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Littérature scientifique sur le sujet « Emergency logistics planning »

Auteur : Grafiati
Publié le 21 décembre 2024

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Articles de revues sur le sujet "Emergency logistics planning"

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Kapucu, PhD, Naim. « Emergency logistics planning and disaster preparedness ». Journal of Emergency Management 4, no 6 (1 novembre 2006) : 21. http://dx.doi.org/10.5055/jem.2006.0049.

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Emergency management is often evaluated and improved after a disaster, especially in the realm of preparedness. This article discusses the importance of logistics planning and operation as it relates to preparedness. The selection of field logistics sites, such as staging areas, prior to the occurrence of a natural or man-made disaster is a crucial step in emergency management planning. Selection can be aided and kept consistent by pre-identifying state- and countylevel guidelines for staging areas.
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Özdamar, Linet, Ediz Ekinci et Beste Küçükyazici. « Emergency Logistics Planning in Natural Disasters ». Annals of Operations Research 129, no 1-4 (juillet 2004) : 217–45. http://dx.doi.org/10.1023/b:anor.0000030690.27939.39.

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Liu, Hongbin, Guopeng Song, Tianyu Liu et Bo Guo. « Multitask Emergency Logistics Planning under Multimodal Transportation ». Mathematics 10, no 19 (3 octobre 2022) : 3624. http://dx.doi.org/10.3390/math10193624.

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Multitask emergency logistics planning is a complex optimization problem in practice. When a disaster occurs, relief materials or rescue teams should be dispatched to destinations as soon as possible. In a nutshell, the problem can be described as an optimization of multipoint-to-multipoint transportation delivery problem in a given multimodal traffic network. In this study, a multimodal traffic network is considered for emergency logistics transportation planning, and a mixed-integer programming (MIP) formulation is proposed to model the problem. In order to solve this model, we propose a two-layer solution method. The inner layer is to manage the single-task route recommendation, for which we develop a shortest-path algorithm with the multimodal traffic network. Here, the optimal substructure of the algorithm and its time complexity are presented. With the route of each task calculated by the single-task solver, a general optimization algorithm based on improved particle swarm optimization (PSO) is proposed at the outer layer to coordinate the execution of each task constrained by the limited transportation capacity, so as to derive solutions for multi-commodity emergency logistics planning. Extensive computational results show that the proposed method can find solutions of good quality in reasonable time. Meanwhile, through the sensitivity analysis of the algorithm, we find the appropriate parameters for general optimization algorithm to solve the problem proposed in this paper. The proposed approach is effective and practical for solving multitask emergency logistics planning problem under multimodal transportation, which can find a satisfactory solution in an acceptable time.
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VanVactor, Jerry D. « Strategic health care logistics planning in emergency management ». Disaster Prevention and Management : An International Journal 21, no 3 (22 juin 2012) : 299–309. http://dx.doi.org/10.1108/09653561211234480.

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Wang, Longfei, Jie Song et Leyuan Shi. « Dynamic emergency logistics planning : models and heuristic algorithm ». Optimization Letters 9, no 8 (20 janvier 2015) : 1533–52. http://dx.doi.org/10.1007/s11590-015-0853-z.

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Young, PhD, FCILT, Richard R., et Matthew R. Peterson, MBA, CSCP, SCOR-P. « Emergency management logistics must become emergency supply chain management ». Journal of Emergency Management 12, no 2 (1 mars 2014) : 171. http://dx.doi.org/10.5055/jem.2014.0171.

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Much has been written about how emergency management (EM) needs to look to the future regarding issues of resource management (monetary, human, and material). Constraints on budgets are ongoing and the staffing of emergency response activities is often difficult because volunteers have little to no training. The management of material resources has also been a challenge because 1) the categories of material vary by the type of emergency, 2) the necessary quantities of material are often not located near the ultimate point of need, and 3) the transportation assets are rarely available in the form and quantity required to allow timely and effective response. The logistics and resource management functions of EM (what we refer to as EM logistics) have been largely reactive, with little to no pre-event planning for potential demand. We applied the Supply Chain Operational Reference (SCOR) model to EM logistics in an effort to transform it to an integrated and scalable system of physical, information, and financial flows into which are woven the functions of sourcing, making, delivering, and returning, with an overarching planning function that transcends the organizational boundaries of participants. The result is emergency supply chain management, which embraces many more participants who share in a larger quantity of more useful information about the resources that need to be deployed when responding to and recovering from emergency events.
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Lefei Li et Shuming Tang. « An Artificial Emergency-Logistics-Planning System for Severe Disasters ». IEEE Intelligent Systems 23, no 4 (juillet 2008) : 86–88. http://dx.doi.org/10.1109/mis.2008.56.

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Safaei, Abdul Sattar, Saba Farsad et Mohammad Mahdi Paydar. « Emergency logistics planning under supply risk and demand uncertainty ». Operational Research 20, no 3 (30 janvier 2018) : 1437–60. http://dx.doi.org/10.1007/s12351-018-0376-3.

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Gavidia, Jose V. « A model for enterprise resource planning in emergency humanitarian logistics ». Journal of Humanitarian Logistics and Supply Chain Management 7, no 3 (4 décembre 2017) : 246–65. http://dx.doi.org/10.1108/jhlscm-02-2017-0004.

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Purpose While the need for information systems is regularly highlighted in the humanitarian logistics literature, a detailed model of what such system would look like is missing. The purpose of this paper is to highlight the need and advantages of enterprise resource planning (ERP) technology in humanitarian emergency logistics. The paper also proposes a model for the configuration, maintenance, operation, and improvement of the system. Design/methodology/approach This conceptual paper uses existing logistics and information systems literature to build the logical case for an integrated enterprise system for humanitarian emergencies, and to propose conceptual content and process models. Findings The problem of lack of coordination is reviewed, and a holistic solution is proposed through a structure and model of ERP systems technology to meet the specific requirements of humanitarian emergencies. Research limitations/implications As in any conceptual paper, a limitation of this paper is the lack of empirical validation of the proposed system. It also might be difficult to obtain the cooperation of multiple organizations. This research focuses on emergency humanitarian logistics, where effectiveness and speed have priority over simplicity or cost. Practical implications The model proposed in this paper links current efforts in humanitarian emergency coordination with existing supply chain information technologies, and is practically feasible both from the technological and organizational perspectives. Social implications Because of the critical, life or death nature of the problem, social and ethical implications of this research are broad, including the divergence of coordination in humanitarian vs commercial and military logistics, as well as inter-agency politics. Originality/value This paper is a bold but realistic attempt to take a holistic view of humanitarian logistics and design a system that would be effective, and calls humanitarian organizations worldwide to collaborate in its implementation.
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Shi, Hong Xia, Xiao Bao Zhang, Zhi Jian Duan et Ge Yu. « Research on Planning of Logistics System in the Material Support Base for Emergency ». Advanced Materials Research 591-593 (novembre 2012) : 2474–77. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.2474.

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The logistics system in the material support base for emergency is a complex system which is consist of a variety of storage and transportation areas, storage and transportation modes, equipment configuration and operating methods. The scientific and reasonable planning and design of the system is the key to constructing efficient logistics system. This paper put forward the methodology including the system orientation, capability planning and detailed planning. It also elaborated the principle and methods of the design of the storage unit in logistics system, the overall size and capacity planning, storage area, storage and transportation mode planning as well as the capacity of storage area planning. This provides a theory basis for the layout and construction of the logistics system in the material support base for emergency.
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Thèses sur le sujet "Emergency logistics planning"

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Li, Jing. « Optimization of emergency logistics for natural disasters ». Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASG072.pdf.

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Le problème de planification de la logistique d'urgence (ELPP) pour les catastrophes naturelles a attiré une attention significative ces dernières années en raison de la fréquence croissante et des impacts graves sur la santé publique et la sécurité. Ces catastrophes peuvent être classées en deux types : prévisibles et imprévisibles. Cette étude se concentre sur l'amélioration de l'efficacité et de l'efficience des secours pour les deux types de catastrophes.Les catastrophes imprévisibles, survenant soudainement avec peu ou sans avertissement préalable, présentent de sérieux défis pour les organisations de secours. Les recherches actuelles sur les ELPPs pour les catastrophes imprévisibles (ELPPs-UD) négligent le rôle des donations ainsi que des facteurs clés simultanément, tels que la demande, le transport et l'approvisionnement incertains, qui affectent ensemble l'efficacité des interventions. Pour combler cette lacune, le premier travail de la thèse étudie un nouveau ELPP-UD qui considère la corrélation entre les donations et la gravité des catastrophes, ainsi que diverses incertitudes. Un nouveau modèle d'optimisation robuste à deux étapes est construit et des algorithmes sur mesure de génération de colonnes et de contraintes (CCG) sont développés pour résoudre ce problème. Les expériences numériques à partir d'une étude de cas et d'instances générées aléatoirement valident l'efficacité et l'efficience du modèle et des algorithmes proposés.Les catastrophes naturelles prévisibles sont caractérisées par leur capacité à être prévues bien à l'avance. Les informations prévisionnelles appropriées peuvent être utilisées pour des alertes précoces et une préparation aux urgences afin d'améliorer l'efficacité des secours. Cependant, la littérature existante sur les problèmes de planification de la logistique d'urgence pour les catastrophes prévisibles (ELPP-PD) présente plusieurs lacunes : 1) Aucune étude n'examine les activités de secours en considérant simultanément les trois étapes: avant les alertes, entre une alerte et le déclenchement de la catastrophe, et après la catastrophe. 2) La plupart des études ne tiennent pas compte des incertitudes temporelles liées à la trajectoire et à l'intensité d'une catastrophe. 3) Il y a un manque de prise en compte des options de transport impliquant la participation du public, telles que les transporteurs “crowd-sourced”, même si leur rôle peut être crucial pour assurer une réponse rapide en cas de catastrophe.Pour combler ces lacunes, le deuxième travail de la thèse étudie un nouveau ELPP-PD qui prend en compte simultanément les décisions de secours en trois étapes et les incertitudes temporelles liées à la trajectoire et à l'intensité d'une catastrophe. Un nouveau modèle d'optimisation robuste à trois étapes est proposé. Pour résoudre le problème efficacement, un modèle déterministe équivalent est proposé, basé sur une analyse théorique, puis un algorithme de recouvrement progressif amélioré est développé. L'efficacité et l'efficience du modèle et de l'algorithme proposés sont évaluées par une étude de cas et des instances générées aléatoirement.La troisième partie de la thèse examine un ELPP-PD innovant qui intègre l'utilisation de supports “crowd-sourced”. Pour ce problème, un nouveau modèle robuste à base de contraintes en probabilité sur plusieurs périodes est proposé, qui est ensuite converti en un modèle déterministe équivalent par une analyse théorique. Un algorithme heuristique basé sur la CCG est développé pour résoudre efficacement le problème. Les résultats expérimentaux basés sur une étude de cas et des instances générées aléatoirement démontrent la bonne performance du modèle et de l'algorithme proposés
The emergency logistics planning problem (ELPP) for natural disasters has gained significant attention in recent years due to the increasing frequency and severe impacts of these events on public health and safety. These disasters can be classified into two types: predictable and unpredictable. This study focuses on improving the effectiveness and efficiency of relief efforts for both types of disasters.Unpredictable natural disasters, which occur suddenly with little to no warning, present significant challenges to relief organizations. Existing literature on ELPPs for unpredictable natural disasters (ELPPs-UD) fails to consider the impact of in-kind donations on relief activities and does not fully explore key factors in disaster relief together, such as uncertain demand, transportation, and supply. These oversights can affect the efficiency of relief activities. To bridge this gap, we first study a new ELPP-UD that considers the correlation between in-kind donations and disaster severity, as well as various uncertainties. A novel two-stage distributionally robust optimization model is constructed, and tailor-made column-and-constraint generation (CCG) algorithms are developed to solve the problem. Numerical experiments on a case study and randomly generated instances validate the effectiveness and efficiency of the proposed model and algorithms.Predictable natural disasters are characterized by their ability to be forecasted well in advance. Appropriate forecasting information can be used for earlier disaster warnings and emergency preparedness to improve relief effectiveness. However, the existing literature on ELPPs for predictable disasters (ELPPs-PD) has several research gaps: 1) No study fully considers the relief activities at all three stages simultaneously: pre-warnings, between a warning and the onset of the disaster, and post-disaster. 2) Most studies do not consider both time-dependent uncertainties in the disaster's trajectory and intensity. 3) There is a lack of consideration for transportation options that involve public participation, i.e., crowd-sourced carriers, even though they can be crucial in ensuring a timely disaster response.To bridge these research gaps, the second work of the thesis investigates a novel ELPP-PD that accounts for three-stage relief decisions and time-dependent uncertainties in the disaster's trajectory and intensity together. A novel three-stage distributionally robust optimization model is proposed for the problem. To efficiently resolve the problem, an equivalent deterministic model is provided based on theoretical analysis, and then an enhanced progressive hedging algorithm is proposed. The effectiveness and efficiency of the proposed model and algorithm are evaluated through a case study and randomly generated instances.The third part of the thesis further examines an innovative ELPP-PD that incorporates the use of crowd-sourced carriers. A novel multi-period robust chance-constraint model is proposed, which is then converted into an equivalent deterministic model through theoretical analysis. A heuristic-based CCG algorithm is then developed to effectively solve the problem. Experimental results based on a case study and randomly generated instances demonstrate the good performance of the proposed model and algorithm
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Agca, Esra. « Optimization-based Logistics Planning and Performance Measurement for Hospital Evacuation and Emergency Management ». Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51551.

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This dissertation addresses the development of optimization models for hospital evacuation logistics, as well as the analyses of various resource management strategies in terms of the equity of evacuation plans generated. We first formulate the evacuation transportation problem of a hospital as an integer programming model that minimizes the total evacuation risk consisting of the threat risk necessitating evacuation and the transportation risk experienced en route. Patients, categorized based on medical conditions and care requirements, are allocated to a limited fleet of vehicles with various medical capabilities and capacities to be transported to receiving beds, categorized much like patients, at the alternative facilities. We demonstrate structural properties of the underlying transportation network that enables the model to be used for both strategic planning and operational decision making. Next, we examine the resource management and equity issues that arise when multiple hospitals in a region are evacuated. The efficiency and equity of the allocation of resources, including a fleet of vehicles, receiving beds, and each hospital\'s loading capacity, determine the performance of the optimal evacuation plan. We develop an equity modeling framework, where we consider equity among evacuating hospitals and among patients. The range of equity of optimal solutions is investigated and properties of optimal and equitable solutions based on risk-based utility functions are analyzed. Finally, we study the integration of the transportation problem with the preceding hospital building evacuation. Since, in practice, the transportation plan depends on the pace of building evacuation, we develop a model that would generate the transportation plan subject to the output of hospital building evacuation. The optimal evacuation plans are analyzed with respect to resource utilization and patient prioritization schemes. Parametric analysis of the resource constraints is provided along with managerial insights into the assessment of evacuation requirements and resource allocation. In order to demonstrate the performance of the proposed models, computational results are provided using case studies with real data obtained from the second largest hospital in Virginia.
Ph. D.
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Urbanovsky, Joshua C. « Computational Methods to Optimize High-Consequence Variants of the Vehicle Routing Problem for Relief Networks in Humanitarian Logistics ». Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248473/.

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Optimization of relief networks in humanitarian logistics often exemplifies the need for solutions that are feasible given a hard constraint on time. For instance, the distribution of medical countermeasures immediately following a biological disaster event must be completed within a short time-frame. When these supplies are not distributed within the maximum time allowed, the severity of the disaster is quickly exacerbated. Therefore emergency response plans that fail to facilitate the transportation of these supplies in the time allowed are simply not acceptable. As a result, all optimization solutions that fail to satisfy this criterion would be deemed infeasible. This creates a conflict with the priority optimization objective in most variants of the generic vehicle routing problem (VRP). Instead of efficiently maximizing usage of vehicle resources available to construct a feasible solution, these variants ordinarily prioritize the construction of a minimum cost set of vehicle routes. Research presented in this dissertation focuses on the design and analysis of efficient computational methods for optimizing high-consequence variants of the VRP for relief networks. The conflict between prioritizing the minimization of the number of vehicles required or the minimization of total travel time is demonstrated. The optimization of the time and capacity constraints in the context of minimizing the required vehicles are independently examined. An efficient meta-heuristic algorithm based on a continuous spatial partitioning scheme is presented for constructing a minimized set of vehicle routes in practical instances of the VRP that include critically high-cost penalties. Multiple optimization priority strategies that extend this algorithm are examined and compared in a large-scale bio-emergency case study. The algorithms designed from this research are implemented and integrated into an existing computational framework that is currently used by public health officials. These computational tools enhance an emergency response planner's ability to derive a set of vehicle routes specifically optimized for the delivery of resources to dispensing facilities in the event of a bio-emergency.
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Mma, Stephanie Weiya. « Formulation of a parametric systems design framework for disaster response planning ». Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42919.

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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.
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Chan, Wen-Chou, et 詹雯州. « Study of Planning of Emergency Network and disaster logistics relief model－A Case Study of Taichung Country ». Thesis, 2012. http://ndltd.ncl.edu.tw/handle/p667y9.

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碩士
逢甲大學
都市計畫所
100
This research is an empirical study of Taichung County. There are two main parts.First, it got the fragility curve through database of road network, and estimate for road’s safety level by joint probability density function and order statistics. this can be the basis for planning the emergency network. Second, the road’s safety value be the safety index, and the travel-time cost be efficiency index. In order to integrate the safety and efficiency, the“Utility Theory” is adopted as the framework to evaluate the utilities and to judge the priority of factors. Than we substitution utility value into linear programming model, and than has acquired a optimal solution. final we compare optimal solution with minimal distance solution and sensitivity analysis for the study solution are reasonable or not.
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Baraka, Jean-Claude Munyaka. « Modelling systems for an effective humanitarian supply chain for disaster relief operations in the SADC region ». Thesis, 2014. http://hdl.handle.net/10321/1696.

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Submitted in fulfillment of the requirements of the degree of Master of Technology: Industrial Engineering, Durban University of Technology, Durban, South Africa, 2014.
The SADC region has seen both man-made and natural disasters killing over 90 thousand people and affecting millions in the past 33 years. Most of these deaths were as a result of lack of infrastructure and preparedness. Looking at the challenges for providing relief to victims/evacuees throughout the entire disaster and post-disaster periods in the region, the emphasis of this thesis is on last mile transportation of resources, victims, emergency supplies, aiming to optimize the effectiveness (quick­I response) and efficiency (low-cost) of logistics activities including humanitarian supply chain. A survey was used for data collection. Statistical analysis helped determine the impact of disaster relief chains and lead to the development of a mathematical model that shall equip the region with mechanisms for response and recovery operations. An EXCEL optimization tool was used to find the optimal way of transporting relief in the region in case of a disaster.
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Huang, Chiou-en, et 黃裘恩. « Dispatch and Logistic Planning of Emergency Response Resources for Compound Disasters-Taking New Taipei City as an Example ». Thesis, 2013. http://ndltd.ncl.edu.tw/handle/p3rtqu.

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碩士
國立臺北科技大學
土木與防災研究所
101
The responses to compound disasters are much more complex than those to a single disaster. The compound disasters caused by the 2011 off the Pacific coast of Tohoku Earthquake led to a massive number of casualties and devastating economic loss. Taiwan shares similar geographic conditions with Japan, and, therefore, may also suffer large-scale compound disasters in the future. The most difficult aspect when responding to disasters is the dispatch of emergency response resources. Effective dispatch and logistic planning of emergency response resources, which avoids wasting resources and ineffective distribution, is crucial to the performance of resource dispatch mechanisms. This study referenced the Project of 2012 National level tabletop exercise for earthquake and adopted the Taiwan Earthquake Loss Estimation System to conduct a disaster scenario simulation for New Taipei City. Demands of emergency response resources were estimated in the face of tsunamis and radioactive disasters caused by the dislocation of the Shanchiao Fault. The applicability of existing relevant disaster prevention and response sites for compound disasters was examined. This study suggests that areas that are distanced 4 km and below from faults and areas that are distanced 8 km and below from Emergency Planning Zones be designated as compound disaster potential areas. No sites of disaster prevention and response sites should be located within the potential areas. This study integrated geographic information systems with road networks to improve the design of disaster prevention and response sites. Furthermore, this study determined the locations and logistic routes of 7-Eleven logistics system, which served as an example in the simulation, to construct a domestic dispatch mechanism of disaster response resources, so as to evaluate appropriate disaster prevention sites and to plan the optimal route for logistic dispatch and planning and to establish a “logistics system of disaster response resources”. The results of this study are expected to serve as a reference for related organizations to dispatch and plan emergency response resources in the future.
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Livres sur le sujet "Emergency logistics planning"

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American Red Cross. Disaster Services. Logistics. [Washington, D.C.] : American Red Cross, 2001.

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Iqbāl, Qamar. Comparison of disaster logistics planning and execution for 2005 hurricane season. Ames, Iowa : Midwest Transportation Consortium, c/o Iowa State University, 2007.

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Iqbāl, Qamar. Comparison of disaster logistics planning and execution for 2005 hurricane season. Ames, Iowa : Midwest Transportation Consortium, c/o Iowa State University, 2007.

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Iqbāl, Qamar. Comparison of disaster logistics planning and execution for 2005 hurricane season. Ames, Iowa : Midwest Transportation Consortium, c/o Iowa State University, 2007.

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Iqbāl, Qamar. Comparison of disaster logistics planning and execution for 2005 hurricane season. Ames, Iowa : Midwest Transportation Consortium, c/o Iowa State University, 2007.

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United States. Department of Homeland Security. Office of Inspector General. FEMA's Logistics Management process for responding to catastrophic disasters. Washington, DC : Dept. of Homeland Security, Office of Inspector General, 2010.

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Ōsaka Furitsu Sangyō Kaihatsu Kenkyūjo. BCP ni yoru bōsairyoku to kigyō katsuryoku no kōjō ni mukete : Saigai ni tsuyoi sangyō toshi o mezashite : Ōsaka funai no chūshō seizōgyō no bōsai to jigyō keizoku ni kansuru chōsa kekka hōkokusho. Ōsaka-shi : Ōsaka Furitsu Sangyō Kaihatsu Kenkyūjo, 2010.

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Chandra, Saurabh, dir. SOCRATES (Vol 2, No 2 (2014) : ISSUE - JUNE). 2e éd. India : SOCRATES : SCHOLARLY RESEARCH JOURNAL, 2014.

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Humanitarian and Relief Logistics. Springer-Verlag New York Inc., 2013.

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Minis, Ioannis, Vasileios Zeimpekis et Soumia Ichoua. Humanitarian and Relief Logistics : Research Issues, Case Studies and Future Trends. Springer, 2015.

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Chapitres de livres sur le sujet "Emergency logistics planning"

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Zeng, Baiming, Yanfen Mao, Dongyang Li et Weian Guo. « COVID-19 Urban Emergency Logistics Planning with Multi-objective Optimization Model ». Dans International Conference on Neural Computing for Advanced Applications, 418–33. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5847-4_30.

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Baseler, Beth, Calvin Proffitt, Jen Sandrus, Jonathan Marchand et Eric Stavale. « 37 Supply and Logistics for Clinical Research in Low-Resource Settings ». Dans Principles and Practice of Emergency Research Response, 967–89. Cham : Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48408-7_57.

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AbstractProviding continuous logistical support for clinical research sites is a critical function of any clinical research study, one that is substantially more challenging for an emergency research response in a resource-limited setting. This chapter provides an overview of the planning considerations involved, as well as a discussion of specific functions like partnership development, export and import, transportation, supply and equipment management, and hiring in-country staff to provide logistical support. The chapter includes multiple potential solutions, since more than one approach, as well as flexibility and creativity, are generally needed to keep a scientific research operation running in an infectious disease emergency—especially where resources are scarce and the populace distressed by fear and concern for themselves and their families.
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Huo, Jiazhen, Jianjun Zhang, Axel Werwatz et Guanwei Huang. « Dynamic Optimization of Emergency Logistics for Major Epidemic Considering Demand Urgency ». Dans Advances in Planning and Operation of Relief Supply Chain in Major Public Health Emergency, 159–85. Singapore : Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2994-4_5.

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Sheng, Qinxin, Yutian Wu et Xiao Chen. « Research on Spoke-Based Emergency Logistics Network in Urban Clusters in Jiangsu Province ». Dans Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023), 331–38. Dordrecht : Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-218-7_38.

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Alexander, David. « The Logistics of Planning and Emergency Action ». Dans Natural Disasters, 374–460. Routledge, 2017. http://dx.doi.org/10.1201/9780203746080-6.

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Alexander, David. « The logistics of planning and emergency action ». Dans Natural Disasters, 374–460. Routledge, 2018. http://dx.doi.org/10.4324/9781315859149-6.

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Lo, Shih-Che. « Logistics Management for Emergency Resource Planning during Covid-19 ». Dans Global Supply Chains in a Glocal World, 223–38. WORLD SCIENTIFIC, 2022. http://dx.doi.org/10.1142/9789811237539_0010.

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Serratosa, Luis, Efraim Kramer et Mats Börjesson. « Cardiac safety at sports events : the medical action plan ». Dans The ESC Textbook of Sports Cardiology, sous la direction de Antonio Pelliccia, Hein Heidbuchel, Domenico Corrado, Mats Börjesson et Sanjay Sharma, 411–18. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779742.003.0045.

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The cardiac-specific medical services plan, in and around a sports stadium or arena, should be carefully undertaken and individualized, in order to ensure safe, effective, and coordinated management of any sudden cardiac arrest (SCA). This is ensured practically by tailoring the designated number and skills of on-duty health-care personnel and by having adequate and appropriate medical equipment, effective communication systems, and the emergency medical service transportation logistics required to initiate cardiopulmonary resuscitation (CPR) and defibrillation within the first 3–5 minutes after SCA, regardless of the size or type of sport environment. The planning should be written down in a medical action plan (MAP) which should be communicated to all relevant and appropriate officials, health-care personnel, and, where relevant, participants and spectators. Relevant contact information regarding activation of the necessary emergency medical services, listing the sport environment health-care personnel, and continuous education and skills training are vital parts of the MAP.
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McNeil, Kate, Joycelyn Soo et Myriam Henkens. « Complicating humanitarian emergencies ». Dans Infectious Disease Emergencies : Preparedness and Response, 179–92. NUS Press, 2025. http://dx.doi.org/10.56159/emergencies-15.

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Humanitarian emergencies may create conditions for infectious disease outbreaks, and outbreaks in turn can make humanitarian emergencies more difficult and complicated. This chapter reviews the humanitarian system including humanitarian principles, the humanitarian space, and significant actors in relation to how outbreaks can occur and be managed during humanitarian emergencies. Topics covered here include early warning and alert systems, water, sanitation, and hygiene (WASH) initiatives, nutrition, and vaccination. Comprehensive response to a health crisis in a humanitarian emergency or disaster setting often requires a strategic compromise between clinical and public health protocols and pragmatic considerations. Responses will usually involve strategies to cope with laboratory incapacity (e.g., rapid diagnostic tests), appropriate case management strategies, ample logistics planning, and community engagement for effective infection prevention and control.
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« Ethics and professional responsibilities ». Dans Oxford Handbook of Expedition and Wilderness Medicine, sous la direction de Shane Winser, 117–44. 3e éd. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/med/9780198867012.003.0004.

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Abstract Ethical considerations, based upon the core principles of autonomy, beneficence, non-maleficence and justice, should be an integral part of expedition planning and execution. Appropriate planning should minimize the possibility of cultural clashes, while good leadership reduces the risk of interpersonal tensions. Both human and environmental impacts should be considered. Doctors have an obligation to be appropriately trained for the tasks they will undertake, but decisions in the field can be complicated by lack of diagnostic aids and challenging logistics. All expedition members, whether recruited locally or from overseas, should receive the same medical care, but medics should be cautious about offering care to local communities. Usually, it is appropriate to offer help only in emergency situations, as other interventions may undermine local health care systems, and can leave behind problems once the expedition has ended. Expeditions have a duty of care towards those they employ and must try to interact appropriately with the local communities they encounter. Travelling abroad to work with the media, or to assist following a disaster involve specific issues which are discussed.
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Actes de conférences sur le sujet "Emergency logistics planning"

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Monahan, Colleen, Lars Ullberg et Kevin Harvey. « Virtual Emergency Preparedness Planning Using Second Life ». Dans 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics (SOLI). IEEE, 2009. http://dx.doi.org/10.1109/soli.2009.5203950.

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Ye, Yong, et Nan Liu. « A sequential approach for emergency logistics planning in natural disasters ». Dans 2011 8th International Conference on Service Systems and Service Management (ICSSSM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icsssm.2011.5959329.

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Norstad, Inge, Victoria Gribkovskaia, Trond Johnsen, Haakon-Elizabeth Lindstad et Eirik Uthaug. « Simulation-Based Evaluation of Upstream Logistics System Concepts for Offshore Operations in Remote Areas ». Dans ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61816.

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Increased competition and low oil prices coupled with promising prospects for new oil and gas (O&G) reserves in the Arctic region has led to expansion of activities into the offshore Arctic. This brings along new challenges for the offshore logistics that need to be addressed. These challenges impose more stringent requirements for the logistics system setup, especially on the design and operation of vessels. Copying the logistics system and vessels designed for the North Sea operations is not a sustainable way forward. The few existing studies related to Arctic logistics mainly focus on ship technology solutions for cold and ice infested areas or solutions to the area-specific operational challenges for shipping companies. However, there is a need to understand how these solutions are connected and impact each other in a larger offshore supply logistics system, and thus address the challenges of Arctic logistics as a whole. A methodology for quick evaluation of the feasibility and costs of the logistics system in the early stages of offshore supply planning was developed and presented in previous research [1]. It allows for testing the effects of using alternative ship designs and the overall supply fleet composition on system’s cost and performance while satisfying prospective campaign requirements. Safety standards and requirements for emergency preparedness and environmental performance are taken into account while cost effectiveness of the logistics system as a whole is the main quantifiable measure. Building on the new methodology a simulation tool for remote offshore operations has been developed and is presented in current work. Simulation models allow us to consider the dynamic and uncertain nature of variables, such as variation in weekly transport demand, weather impact on sailing times and fuel consumption, and schedule deviations. The evaluation of the performance of a logistic system is done by simulating the logistic operation over a large number of scenarios. Input parameters are weather data generated from historical observations and probability distributions for transport demand. Output from the tool are key performance indicators for: system costs, logistic robustness and emergency preparedness. The tool consists of three main components: simulation of a regular supply logistics operation, simulation of emergency situations, and visualization of the simulated operations. The proposed methodology and tool are tested on real-life cases for offshore supply planning of drilling campaigns in remote areas for one of the major international O&G operators.
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Wei, Wei, Xiwei Liu et Changjian Cheng. « Emergency response study of space launch based on Decision Network Planning ». Dans 2014 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2014. http://dx.doi.org/10.1109/soli.2014.6960740.

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Ye, Haiyan, Jin Zhang, Jiaxiang Chen et Yi Cui. « Expectation Multi-Level Planning Model and Algorithms of Transportation Decision in Emergency Logistics ». Dans Second International Conference on Transportation Engineering. Reston, VA : American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)624.

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Gribkovskaia, Victoria, Trond Johnsen, Haakon Lindstad et Eirik Uthaug. « Evaluation of Upstream Logistics System Concepts for Offshore Operations in Remote Areas ». Dans ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54941.

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As oil and gas (O&G) activities are moving north in the Arctic region new challenges for the offshore logistics have arisen. These challenges impose more stringent requirements for the logistics system setup, especially on the design and operation of vessels. We propose a methodology for quick evaluation of the feasibility and cost of the logistics system in the early stages of offshore supply planning. This methodology allows for testing the effects of using alternative ship designs and the overall supply fleet composition on system’s cost and performance while satisfying prospective campaign requirements. Safety standards and requirements for emergency preparedness and environmental performance are taken into account while cost effectiveness of the logistics system as a whole is the main quantifiable measure. The presented methodology is also very relevant for evaluation and planning of the logistics supply system for O&G activities in other areas around the world that are considered remote either due to physical distance or other characteristics that impact the complexity and cost of operations. The proposed methodology is tested on a real-life case for offshore supply planning of a drilling campaign in a remote area for one of the major international O&G operators.
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Yanity, Brian B., et Jay S. Hermanson. « Integrated Energy Resource Plan for Alaska’s Northwest Arctic Borough ». Dans ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/es2009-90335.

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Straddling the Arctic Circle on the Chukchi Sea, the Northwest Alaska Native Association (NANA) region constitutes the boundaries of the Northwest Arctic Borough (NWAB), and has a population of about 7,600 people. The high cost of energy in the NANA region is one of the leading threats to the long term sustainability and well-being of the region. As a result of complex and lengthy logistics, the region has some of the highest energy prices in the nation. In addition to the cost of fossil fuels, NANA region residents are increasingly aware of the effects of greenhouse gases on climate change and the resulting coastal erosion along the Chukchi Sea. NANA Regional Corporation, along with other regional stakeholders, has developed a regional integrated energy plan. This approach includes community specific energy options analyses, benefit-cost analyses of competing alternatives, analysis of available literature and past experiences, surveying of professional opinion, and a regional energy summit that involved multiple stakeholders. Since the mid-1990s, the NANA region has been an Alaska leader in promoting and developing renewable energy resources with wind turbine installations in Kotzebue and Selawik. Promising wind energy potential is under investigation in several more communities, and other known energy resources being studied include geothermal, small-scale hydropower, and a substantial biomass potential in the upper Kobuk River area. Also under investigation are stranded natural gas sources and even solar PV installations for some communities. Energy security in the region will be achieved by a combination of infrastructure improvement and development of appropriate energy technologies, both traditional and renewable. It is the vision of NANA region stakeholders to be 75% reliant on regionally available energy resources for heating and electric generation purposes by the year 2030, and to decrease the need for transportation fuel imported into the region by 50% by the year 2030. As part of this vision, imported fossil fuels would remain as emergency/back-up fuel only. With proper planning, a synergy can be developed between different energy sources and uses, with the composition of the optimal ‘energy-mix’ custom-tailored for each community in the NANA region. The energy planning process will be conducted with the understanding that the optimum mix may change over time.
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Bruzzone, Agostino G., Marina Massei, Kirill Sinelshchikov, Paolo Fadda, Gianfranco Fancello, Giuliano Fabbrini et Marco Gotelli. « Extended Reality, Intelligent Agents and Simulation to improve Efficiency, Safety and Security in Harbors and Port Plants ». Dans The 21st International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.hms.012.

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The paper introduces a new project devoted to develop a simulation-based solution for improving emergency planning and crisis management in critical infrastructures such as seaports and related terminal. The research aims to investigate the use of Artificial Intelligence and Simulation jointly with Extended Reality in this framework.
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