Search results for "HUMANITARIAN LOGISTICS"

showing 10 items of 15 documents

Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
researchProduct

Understanding Decision Support in Large-Scale Disasters: Challenges in Humanitarian Logistics Distribution

2017

Disasters are characterized by conflicting, uncertain, or lacking data. Nevertheless, humanitarian responders need to make rapid decisions. This is particularly true for the immediate response to a sudden onset disaster. Since most humanitarian decision support systems (DSS) make important assumptions on data availability and quality that are often not fulfilled in practice, decision-makers are largely left to their experience. In this paper, we identify three major challenges for an operational DSS to support distribution planning: (i) deep uncertainty; (ii) reflecting field conditions and constraints; and (iii) rapid humanitarian logistics modeling. We review the relevant theories and pro…

Decision support system021103 operations researchHumanitarian LogisticsEmergency managementManagement sciencebusiness.industrymedia_common.quotation_subject05 social sciences0211 other engineering and technologies02 engineering and technologyScheduling (computing)System requirementsRisk analysis (engineering)Service levelScale (social sciences)0502 economics and businessQuality (business)business050203 business & managementmedia_common
researchProduct

Requirements for Relief Distribution Decision-Making in Humanitarian Logistics

2020

Making efficient and effective decisions in the chaotic environment of humanitarian relief distribution (HRD) is challenging. Decision-makers need to concentrate on numerous decision factors categorized into decision objectives, variables, and constraints. Recent HRD literature focuses on optimizing procedures while neglecting the quantification of essential requirements (decision factors) for information systems to provide decision-making support. In this article, we address this gap by accumulating affecting decision factors from both literature and practice. We investigated the practical implications of these factors in HRD decision-making by measuring the preferences of a Delphi panel c…

Decision support system021103 operations researchHumanitarian LogisticsManagement scienceProcess (engineering)Computer science05 social sciences0211 other engineering and technologiesDelphi method02 engineering and technologyWork (electrical)0502 economics and businessInformation systemNatural disasterSet (psychology)050203 business & management
researchProduct

GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters

2019

These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.

EngineeringComputer and Information Sciencehumanitarian logistics multi-objective temporary distribution centers sudden-onset natural disasters GAMSData_FILESSocial Sciences
researchProduct

Deep uncertainty in humanitarian logistics operations: decision-making challenges in responding to large-scale natural disasters

2019

Humanitarian logistics operations perform challenging tasks while responding to large-scale natural disasters. Decision makers at different stages of humanitarian operations exploit numerous problem-specific decision-making models or tools. When synchronising the outputs (decisions) from models into a unified solution, the situation becomes critical because of the lack of consensus on objectives and the availability of model alternatives with uncertainty in the models' key parameters and evaluation of the models' alternative outcomes. Thus, the operational environment becomes complex to respond urgently to humanitarian needs and makes the situation deeply uncertain. In this paper, we inspec…

Humanitarian LogisticsExploitEmergency managementComputer scienceProcess (engineering)business.industryStrategy and ManagementScale (chemistry)05 social sciences050301 educationRisk analysis (engineering)0502 economics and businessEmergency MedicineKey (cryptography)Robustness (economics)Natural disasterbusiness0503 education050203 business & managementInternational Journal of Emergency Management
researchProduct

Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters

2019

International audience; Locating distribution centers is critical for humanitarians in the immediate aftermath of a sudden-onset disaster. A major challenge lies in balancing the complexity and uncertainty of the problem with time and resource constraints. To address this problem, we propose a location–allocation model that divides the topography of affected areas into multiple layers; considers constrained number and capacity of facilities and fleets; and allows decision-makers to explore trade-offs between response time and logistics costs. To illustrate our theoretical work, we apply the model to a real dataset from the 2015 Nepal earthquake response. For this case, our method results in…

Humanitarian LogisticsOperations researchComputer science0211 other engineering and technologiesTransportation02 engineering and technologyTemporary distribution centersMulti-objective optimizationHumanitarian logisticsReduction (complexity)Location–allocation problem[SPI]Engineering Sciences [physics]2015 Nepal earthquake0502 economics and businessImmediate responseBusiness and International ManagementMulti layerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Civil and Structural Engineering050210 logistics & transportation021103 operations research05 social sciencesResponse timeMulti-objective optimizationWork (electrical)Location-allocationSudden onset
researchProduct

Managing in-country transportation risks in humanitarian supply chains by logistics service providers: Insights from the 2015 Nepal earthquake

2017

International audience; Humanitarian supply chains (HSCs) play a central role in effective and efficient disaster relief operations. Transportation has a critical share in HSCs and managing its risks helps to avoid further disruptions in relief operations. However, there is no common approach to or culture of risk management that its applicability has been studied through recent cases. This paper incorporates an empirical research design and makes a threefold contribution: first, it identifies in-country transportation risks during Nepal response. Second, we evaluate afore identified risks through an expert driven risk assessment grid. Third, we use our field data to study how some humanita…

Humanitarian LogisticsSupply chain0211 other engineering and technologies02 engineering and technology[SPI]Engineering Sciences [physics]Empirical research2015 Nepal earthquake0502 economics and businessLogistics service providersOperations managementRisk managementFlexibility (engineering)021103 operations researchEmergency managementbusiness.industry05 social sciencesGeologyService providerGeotechnical Engineering and Engineering GeologyField researchHumanitarian supply chainRisk analysis (engineering)businessRisk assessmentSafety ResearchTransportation risks050203 business & management
researchProduct

Understanding the Health Disaster: Research Design for the Response to the 2014 West African Ebola Outbreak

2015

International audience; The 2014 Ebola outbreak in West Africa is the largest ever in history, affecting multiple countries and to this date, the World Health Organization has registered more than 6,500 deaths attributed to Ebola. The challenges arising from this outbreak to responders worldwide do not follow the standard characterisation or response patterns of natural sudden onset vs. conflict disasters. Rather, it is a medical emergency, which is intertwined with multiple challenges in the sectors decision-making, coordination, logistics and information management. In this paper, we present our research framework, which is based on desk research and initial interviews with responders. Th…

Information managementEbola Virus DiseaseEconomic growthOperations researchDisaster researchDecision SupportOutbreakCoordination and Information SharingGeneral MedicineWorld health3. Good healthWest africaHumanitarian LogisticsWest african[SPI]Engineering Sciences [physics]GeographyConceptual frameworkField researchHealth DisasterEngineering(all)
researchProduct

On the Literature Divergences of the Humanitarian Supply Chain

2015

International audience; The field of humanitarian logistics has evolved rapidly over the past decade, drawing on contributions from the areas of operations research, business engineering, supply chain management, information systems, and computer sciences. Even more varied are the specific problems that are modeled and addressed, ranging monitoring of the supply chain as a whole to decision support for specific sourcing or distribution decisions. While recently, few studies have presented taxonomies and identified research gaps, there is to this date not yet a clear understanding of how the different methodologies and domains shall be combined to achieve a consistent mix of methods and tool…

Literature reviewDecision support systemProcess managementHumanitarian LogisticsSupply chain managementbusiness.industryComputer scienceSupply chainBusiness engineeringDistribution (economics)Operational researchBusiness engineeringField (computer science)Humanitarian supply chain[SPI]Engineering Sciences [physics]Information systembusiness
researchProduct

A methodology for developing evidence-based optimization models in humanitarian logistics

2022

AbstractThe growing need for humanitarian assistance has inspired an increasing amount of academic publications in the field of humanitarian logistics. Over the past two decades, the humanitarian logistics literature has developed a powerful toolbox of standardized problem formulations to address problems ranging from distribution to scheduling or locations planning. At the same time, the humanitarian field is quickly evolving, and problem formulations heavily rely on the context, leading to calls for more evidence-based research. While mixed methods research designs provide a promising avenue to embed research in the reality of the field, there is a lack of rigorous mixed methods research …

OptimizationCOORDINATIONMixed methodsCase studyGeneral Decision SciencesManagement Science and Operations ResearchHumanitarian logisticsVDP::Samfunnsvitenskap: 200::Økonomi: 210OPERATIONSField researchFACILITY LOCATIONDEFINITIONDESIGNResearch designRELIEF DISTRIBUTIONQUALITYSUPPLY CHAIN MANAGEMENTNETWORKPERSPECTIVE
researchProduct