hms_july15.doc - MANAGEMENT OF DANGEROUS GOODS IN CONTAINER...

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MANAGEMENT OF DANGEROUS GOODS IN CONTAINER TERMINAL WITH MAS MODEL Mansoriya Hamidou * , Dominique Fournier * , Eric Sanlaville * , Frédéric Serin * * Litis Laboratory - University of Le Havre, France ( * mansoriya.hamidou , * dominique.fournier , * eric.sanlaville , * frederic.serin )@univ-lehavre.fr ABSTRACT In a container terminal, many operations occur within the storage area: containers import, containers export and containers shifting. All these operations require the respect of many rules and even laws in order to guarantee the port safety and to prevent risks, especially when hazardous material is concerned. In this paper, we propose a hybrid architecture, using a Cellular Automaton and a Multi-Agent System to handle the dangerous container storage problem. It is an optimization problem since the aim is to improve the container terminal configuration, that is, the way hazardous containers are dispatched through the terminal to improve its security. In our model, we consider containers as agents, in order to use a Multi- Agent System for the decision aid software, and a Cellular Automaton for modelling the terminal itself. To validate our approach many tests have been performed and the results show the relevance of our model. Keywords: container terminal, dangerous container, multi-agents system, security 1. INTRODUCTION This paper proposes a dynamic technique to manage the storage of containerized dangerous goods in a terminal. This work aims at maintaining the safety of a terminal during all the handling operations that can be executed in such areas. More precisely, our research is about stacking activities and dangerous containers storage in a port terminal. The problem is: how to position hazardous containers in compliance with physical constraints and regulations? The International Maritime Dangerous Goods (IMDG) Code, available on IMO web site (International Maritime Dangerous Goods 2013), classifies dangerous goods into 9 main classes (Table 1). Their stockpiling must respect regulation and separation rules for each class. Our aim is to maintain a safe configuration of the terminal. The management of handling equipment is outside the scope of this paper. Methods for the scheduling of Straddle Carrier (SC) missions, and the subsequent routing, are investigated in other papers, see (Lesauvage, Balev and Guinand 2011) and (Balev, et al. 2009). In the following, we first present more precisely our problem and some related works. Then, our multi- agents hybrid architecture and the behaviours of our agents are presented. Thereafter our tests and results are discussed. 2. PROBLEM DESCRIPTION AND LITERA- TURE In this section, we will describe the problem of dangerous container storage: first we define the storage area structure we use. Then dangerous goods’ classes are determined with examples of security rules. After that, we explain the objective of our work.
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  • Spring '13
  • L
  • Intelligent agent, Multi-agent system, Agent-based model, Container Agents

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