0000000000056056

AUTHOR

Matthieu Lauras

0000-0003-2901-4038

showing 10 related works from this author

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)
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Special Issue on Innovative Artificial Intelligence Solutions for Crisis Management

2015

International audience

Management sciencebusiness.industryComputer science05 social sciences02 engineering and technologyCrisis management[SPI]Engineering Sciences [physics]Artificial IntelligenceControl and Systems Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesArtificial intelligenceElectrical and Electronic Engineeringbusiness050107 human factorsComputingMilieux_MISCELLANEOUS
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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
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Structuring Humanitarian Supply Chain Knowledge Through a Meta-Modeling Approach

2017

To develop decision support systems (DSS) that improve humanitarian supply chain (HSC) performance, there is a need for methods that support on field data gathering and knowledge structure. We propose a meta-model to structure the knowledge of HSC and to obtain a shared vision of the HSC. It has been developed to provide a framework to class gathered data by connecting it to HSC concepts. The meta-model includes four packages, defining the collaborative ecosystem (context, actors, objectives, and behavior). The concepts gathered during our field research experiences, added to the HSC core literature, have permitted to build the HSC meta-model layer. Models built from this meta-model can be …

Structure (mathematical logic)021110 strategic defence & security studiesClass (computer programming)Decision support systemProcess managementHorizontal and verticalComputer scienceSupply chain05 social sciences0211 other engineering and technologiesContext (language use)02 engineering and technologyMeta-modelingStructuringHumanitarian supply chain[SPI]Engineering Sciences [physics]0502 economics and businessField researchComputingMilieux_MISCELLANEOUS050203 business & management
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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
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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
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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
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Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

2019

International audience; The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other organizations. The concept of ‘network flexibility’ is, however, not clearly defined. The lack of an unanimous definition has led to a lack of consistent understanding and comparisons. This paper makes a threefold contribution: first, it defines the concept of network flexibility for HSC in the context of sudden onset disasters. Second, it proposes a framework to measure network flexibility in HSCs. Third, we apply our framework to the 2015 Nepal earthqu…

FUZZY AHPMeasurement frameworkINFORMATIONComputer scienceSupply chain0211 other engineering and technologiesGeneral Decision SciencesContext (language use)02 engineering and technologyManagement Science and Operations Research[SPI]Engineering Sciences [physics]2015 Nepal earthquakeMANAGEMENTAIDField researchNetwork flexibilityTECHNOLOGYOperations managementDownstream (networking)PERFORMANCE-MEASUREMENTFlexibility (engineering)021103 operations researchRESILIENCELOGISTICSTRANSPORTATIONField researchHumanitarian supply chainEVALUATION MODELRisk analysis (engineering)
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Developing a framework for designing humanitarian blockchain projects

2021

International audience; Blockchain technology promises to improve the efficiency, transparency, and accountability of humanitarian operations. Yet at the same time, especially the humanitarian context with its characteristic volatility poses unique challenges to any technology. Most prominent are the humanitarian principles that are fundamental to humanitarian operations. These ethical principles are set to protect the most vulnerable populations. Designing blockchain projects in the humanitarian context therefore requires a systematic framework that helps humanitarians make critical choices.While some design instructions can be found for commercial applications, the humanitarian context re…

[SPI.OTHER]Engineering Sciences [physics]/Other0209 industrial biotechnologyBlockchainINFORMATIONGeneral Computer ScienceBlockchain technologyINNOVATIONComputer scienceHumanitarian operationsContext (language use)ComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyIntellectual propertyLESSONSVDP::Samfunnsvitenskap: 200::Økonomi: 210SUPPLY CHAINS020901 industrial engineering & automationBlockchainSYSTEMSMANAGEMENT0202 electrical engineering electronic engineering information engineeringTECHNOLOGYRelevance (information retrieval)Case StudyGeneral EngineeringGOVERNANCERequirements[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringLOGISTICSTransparency (behavior)TRANSFORMATIONRisk analysis (engineering)ScalabilityAccountability020201 artificial intelligence & image processingDesign frameworkHumanitarian principlesComputers in Industry
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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
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