No abstract

No abstract

No abstract

No abstract

No abstract

Abstract. Industrial symbiosis (IS) has gained more attention in the production economics as the pressure on companies increases for the reduction of waste emissions as well as of primary resources consumption. At present, as the number of IS initiatives increases, many issues about its boundaries, such as the entities involved and the resources shared/exchanged, still continue to remain open. A common classification of IS networks does still not exist.Input-output matching is the most significant tool to analyze IS. To this aim, we adopt an input-output approach for defining an IS network, and for proposing a classification model at the technical level (i.e. physical flow type, number of production chains involved, and network structure).The proposed approach is applied to several existing IS networks to describe as it works. This classification framework can be useful for companies to set strategies and for local government to plan policies.

The relevance of Search and Rescue (SAR) maritime operations has been recently emphasized by the increasing migrations by sea. In the Mediterranean area, for example, a number of boats, often crowded, bad equipped and driven by non-professional sailors, travel from the coasts of Africa and Middle East to the ones of Europe: the wideness of the phenomenon and the occurrence of several mournful events have pushed the Italian government and the European Union to conduct large security operations (e.g. Mare Nostrum and Triton). Therefore, it has become urgent to support Maritime Rescue Coordination Centers and Sub-Centers and provide them with a Decision Support System (DSS) for planning and managing SAR operations at sea. This paper illustrates the background and the research methodology of the research project called "Decision support system for maritime environment emergency management".