, L. (2017). Topology-based approach to the modernization of transport and logistics systems with hybrid architecture. Part 1. Proof-of-concept study. Archives of Transport, 43(3), 105-124. https://doi.org/10.5604/01.3001.0010.4229

Share

Similar Articles

1-10 of 411

You may also start an advanced similarity search for this article.