Desastres são eventos complexos que exigem esforços de múltiplos atores para assistirem suas vítimas em tempo hábil a minimizar as perdas de vidas e os custos sociais e materiais da região afetada. Esta dependência de ação entre diferentes atores cria entre eles uma relação de interdependência no que tange o sucesso da operação de resposta. Este trabalho tem como objetivo analisar o problema da coordenação das atividades logísticas em uma operação humanitária utilizando Dinâmica de Sistemas como ferramenta de simulação e análise para verificar como os incentivos e impedimentos à coordenação interagem dinamicamente no ambiente humanitário e como sua estrutura de causa e efeito resulta em comportamentos com impactos e intensidades diferentes daqueles desejados pelos atores envolvidos. Assim, o objetivo específico deste trabalho é desenvolver um modelo de simulação que auxilie na compreensão do problema além de utilizá-lo para sugerir ferramentas que favoreçam o direcionamento do comportamento do sistema às metas de efetividade da ajuda humanitária exigidas pelos múltiplos atores envolvidos nesta. O desenvolvimento do trabalho segue uma estrutura multidisciplinar, buscando o necessário rigor do entendimento do problema tanto na análise da literatura quanto na formulação do modelo e sua utilização. / Disasters are complex events which require efforts from multiple actors to assist their victims on a timely manner to minimize life losses and social cost at the affected region. This action dependence between different actors rise an interdependence relation among them related to the response operation success. This work aims to analyse the problem of coordination of logistics activities in a humanitarian operation using System Dynamics as a simulation and analysis tool in order to verify how the drives and impediments to coordination dynamically interact in a humanitarian context and how its structure of cause and effect results in behaviors with different impact and intensity from those desired by involved actors. Therefore, the specific goal of this work is to develop a simulation model that support the problem understanding and apply it to suggest tools with potential to drive the system behavior towards the effectiveness goals required by the multiple actors in this environment. The development follows a cross-sectorial structure, willing to apply the necessary comprehension of the problem both in the literature review and in the model formulation and application.

The aim of the diploma thesis is to propose assorted variants of the cold chain solution for the humanitarian projects in Iraq. Another target is to carry out a systematic analysis of Iraqi infrastructure. The application part is based on a personal interviews and information provided by the organization Doctors Without Borders. This data were supported by secondary and publicly available data and their subsequent processing and evaluation. Another aim pose the fact that ongoing humanitarian projects in some country do not automatically mean that the country has unusable infrastructure. These conclusions are not based on the outcomes and internal policies of organization Doctors Without Borders. At the end of the thesis, there are also presented proposals for future research in the field of humanitarian logistics and the outlines of the possible constraints related to them.

This master thesis is showing the humanitarian logistics as a complex and important part of the humanitarian response. The theoretical part explains the specifics of a humanitarian environment and compares humanitarian and enterprise logistics. A part of the theory is focused on the international humanitarian response of the Czech Republic and its financial aspects. The application part of the thesis analyses each phase of the humanitarian supply chain with practical examples and is followed by instruments of the enterprise logistics that can be applied on humanitarian sector and that help to optimize the humanitarian supply chain and enhance the efficiency of the response in emergencies. The thesis provides the reader with two case studies from the field built on the experience of the logisticians from two international non-governmental organizations and with an assessment of these according to the aforementioned instruments.

Yes / For years, humankind has been facing various disasters of which logistics has a crucial role for alleviating sufferings of vulnerable people, who are isolated and in need of basic supplies. Owing to the increasing importance of logistics in humanitarian operations, logistics service providers (LSPs) have recently become more prominent. Yet, only a few LSPs have the capabilities and mechanisms to offer operational solutions for humanitarian relief. Also, the conducted extensive literature review makes evident that the existence of a limited number of normative research reveals a barrier about what LSPs can bring into the humanitarian field. Accordingly, why LSPs are particularly important in the humanitarian supply chain and how LSPs manage their activities and resources in humanitarian operations become the main questions to be addressed. Thus, this study seeks to explore humanitarian operations of LSPs from different dimensions, enabled by Business Model Canvas (BMC). In this sense, the obtained findings clarify both similar and different viewpoints of diverse LSPs when mapped against the BMC. Consequently, the categorised interrelated information presented through the cross-case synthesis provide novelty to advance insights both on strategic missions of LSPs in humanitarian relief operations and on the usage of BMC beyond its common commercial implementations.

Humanitarian relief and aid organizations all over the world implement efforts aimed at recovering from disasters, reducing poverty and promoting human rights. The purpose of this dissertation is to develop a series of quantitative decision models to help address some of the challenges faced by humanitarian logistics. The first study discusses the development of a spreadsheet-based multicriteria scheduling model for a small development aid organization in a South American developing country. Development aid organizations plan and execute efforts that are primarily directed towards promoting human welfare. Because these organizations rely heavily on the use of volunteers to carry out their social mission, it is important that they manage their volunteer workforce efficiently. In this study, we demonstrate not only how the proposed model helps to reduce the number of unfilled shifts and to decrease total scheduling costs, but also how it helps to better satisfy the volunteers’ scheduling preferences, thus supporting long-term retention and effectiveness of the workforce. The purpose of the second study is to develop a decision model to assist in the management of humanitarian relief volunteers. One of the challenges faced by humanitarian organizations is that there exist limited decision technologies that fit their needs while it has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. Even though employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this study, we discuss a series of principles from the field of volunteer management and develop a multicriteria optimization model to assist in the assignment of both individual volunteers and volunteer groups to tasks. We present illustrative examples and analyze two complementary solution methodologies that incorporate the decision maker's preferences and knowledge and allow him/her to trade-off conflicting objectives. The third study discusses the development of a decision model for the procurement of goods in humanitarian efforts. Despite the prevalence of procurement expenditures in humanitarian efforts, procurement in humanitarian contexts is a topic that has only been discussed in a qualitative manner in the literature. In our paper, we introduce a two stage decision model with recourse to improve the procurement of goods in humanitarian relief supply chains and present an illustrative example. Conclusions, limitations, and directions for future research are also discussed. / Ph. D.

This thesis focuses on developing a comprehensive framework for understanding the challenges NGOs face with in-kind donations in disaster relief. The overwhelming problem of inappropriate material donations, often referred to as the second disaster, has plagued disaster relief operations for decades now in both domestic and international disaster response. Despite efforts to promote ``cash only'' giving in disaster relief, unsolicited and mostly inappropriate in-kind giving continues to challenge NGOs in every major disaster. Researchers have identified this as one of the most pressing yet understudied challenges in disaster relief to date. This thesis is divided into three parts. In the first part, we conduct a multidisciplinary literature review from philanthropy, economics, public policy, corporate philanthropy and corporate social responsibility to understand why donors donate in-kind and why NGOs accept those donations. We describe the roles of the various players involved and explain the structure of the distribution channels in-kind donations follow both in disaster and non-disaster contexts. We then explain the challenges NGOs and their donors face with in-kind donations in the context of these channels. We identify systemic issues in the distribution channels and highlight current policies and practices that contribute to the second disaster. In the second part of this thesis, we propose a comprehensive framework to help donors, NGOs and policy makers comprehend the scope of the problem and identify strategies to address the challenge of unsolicited donations in disaster relief. Our framework provides a succinct representation of the main issues and players involved in the process in a format that is simple to work with and easy to understand. It supports comprehension of the many related issues and can help NGOs and policy making bodies (e.g., FEMA, NVOAD, USAID) assess current strategies and devise new approaches and solution strategies. In the third part of the thesis, we exploit our framework to propose a tiered strategy consisting of a set of solutions ranging from decision tools to help NGOs better screen in-kind donation offers to entire new channels for more productive in-kind giving in disaster relief. Each of these solutions may deter only a small fraction of the inappropriate flows, but together they can dramatically diminish the problem. Our proposed NGO decision tools both allow quick screening of donation offers in disaster relief and provide a framework for strategic management of corporate in-kind donations in the long term. We also propose a ``retail donation model" which can transform a portion of the current stream of unwanted and unusable in-kind donations from individuals and community groups into a valuable source of needed relief supplies through an entirely new donation channel. We document a successful implementation of an on-line retail donation model in the 2012 Sandy response.

Este trabalho trata da logística envolvida em operações de resposta a desastres, com foco na entrega final de suprimentos destinados a ajudar vítimas. Seu propósito é investigar os objetivos pertinentes ao planejamento do transporte da carga e encontrar uma metodologia para definir estratégia que sirva à tomada de decisão em campo. Para tanto, primeiramente identifica-se os objetivos adotados em modelos de Pesquisa Operacional para a tarefa em questão, através da análise de conteúdo das publicações pertinentes. Então, a abordagem do Pensamento Focado em Valores é utilizada para estruturar o problema. Finalmente, o método Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER) é empregado na construção de um modelo de Análise da Decisão Multicritério (ADM), com consulta a um profissional experiente da área humanitária e aproveitando a análise da literatura previamente realizada. Neste processo, são elaboradas e avaliadas seis alternativas para a tomada de decisão condizentes com os valores da comunidade humanitária. Os resultados obtidos mostram que existe incompatibilidade entre os critérios de desempenho identificados nas publicações existentes e os objetivos perseguidos pelo Tomador da Decisão (TD) real. De acordo com o modelo construído, o atendimento de prioridades e a manutenção da sustentabilidade da operação são os objetivos que devem ser levados em conta para planejar a entrega de carga em pós-desastre, sendo que o custo e a equidade da distribuição não devem ser considerados. Conclui-se que o método adotado é útil à definição destes critérios e também ao desenvolvimento de estratégias que resultem em distribuições de ajuda melhores, aos olhos do próprio TD. Desta forma, ressalta-se que este trabalho contribui à área da Logística Humanitária com a investigação dos objetivos, assim como ao campo da ADM pela formalização dos processos de elaboração de alternativas, além da adição de mais uma aplicação possível ao repertório do método SMARTER. / This study concerns the logistics of disaster response operations, with a focus on final delivery of supplies to victims. The objectives here are to investigate what objectives are pertinent to the transportation-planning task and to find a methodology for choosing a strategy that aids decision-making on the field. For achieving these, a content analysis of Operations Research models is done, allowing the identification of such objectives, from which the problem is structured using a Value-Focused Thinking approach. Subsequently, the Simple Multi-Attribute Rating Exploiting Ranks (SMARTER) is employed to build a Multi-Criteria Decision Analysis (MCDA) model, consulting an experienced humanitarian professional and taking into account the results from the previous analysis. Throughout this process, six alternatives for making decisions are designed and evaluated based on the objectives defined. Findings are that there is incompatibility between performance criteria identified in the literature and objectives pursued by a real Decision Maker (DM). From the model presented by this thesis, one concludes that satisfying priorities and sustaining the response operation are the objectives to be taken into account when drawing an aid distribution plan. It also follows that the methodology adopted here is useful to defining such performance criteria and to develop strategies that result in better outcomes, as judged by the DM. Therefore, this study contributes to Humanitarian Logistics research area by casting a light on the objectives of a post-disaster task, and to the MCDA field by formalizing the process of designing alternatives for complex problems, besides adding a new application of SMARTER to its repertory.

[pt] Neste trabalho estudamos uma classe de problemas de otimização estocástica com incertezas endógenas que é formulado como um problema de programação não-linear inteira (MINLP). Esta classe de problemas difere dos problemas de otimização estocástica geralmente estudados na literatura pelo fato de que que a distribuição de probabilidade dos parâmetros aleatórios depende das decisões tomadas. Apesar de discutido dentro do contexto do problema de logística humanitária, a metodologia proposta e os resutados obtidos são válidos para uma classe geral de problemas que agrega uma variedade de aplicações. Em particular, propõe-se (i) uma técnica de convexificação de polinômios de variáveis binárias, (ii) um algoritmo de geração de cortes e (iii) a incorporação dos conceitos de importance sampling dentro do contexto de otimização estocástica de modo a permitir a solução de grandes instâncias do problema. Os resultados computacionais apresentados demonstram as vantagens da metodologia proposta ao permitir a solução de instâncias significativamente maiores que aquelas atualmente apresentadas em trabalhos relacionados. / [en] In this work we study a class of stochastic programming problems with endogenous uncertainty – i.e., those in which the probability distribution of the random parameters is decision-dependent – which is formulated as a mixed integer non-linear programming (MINLP) problem. Although discussed in the context of the humanitarian logistics problem, the proposed methodology and obtained results are also valid for a more general class of problems which comprehends a variety of applications. In particular, we propose (i) a convexification technique for polynomials of binary variables, (ii) an efficient cutgeneration algorithm and (iii) the incorporation of importance sampling concepts into the stochastic programming framework so as to allow the solution of large instances of the problem. Computational results demonstrate the effectiveness of the proposed methodology by solving instances significantly larger than those reported in related works.

The occurrence of devastating natural disasters in the past several years have prompted communities, responding organizations, and governments to seek ways to improve disaster preparedness capabilities locally, regionally, nationally, and internationally. A holistic approach to design used in the aerospace and industrial engineering fields enables efficient allocation of resources through applied parametric changes within a particular design to improve performance metrics to selected standards. In this research, this methodology is applied to disaster preparedness, using a community's time to restoration after a disaster as the response metric. A review of the responses from Hurricane Katrina and the 2010 Haiti earthquake, among other prominent disasters, provides observations leading to some current capability benchmarking. A need for holistic assessment and planning exists for communities but the current response planning infrastructure lacks a standardized framework and standardized assessment metrics. Within the humanitarian logistics community, several different metrics exist, enabling quantification and measurement of a particular area's vulnerability. These metrics, combined with design and planning methodologies from related fields, such as engineering product design, military response planning, and business process redesign, provide insight and a framework from which to begin developing a methodology to enable holistic disaster response planning. The developed methodology was applied to the communities of Shelby County, TN and pre-Hurricane-Katrina Orleans Parish, LA. Available literature and reliable media sources provide information about the different values of system parameters within the decomposition of the community aspects and also about relationships among the parameters. The community was modeled as a system dynamics model and was tested in the implementation of two, five, and ten year improvement plans for Preparedness, Response, and Development capabilities, and combinations of these capabilities. For Shelby County and for Orleans Parish, the Response improvement plan reduced restoration time the most. For the combined capabilities, Shelby County experienced the greatest reduction in restoration time with the implementation of Development&Response capability improvements, and for Orleans Parish it was the Preparedness&Response capability improvements. Optimization of restoration time with community parameters was tested by using a Particle Swarm Optimization algorithm. Fifty different optimized restoration times were generated using the Particle Swarm Optimization algorithm and ranked using the Technique for Order Preference by Similarity to Ideal Solution. The optimization results indicate that the greatest reduction in restoration time for a community is achieved with a particular combination of different parameter values instead of the maximization of each parameter.

[pt] A crescente participação das Forças Armadas (FA) em cooperação com a Defesa Civil em situações de desastres naturais tem demonstrado a importância do aprofundamento e aprimoramento dos estudos da logística humanitária no campo militar. Sabendo que a excelência nos processos pode gerar economia dos recursos a serem mobilizados para alcançar as necessidades da população afetada, bem como a minimização do tempo de resposta, este estudo objetiva apresentar e analisar as atividades de resposta a desastres naturais desempenhadas pela Força Aérea Brasileira (FAB), sob a ótica da modelagem de processos. Para isso, realiza-se um estudo de caso pautado no mapeamento das atividades realizadas pela Aeronáutica com base nas legislações em vigor e com base na operação real de apoio às vítimas do desastre da região serrana fluminense em 2011, considerada uma das maiores tragédias climáticas ocorridas no Brasil. Simultaneamente, é conduzida uma comparação de adequação ao padrão em relação à literatura acadêmica. Os resultados deste trabalho apontam para processos realizados pela FAB que podem ser considerados na elaboração de uma doutrina específica relativa ao tema e ainda os processos não previstos nas legislações vigentes, os quais podem ser objeto de futuras pesquisas na FAB, além de sugerir a inclusão de processos não representados nos modelos de processos de resposta a desastre da literatura acadêmica. Com isso, almeja-se subsidiar futuras pesquisa no meio acadêmico sobre o tema, bem como contribuir para a elaboração de uma doutrina específica relativa a essas atividades, a fim de se obter uma maior eficácia e eficiência no apoio da FAB em missões humanitárias. / [en] The growing participation of the Armed Forces (AF) in natural disasters situations has ratified the importance of deepening and improvement of studies in humanitarian logistics in the military field. Knowing that excellence in processes can generate savings of resources to be mobilized to meet the needs of the affected population as well as minimizing the response time, this study aims to present and analyze the response activities to natural disasters performed by the Brazilian Air Force (BRAF), from the perspective of process modeling. For this, a case study is carried out according to the mapping of activities performed by the BRAF based on the legislation in place and on a real operation of support to victims of a disaster in the mountainous region of Rio de Janeiro in 2011, considered one of the biggest climate tragedy in Brazil. Simultaneously, a pattern matching comparability in relation to the academic literature is conducted. The results of this study point to processes performed by the BRAF that can be considered in the preparation of a specific doctrine on the subject and to processes not considered in current legislation, which may be the subject of future research in the BRAF. It also suggests the inclusion of processes not represented in process models of disaster response in the academic literature. Thus, it aims to support future studies in academic research on the subject, as well as contribute to the development of a specific doctrine on these activities in order to achieve greater effectiveness and efficiency in the BRAF support for humanitarian missions.