data and freight prices. As an improvement of this study, it is expected to unify both diagrams in order to analyze simultaneously the behavior of the ships offer-demand system affecting the collaboration among the manufactured goods industries. If it shows some evidence of gains with the collaboration, it is expected to amplify the analysis considering all the other agents of the exportation process as proposed in Figure 1.6. ConsiderationsThe purpose of the current study was to present a new approach to analyze the role of the collaboration in the maritime transportation in order to reduce freight costs pertinent to the manufactured goods exportation process. In this way the main stages of the exportation process were described.In order to define a method to model and analyze the collaboration behavior ABMS and SD were briefly described, identifying the applications and pros and cons of both. After a comparison between them, SD method was chosen as the best appropriated method to represent the behavior of the dynamic variables enclosed in the mechanism of exportation process of manufactured goods, due its aggregate view of the problem.Following the systematics of SD method, a causal-loop diagram was presented by Silva et al. (2011) and as a further step in this study two stock-flow diagram were modeled, consolidating the informations and variables of the problem in analysis. The empirical findings in this study provided a new understanding of the exportation process (transportation offer-demand, freight price definition, collaboration formation) and the next step contemplates the unification of the stock-flow diagrams with all the other agents inserted in the exportation process (as in Figure 1), including real data to validate de model. Hence, sharing crucial information, believing in the CTMs partners and accomplishing the needful cultural change inside and outside the companies, it is expected to achieve excellent results in the manufactured goods exportation process.ReferencesEsper, Terry L. & Williams, Lisa R. The value of Collaborative Transportation Management (CTM): its relationship to CPFR and Information Technology. Transportation Journal 42:4, 2003.Forrester, J. W. Industrial dynamics. Cambridge, Mass.: M.I.T. Press, 1961.Golicic, S.; Foggin, J. & Mentzer, J. Relationship magnitude and its role in interorganizational relationship structure. Journal of Business Logistics 24:1:57-76, 2003.Hoppe, R. Outlining a future of Supply Chain Management Coordinated Supply Networks. 2001. 149f. Master diss., Massachusetts Institute of Technology, Boston. 2001.Loureiro, Sergio A. & Lima Junior, Orlando F. Integrated methods of modeling and simulation applied to operations problems: analysis and applications. Paper presented at the XVI International Conference on Industrial Engineering and Operations Management (ICIEOM), Sao Carlos, Brasil, 2010.Macal, C. M. & North, M. J. Tutorial on agent-based modeling and simulation part 2: how to model with agents. Paper presented at the Winter Simulation Conference, Monterey, 2006.North, M. J. & Macal, C. M. Managing business complexity: discovering strategic solutions with agent-based modeling and simulation. New York: Oxford University Press, 2007.Sanders, N. & Premus, R. Modeling the relationship between firm IT capability, collaboration, and performance. Journal of Business Logistics: 26:1:1-23, 2005.Silva, Vanina Macowski Durski; Coelho, Antonio S. & Zago, Camila A. Collaborative Transportation Management (CTM): uma nova ferramenta de apoio a cadeia de