The collaborative maritime transportation's problem under system dynamics and agent based modelling and simulation approaches

This paper deals with the collaborative maritime transportation problem which can be modeled with two different approaches: SD and ABMS, despite the existence of several methods to model problems with such characteristics. The literature indicates both methods to model systems containing large numbers of active objects (industries, people, vehicles, products) and their applications vary according to the required level of abstraction, which can consider more or less involved details. In order to contribute with the decision-making, one important logistic problem is adopted as example; and in the sequence, a theoretic comparative analysis between these two possible techniques to examine such problem is presented. Finally, this study describes how to model this problem using these techniques which improve the analysis of the global behavior of the supply chain, and after analysis SD method is chosen as the best appropriated method for the proposed problem and simulations are initiate.

[1]  Luis M. Rocha From Artificial Life to Semiotic Agent Models Review and Research Directions October , 1999 .

[2]  Orlando Fontes Lima Júnior,et al.  Analise do acumulo da demanda logistica no final do periodo de comercialização : um modelo de dinamicas de sistema para o setor de bens de consumo brasileiro , 2009 .

[3]  J. Forrester Industrial Dynamics , 1997 .

[4]  Nicholas R. Jennings,et al.  A Roadmap of Agent Research and Development , 2004, Autonomous Agents and Multi-Agent Systems.

[5]  Herbert Gintis,et al.  Handbook of Computational Economics: Agent-Based Computational Economics (Handbook of Computational Economics S.) by K. L. Judd, L. Tesfatsion, M. D. Intriligator and Kenneth J. Arrow (eds.) , 2007, J. Artif. Soc. Soc. Simul..

[6]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[7]  A. Borshchev,et al.  From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .

[8]  Comparison Levine,et al.  Quantitative Applications in the Social Sciences , 2006 .

[9]  B. K. Ghosh,et al.  Simulation Using Promodel , 2000 .

[10]  Antônio Sérgio Coelho,et al.  Collaborative Transportation Management (CTM): uma nova ferramenta de apoio à cadeia de suprimentos , 2009 .

[11]  Andrew Crooks North, Macal: Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modelling and Simulation , 2008 .

[12]  Raymond R. Hill Managing business complexity: discovering strategic solutions with agent-based modelling and simulation , 2010, J. Simulation.

[13]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[15]  Stefania Bandini,et al.  Agent Based Modeling and Simulation: An Informatics Perspective , 2009, J. Artif. Soc. Soc. Simul..

[16]  John D. W. Morecroft,et al.  Strategic Modelling and Business Dynamics: A Feedback Systems Approach , 2007 .

[17]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .