Assessing transportation networks vulnerability for the decision making in humanitarian logistics

Transportation networks are vulnerable to natural disasters, which can degrade their functionality and generate negative impacts over people, especially during the emergency phase, where timely access of humanitarian operations is critical. An interruption of humanitarian relief supply chains at the short-term emergency stage increases the human suffering (deprivation costs) resulting from the lack of access to essential goods or services. These costs are generally not considered in the mathematical formulations used for assessing vulnerability in transportation networks, which can lead to inappropriate strategies for humanitarian assistance. Consequently, in this doctoral thesis a vulnerability assessment model for the development of high impact humanitarian logistics operations is presented. The model is based on an economic analysis that involves both the logistical costs of humanitarian distribution operations and the deprivation cots derived from the delays in the provision of basic supplies

A Novel Approach to Include Social Costs in Humanitarian Objective Functions

Social cost functions in humanitarian operations are defined as the sum of logistics and deprivation costs. They are widely regarded as appropriate objective functions, even though the way they were introduced requires cautiously formulated deprivation cost functions for the analyzed goods and do not allow decision makers to include their individual preferences. We develop this approach further and introduce a normalized weighted sum approach to increase decision makers\u27 understanding of the tradeoffs between cost and suffering and, therefore, increase transparency significantly. Furthermore, we apply the approach to a case study of a hypothetical water system failure in the city of Berlin. We show that the normalized weighted sum approach significantly improves transparency and leads to a deeper understanding of the tradeoffs during the crisis. Consequently, it proved itself as a powerful tool for decision makers preparing for or navigating through a crisis

Facility Location Planning in Relief Logistics: Decision Support for German Authorities

Disasters have devastating impacts on societies, affecting millions of people and businesses each year. The delivery of essential goods to beneficiaries in the aftermath of a disaster is one of the main objectives of relief logistics. In this context, selecting suitable locations for three different types of essential facilities is central: warehouses, distribution centers, and points of distribution. The present dissertation aims to improve relief logistics by advancing the location selection process and its core components. Five studies published as companion articles address substantial aspects of relief logistics. Despite the case studies\u27 geographical focus on Germany, valuable insights for relief logistics are derived that could also be applied to other countries. Study A addresses the importance of public-private collaboration in disasters and highlights the significance of considering differences in resources, capabilities, and strategies when using logistical models. Moreover, power differences, information sharing, and partner selection also play an important role. Study B elaborates on the challenges to identify candidate locations for warehouses, which are jointly used by public and private actors, and suggests a methodology to approach the collaborative warehouse selection process. Study C investigates the distribution center selection process and highlights that including decision-makers\u27 preferences in the objective function of location selection models helps to raise awareness of the implications of location decisions and increases transparency for decision-makers and the general population. Study D analyzes the urban water supply in disasters using a combination of emergency wells and mobile water treatment systems. Selected locations of mobile systems change significantly if vulnerable parts of the population are prioritized. Study E highlights the importance of accurate information in disasters and introduces a framework that allows determining the value of accurate information and the planning error due to inaccurate information. In addition to the detailed results of the case studies, four general recommendations for authorities are derived: First, it is essential to collect information before the start of the disaster. Second, training exercises or role-playing simulations with companies will help to ensure that planned collaboration processes can be implemented in practice. Third, targeted adjustments to the German disaster management system can strengthen the country\u27s resilience. Fourth, initiating public debates on strategies to prioritize parts of the population might increase the acceptance of the related decision and the stockpiling of goods for the people who know in advance that they will likely not receive support. The present dissertation provides valuable insights into disaster relief. Therefore, it offers the potential to significantly improve the distribution of goods in the aftermath of future disasters and increase disaster resilience

Facility Location Planning in Relief Logistics: Decision Support for German Authorities

The delivery of essential goods to beneficiaries in the aftermath of a disaster is one of the main objectives of relief logistics. Thereby, the present work aims to improve relief logistics by improving the location selection of warehouses, distribution centers, and points of distribution. Consequently, it offers the potential to significantly improve the distribution of goods in the aftermath of future disasters and, thereby, increase disaster resilience

Revisiting Gini for equitable humanitarian logistics

Modeling equity in the allocation of scarce resources is a fast-growing concern in the humanitarian logistics field. The Gini coefficient is one of the most widely recognized measures of inequity and it was originally characterized by means of the Lorenz curve, which is a mathematical function that links the cumulative share of income to rank-ordered groups in a population. So far, humanitarian logistics models that have approached equity using the Gini coefficient do not actually optimize its original formulation, but use alternative definitions that do not necessarily replicate that original Gini measure. In this paper, we derive the original Gini coefficient via the Lorenz curve to optimize the effectiveness-equity trade-off in a humanitarian location-allocation problem. We also propose new valid inequalities based on an upper-bounding Lorenz curve to tighten the linear relaxation of our model and develop a clustering-based construction of the Lorenz curve that requires fewer additional constraints and variables than the original one. The computational study, based on the floods and landslides in Rio de Janeiro state, Brazil, reveals that while alternative Gini definitions have interesting properties, they can generate vastly different decisions compared to the original Gini coefficient. In addition, viewed from the perspective of the original Gini coefficient, these decisions can be significantly less equitable

Equity in Health and Humanitarian Logistics:A Beneficiary Perspective

In recent years, academics and health and humanitarian organizations are calling for ‘people-centered’ approaches, making beneficiaries’ preferences central to decisions making. While substantial progress has been made in capturing beneficiaries’ needs in resource allocation models, the approach to equity remains essentially ‘top-down’. That is, while diversity in needs is captured, the diversity in equity perceptions is not acknowledged. In this article, we argue there is a need for a complementary ‘bottom up’ view on equity, taking the perspective of the beneficiary. This will help academics and organizations to better account for the diversity in culture, experience, and social status present in most beneficiary populations. We present the 3P framework (People, Past, and Present) to help systematically think of drivers of beneficiaries’ distributional preferences. Furthermore, we illustrate how these preferences can be integrated into utility-based modeling and why accounting for preferences is important

Facility Location Planning in Relief Logistics: Decision Support for German Authorities

The delivery of essential goods to beneficiaries in the aftermath of a disaster is one of the main objectives of relief logistics. Thereby, the present work aims to improve relief logistics by improving the location selection of warehouses, distribution centers, and points of distribution. Consequently, it offers the potential to significantly improve the distribution of goods in the aftermath of future disasters and, thereby, increase disaster resilience

Public-private collaborations in emergency logistics: A framework based on logistical and game-theoretical concepts

Collaboration in emergency logistics can be beneficial for governmental actors when supply chains need to be set up immediately. In comparison to research on humanitarian-business partnerships, the body of literature on so-called Public–Private Emergency Collaborations (PPEC) remains scarce. Private companies are only rarely considered within research on emergency collaborations, although they serve as an important chain in the efficient supply of goods given their resources and existing communication networks. Based on this research gap, we contribute to the research field by quantitatively evaluating public–private collaboration in emergency logistics. A framework for public–private emergency collaborations is developed based on logistical and game-theoretical concepts. In addition, we characterize both public and private actors’ possible roles in emergency logistics based on literature research and real cases. Furthermore, we provide a structured overview on existing PPECs and the challenges they are confronted with. The game-theoretic PPEC model created in this paper provides more detailed information into the motivation and incentives of the partners involved in emergency collaborations. Inspired by game-theoretic accounts of conventional public–private partnerships, this model sheds light on the partners’ participation constraints (which define the scope of collaboration), the effects on the outcome if the partners’ contributions are strategic substitutes, and on reputational effects. Finally, we illustrate how a mechanism design approach can be used by the state to transform the firm’s incentives into lower levels of undersupply or deprivation

Public-Private Collaborations in Emergency Logistics: A Framework based on Logistical and Game-Theoretical Concepts

Collaboration in emergency logistics can be beneficial for governmental actors when supply chains need to be set up immediately. In comparison to research on humanitarian-business partnerships, the body of literature on so-called Public-Private Emergency Collaborations (PPEC) remains scarce. Private companies are only rarely considered within research on emergency collaborations, although they could contribute to a more efficient supply of goods given their resources and existing communication networks. Based on this research gap, this paper develops a logistical and game-theoretical modeling framework for public-private emergency collaborations. We characterize both public and private actors\u27 possible roles in emergency logistics based on literature research and real cases. Furthermore, we provide an overview on existing PPECs and the challenges they are confronted with. The concluding framework contains aspects from humanitarian logistics on the governmental side and from business continuity management (BCM) or corporate social responsibility (CSR) on the commercial side. To address the challenge of evaluating different objectives in a collaboration, we add a game-theoretical approach to highlight the incentive structure of both parties in such a collaboration. In this way, we contribute to the research field by quantitatively evaluating public-private collaboration in emergency logistics while considering the problem-specific challenge of the parties\u27 different objectives