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PORTPLAN,decision support system for port terminals
Affiliation:1. Universidad Icesi, Calle 18 #122-135, Cali, Colombia.;2. Universidad de los Andes, Calle 21 # 1–20 Ed. SD, Bogota, Colombia;3. ESAN University, Alonso de Molina 1652, Monterrico, Surco, Lima, Peru;1. Institute for Numerical and Applied Mathematics, University of Goettingen, Lotzestraße 16 - 18, Göttingen 37083, Germany;2. Department for Mathematics, TU Kaiserslautern, Gottlieb-Daimler-Straße, 67663 Kaiserslautern and Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, Kaiserslautern 67663, Germany;1. Department of Information and Computing Sciences Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands;2. Rotterdam School of Management Erasmus University, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Netherlands;3. School of Industrial Engineering Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands;1. Department of Statistics and Operations Research, University of Valencia, Doctor Moliner 50, Burjassot, Valencia, 46100, Spain;2. Department of Mathematics, University of Castilla-La Mancha, Albacete, Spain
Abstract:Models underlying a decision support system (dss) for port terminal planning are described. Among others Markov models, queuing models and simple optimization models are considered. The integration of different models, each describing specific aspects of a decision situation, is one of the major problems in the development of a dss. This paper gives a good insight in this problem field.The paper gives also some theoretical results related to some models that might be interesting in other contexts.
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