Chaque année, plus de 400 catastrophes naturelles frappent le monde. Pour aider les populations touchées, les organisations humanitaires stockent par avance de l’aide d’urgence dans des entrepôts. Cette thèse propose des outils d’aide à la décision pour les aider à localiser et dimensionner ces entrepôts. Notre approche repose sur la construction de scénarios représentatifs. Un scénario représente la survenue d’une catastrophe dont on connaît l’épicentre, la gravité et la probabilité d’occurrence. Cette étape repose sur l’exploitation et l’analyse de bases de données des catastrophes passées. La seconde étape porte sur la propagation géographique de la catastrophe et détermine son impact sur la population des territoires touchés. Cet impact est fonction de la vulnérabilité et de la résilience du territoire. La vulnérabilité mesure la valeur attendue des dégâts alors que la résilience estime la capacité à résister au choc et à se rétablir rapidement. Les deux sont largement déterminées par des facteurs économiques et sociaux, soit structurels (géographie, PIB…) ou politiques (existence d’infrastructure d’aide, normes de construction…). Nous proposons par le biais d’analyses en composantes principales (ACP) d’identifier les facteurs influents de résilience et de vulnérabilité, puis d’estimer le nombre de victimes touchées à partir de ces facteurs. Souvent, les infrastructures (eau, télécommunication, électricité, voies de communication) sont détruits ou endommagés par la catastrophe (ex : Haïti en 2010). La dernière étape a pour objectif d’évaluer les impacts logistiques en ce qui concerne : les restrictions des capacités de transport existant et la destruction de tout ou partie des stocks d’urgence. La suite de l’étude porte sur la localisation et le dimensionnement du réseau d’entrepôt. Nos modèles présentent l’originalité de tenir compte de la dégradation des ressources et infrastructures suite due à la catastrophe (dimension résilience) et de chercher à optimiser le rapport entre les coûts engagés et le résultat obtenu (dimension efficience). Nous considérons d’abord un scénario unique. Le problème est une extension d’un problème de location classique. Puis, nous considérons un ensemble de scénarios probabilisés. Cette approche est indispensable à la considération du caractère très incertain des catastrophes humanitaires. L’ensemble de ces contributions a été confronté à la réalité des faits dans le cadre d’une application au cas des crises récurrentes du Pérou. Ces crises, essentiellement dues aux tremblements de terre et aux inondations (El Niño), imposent la constitution d’un réseau logistique de premiers secours qui soit résilient et efficient. / Every year, more than 400 natural disasters hit the world. To assist those affected populations, humanitarian organizations store in advance emergency aid in warehouses. This PhD thesis provides tools for support decisions on localization and sizing of humanitarian warehouses. Our approach is based on the design of representative and realistic scenarios. A scenario expresses some disasters’ occurrences for which epicenters are known, as well as their gravity and frequency. This step is based on the exploitation and analysis of databases of past disasters. The second step tackles about possible disaster’s propagation. The objective consists in determining their impact on population on each affected area. This impact depends on vulnerability and resilience of the territory. Vulnerability measures expected damage values meanwhile resilience estimates the ability to withstand some shock and recover quickly. Both are largely determined by social and economic factors, being structural (geography, GDP, etc.) or political (establishment or not relief infrastructure, presence and strict enforcement of construction standards, etc.). We propose through Principal Component Analysis (PCA) to identify, for each territory, influential factors of resilience and vulnerability and then estimate the number of victims concerned using these factors. Often, infrastructure (water, telecommunications, electricity, communication channels) are destroyed or damaged by the disaster (e.g. Haiti in 2010). The last step aims to assess the disaster logistics impact, specifically those related to with: transportation flows capacity limitations and destruction of all or part of emergency relief inventories. The following of our study focuses on location and allocation of a warehouses’ network. The proposed models have the originality to consider potential resources and infrastructure degradation after a disaster (resilience dimension) and seek optimizing the equilibrium between costs and results (effectiveness dimension). Initially we consider a single scenario. The problem is an extension of classical location studies. Then we consider a set of probable scenarios. This approach is essential due to the highly uncertain character of humanitarian disasters. All of these contributions have been tested and validated through a real application case: Peruvian recurrent disasters. These crises, mainly due to earthquakes and floods (El Niño), require establishment of a first aid logistics network that should be resilient and efficient.

[pt] O envolvimento de militares em operações de resposta a desastres, emergências e crises vem aumentando, pois além dessas situações apresentarem complexidades cujo enfrentamento faz parte de sua doutrina, os militares possuem infraestrutura e treinamento necessários à prestação de assistência humanitária. O Comando e Controle (C2) exercido nas operações militares é considerado essencial dada a complexidade para realização dessas operações. A literatura científica sobre C2 é, em sua maior parte, registrada como doutrina militar, baseada no empirismo. O presente estudo objetiva compreender como o C2 é realizado pelos militares em duas operações humanitárias acionadas pelo Ministério da Defesa. E com tal propósito, é realizada uma revisão da literatura sobre elementos essenciais do C2, como sua definição, ações, funções, níveis, meios e ativos para sua realização e agentes envolvidos. A partir de 22 documentos resultantes da revisão da literatura, são apresentados uma taxonomia, uma proposta de definição de C2 e um framework que visa auxiliar acadêmicos, profissionais da área e as Forças Armadas. Posteriormente, para verificar a factibilidade dos elementos identificados na literatura e sua aplicação nessas operações, são propostos dois estudos de caso: um sobre a Operação Acolhida, que oferece assistência emergencial aos imigrantes e refugiados venezuelanos, e outro sobre a Operação Carro-pipa, que contempla ações de distribuição de água potável às populações rurais atingidas pela estiagem e seca. Como resultado, essa pesquisa identifica que a forma como o C2 é realizada pelos militares depende do tipo de desastre e do nível em que o C2 está sendo exercido, além de contribuir academicamente pela proposição de uma definição de C2, uma taxonomia e um framework acerca do C2 exercido pelos militares em operações de resposta a desastres, emergências e crises. / [en] The involvement of the military in disaster, emergency, and crisis response operations has been increasing, as in addition to these situations presenting complexities similar to those faced on the battlefield, they have the infrastructure and training necessary to provide humanitarian assistance. The Command and Control (C2) exercised by the military is considered essential given the complexity of carrying out these operations. The scientific literature on C2 is, for the most part, registered as military doctrine, based on empiricism. This study aims to understand how C2 is performed by the military in two humanitarian operations triggered by the Ministry of Defense. And with this purpose, a literature review is carried out on essential elements of C2, such as its definition, actions, functions, levels, means, and assets for its realization and agents involved. From 22 documents resulting from the literature review, a taxonomy, a proposed definition of C2, and a framework that aims to support academics, professionals in the field, and the Armed Forces are presented. Subsequently, to verify the feasibility of the elements identified in the literature and their application in these operations, two case studies are proposed: one on Operação Acolhida, which offers emergency assistance to Venezuelan immigrants and refugees, and another on Operação Carro-pipa, which includes actions for the distribution of drinking water to rural populations affected by drought and dry season. As a result, this research identifies that the manner C2 is performed by the military depends on the type of disaster and the level at which C2 is being exercised, in addition to contributing academically by proposing a definition of C2, a taxonomy, and a framework about of the C2 exercised by the military in disaster, emergency, and crisis response operations.

[pt] A pandemia da COVID-19 se espalhou rapidamente pelo mundo. No Brasil, várias organizações, como a Cruz Vermelha Brasileira (CVB), atuaram em diversas ações contra a disseminação do vírus e de apoio às populações mais vulneráveis. Em resposta às emergências de saúde pública, os suprimentos de socorro imediatos são essenciais para reduzir danos. Para assegurar a distribuição dos donativos aos beneficiários no tempo certo, é fundamental uma gestão adequada da cadeia de suprimentos (CS). Esta dissertação tem como objetivo principal a revisão dos processos da CVB, à luz da literatura, visando promover condições reais de transformação nos referidos processos, com vistas à melhoria do desempenho organizacional e da eficiência e eficácia na distribuição dos itens de alívio. Baseando-se em uma Revisão de Escopo da literatura, identificar o estado da arte sobre os Fatores Críticos de Sucesso da Logística Humanitária em situações de crise epidemiológicas, como a COVID-19, e as melhores práticas para alcançá-los. Neste trabalho, é conduzido um Estudo de Caso sobre a cadeia logística da CVB em que, através de entrevistas com especialistas e análise documental de publicações oficiais, foi diagramado o fluxograma dos macroprocessos atuais (captação e recebimento de doações, distribuição das doações, recebimento nas filiais, distribuição de última milha). Em seguida, à luz da literatura, identificou-se 10 oportunidades de melhoria, resultando na revisão de seus processos, reformulando e validando os macroprocessos logísticos da CVB, onde foi possível concluir que as melhorias propostas são viáveis e apresentam um potencial significativo de impacto positivo nas atividades humanitárias da organização. / [en] The COVID-19 pandemic has rapidly spread throughout the world. In Brazil, various organizations, such as the Brazilian Red Cross (CVB), have engaged in several actions against the spread of the virus and in support of the most vulnerable populations. In response to public health emergencies, immediate relief supplies are essential to reduce harm. To ensure the timely distribution of donations to beneficiaries, proper supply chain management (SCM) is fundamental. This dissertation aims to review CVB s processes in light of the literature, in order to promote real conditions for transformation in these processes, with a view to improving organizational performance and effectiveness in distributing relief items. Based on a Scoping Review of the literature, the state of the art on Critical Success Factors of Humanitarian Logistics in epidemiological crisis situations, such as COVID-19, and the best practices to achieve them were identified. In this work, a Case Study was conducted on CVB s logistics chain, in which, through interviews with experts and documentary analysis of official publications, the flowchart of current macro-processes (donation capture and receipt, donation distribution, branch receipt, last-mile distribution) was diagrammed. Next, in light of the literature, 10 opportunities for improvement were identified, resulting in the revision of its processes, reformulating and validating CVB s logistics macro-processes, where it was possible to conclude that the proposed improvements are feasible and present significant potential for positive impact on the organization s humanitarian activities.

Cette thèse vise à contribuer à la compréhension des cycle de vie d’une opération humanitaire (HOLC). Gestion de la chaîne d'approvisionnement humanitaire (HSCM) dans un contexte de mise en perspective et dans l’objectif de proposer un modèle décisionnel qui s'applique aux phases de HOLC lors d’une situation réelle. Cela inclut la mise en oeuvre du modèle proposé pour concevoir et développer un outil d'aide à la décision afin d'améliorer les performances de la logistique humanitaire tant dans les opérations de secours nationaux qu’internationaux.Cette recherche est divisée en trois phases. La première partie vise à présenter le sens de l'étude ; la zone de recherche prise en compte pour la gestion de la chaîne d'approvisionnement (SCM) doit être clairement définie. La première phase consiste à clarifier et définir le HSCM HL, la gestion de la chaîne d'approvisionnement commerciale (CSCM) et le SCM, ainsi que la relation entre ces différents éléments. La gestion du cycle de vie du projet (PLCM) et les différentes approches sont également présentés. La compréhension de la différence entre la gestion du cycle de vie du projet (PLM) et la PLCM est également nécessaire, cela ne peut être abordé dans la phase de cycle de vie de l'opération humanitaire. De plus, les modèles Multiple-Criteria Decision Making (MCDM) et l’aide à la décision concernant le HL sont analysés pour établir le fossé existant en matière de recherche. Les approches MCDM qui mettent en oeuvre le système d'aide à la décision (DSS) et la manière dont le MAS a été utilisé dans le contexte HSCM sont étudiées.La deuxième phase consiste en la proposition d’un modèle décisionnel fondé sur l’approche MCDM à l'appui de la décision du décideur avant qu'il/elle prenne des mesures. Ce modèle prévoit le classement des alternatives concernant l'entrepôt, le fournisseur et le transport au cours des phases de HOLC. Le modèle décisionnel proposé est réalisée en 3 scénarios. I. La décision en 4phases HOLC – opération de secours internationale de la Croix-Rouge Française (CRF). II. La décision en3phases HOLC – opération nationale dela Croix-Rouge thaïlandaise (TRC). III. La décision au niveau de la phase de réponse HOLC – opération internationale du TRC dans quatre pays. Dans cette phase, le scénario I et II sont réalisés étape par étape au travers de calculs numériques et formules mathématiques. Le scénario III sera présenté dans la troisième phase. Pour établir trois scénarios, les données internes recueillies lors des entretiens avec le chef de la logistique de la Croix-Rouge Française, et le vice-président de la fondation de la Coix-Rouge thaïlandaise, seront utilisées. Les données externes proviennent de chercheurs qui sont des experts dans le domaine HL ou le champ du HSCM, de la littérature, et de sources issues des organismes humanitaires (documents d’ateliers, rapports, informations publiées sur leurs sites officiels).Dans la troisième phase, une application Internet multi-critères (decision support system MCDSS WB) mettant en oeuvre le modèle proposé est élaborée. Afin d'atteindre une décision appropriée en temps réel, le WB-MCDSS est développé sur la base d’un protocole client-serveur et est simple à utiliser. Le dernier mais non le moindre ; une application de validation du modèle est réalisée à l'aide de l'approche de l'analyse de sensibilité. / This thesis aims to contribute to the understanding of HOLC in context of the HSCM and to propose a decision model which applies to the phases of HOLC the decision making regarding a real situation . This include the implementation of the proposed model to design and develop a decision support tool in order to improve the performance of humanitarian logistics in both national and international relief operations.This research is divided into three phases; the first phase is to clarify and define HL among HSCM, commercial supply chain management (CSCM) and SCM and their relationship. Project Life Cycle Management (PLCM) approaches are also presented. The difference between project life cycle management (PLM) and PLCM is also required to distinguish a clear understanding which can be addressed in the phase of humanitarian operation life cycle. Additionally, the literature of Multiple-Criteria Decision Making (MCDM) models and existing decision aid system for HL are analyzed to establish the research gap. The MCDM approaches which implement the decision support system (DSS) and lastly how DSS has been used in the HSCM context.The second phase is to propose a decision model based on MCDM approaches to support the decision of the decision maker before he/she takes action. This model provides the ranking alternatives to warehouse, supplier and transportation over the phases of HOLC. The proposed decision model is conducted in 3 scenarios; I. The decision in 4-phase HOLC, international relief operation of French Red Cross (FRC). II. The decision on 3-phase HOLC, national operation by the Thai Red Cross (TRC). III. The decision on response phase HOLC, international operation by the FRC in four countries. In this phase, the scenario I and II are performed step by step though numerical calculation and mathematical formulas. The scenario III will be presented in the third phase.In the third phase, an application of web-based multi-criteria decision support system (WB-MCDSS) which implement the proposed model is developed. The web-based multi-criteria decision support system is developed based on the integration of analytical hierarchy process (AHP) and TOPSIS approaches. In order to achieve an appropriate decision in a real time response, the WB-MCDSS is developed based on server-client protocol and is simple to operate. Last but not least, a validation application of the model is performed using the sensitivity analysis approach.