International audienceThe recurring heavy precipitations which have struck the south of France these last few years highlight that the affected cities have little pertinent information on how to manage these emergencies, and therefore appear powerless. In response, the development of a local emergency operations plan (EOP) for communities threatened by natural and technological hazards was made compulsory by French law in 2004. This article describes a systematic risk analysis approach for local EOPs. This method is based on a functional model that represents a local EOP as a set of interacting functions, each of them using resources and controls. This decomposition facilitates the identification of the human, technical, and organizational resources that are essential to safeguard the inhabitants of a community threatened by a hazard. This model provides a precise frame for performing an exhaustive and rigorous risk analysis of a local EOP. Based on this model and this risk analysis, potential failures are identified and organized into fault tree for each function. Then assessment checklists of the functions of the EOP are structured via these fault trees. By using these checklists, the analysis of a local EOP becomes more rigorous, exhaustive, and systematic, which makes it possible to broadly study the criticality of the plan. Therefore, this method enhances the potential success of the pre-planned actions during a disaster. This is the first step of a decision support system for city emergency managers who are designing their local emergency plan

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Through the international (Convention) and European (Industrial Emissions Directive) legislations, industries have to apply preventive measures according to the Best Available Technique (BAT) concept or cleaner production (CP) strategies. Many technical solutions exist to conform, but the major stake is to assess the overall effect or impact of the implementation of a technique on the installation. Several methods have been developed based on LCA or carbon balance methodologies, but they lack the technical, economical and social criteria, which are aspects that should be taken into account when choosing cleaner and safer production practices. This paper presents a decision-making tool based on a multi-criteria analysis approach, likely to encourage manufacturers to implement cleaner and safer production practices in the metal finishing sector. First, a systemic analysis of the industrial facility and its environment is used to identify 15 criteria structured in a hierarchical pattern. These criteria represent the targets which could potentially impacted by a cleaner and safer production practice: for example, water, soil, air, but also the environment of the workstation of an operator, the production processes, etc. Using these 15 criteria, users can then assess up to 86 practices selected in particular in the BREF report dealing with Metal Finishing. Thus, this tool enables the practices the most adapted to a particular company to be chosen not only on financial criteria, but also on a social, environmental and technical view.

This paper provides a framework to analyze the maturity of humanitarian logistics systems to face crisis situations related to recurrent events, and thus to identify the main areas of action and the community needs in terms of crisis logistics planning. First, the main notions of humanitarian logistics systems planning, and the theoretical contribution of maturity models are presented. Second, a maturity model for humanitarian logistics systems is proposed and the main categories of elements defining maturity extracted from literature. Then, the methodology to define the main elements of the maturity model via evidence is presented. This methodology combines a literature overview, a documentary analysis, and the development of three case studies, two located in Colombia and one in Peru. The main elements that characterize capability maturity model in humanitarian logistics systems facing recurrent crises are identified, from which the administration of donations, design of a distribution network, and the choice of suppliers are highlighted. The practical implications of the framework are proposed to allow its use to anticipate humanitarian logistics system for future crises. The framework allowed a first analysis guide and will be further extended.

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