Bibliografie tematiche / Shelter location under uncertainty

Letteratura scientifica selezionata sul tema "Shelter location under uncertainty"

Autore: Grafiati
Pubblicato: 15 giugno 2024

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Articoli di riviste sul tema "Shelter location under uncertainty":

1

Bayram, Vedat, e Hande Yaman. "Shelter Location and Evacuation Route Assignment Under Uncertainty: A Benders Decomposition Approach". Transportation Science 52, n. 2 (marzo 2018): 416–36. http://dx.doi.org/10.1287/trsc.2017.0762.

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Xiang, Xiaoshu, Ye Tian, Jianhua Xiao e Xingyi Zhang. "A Clustering-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Shelter Location Problem Under Uncertainty of Road Networks". IEEE Transactions on Industrial Informatics 16, n. 12 (dicembre 2020): 7544–55. http://dx.doi.org/10.1109/tii.2019.2962137.

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Celik, Erkan. "Analyzing the Shelter Site Selection Criteria for Disaster Preparedness Using Best–Worst Method under Interval Type-2 Fuzzy Sets". Sustainability 16, n. 5 (4 marzo 2024): 2127. http://dx.doi.org/10.3390/su16052127.

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Shelters are vital for affected people after a disaster because of the accommodation, safety, and security. In this paper, we analyze the shelter site selection criteria for disaster preparedness applying the best–worst method under interval type-2 fuzzy sets. The proposed approach utilizes the advantages of fewer pairwise comparisons with the best–worst method and better reflection of uncertainty with interval type-2 fuzzy sets. For this reason, the criteria are determined based on a literature review and the opinion of nine disaster experts. The experts have worked as disaster officers in a variety of locations, including Sivrice (Elazığ), Pazarcık, and Elbistan (Kahramanmaras) and Syrian refugee camps such as Nizip container city. In this step, 6 main criteria and 25 sub-criteria are evaluated using the proposed approach. According to the nine experts’ opinions, the most important main criterion is determined as proximity. Distribution center capacity, adequate distribution logistics personnel, available electricity, distance to settlement, and landslides and flooding are also determined as the five most important sub-criteria. For disaster preparedness, responsible organizations and managers should consider these important criteria for temporary shelter site selection.
4

Trivedi, Ashish, e Amol Singh. "A multi-objective approach for locating temporary shelters under damage uncertainty". International Journal of Operational Research 38, n. 1 (2020): 31. http://dx.doi.org/10.1504/ijor.2020.10027955.

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Trivedi, Ashish, e Amol Singh. "A multi-objective approach for locating temporary shelters under damage uncertainty". International Journal of Operational Research 38, n. 1 (2020): 31. http://dx.doi.org/10.1504/ijor.2020.106359.

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Galemba, Rebecca, Katie Dingeman, Kaelyn DeVries e Yvette Servin. "Paradoxes of Protection: Compassionate Repression at the Mexico–Guatemala Border". Journal on Migration and Human Security 7, n. 3 (29 luglio 2019): 62–78. http://dx.doi.org/10.1177/2331502419862239.

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Executive Summary Anti-immigrant rhetoric and constricting avenues for asylum in the United States, amid continuing high rates of poverty, environmental crisis, and violence in Guatemala, Honduras, and El Salvador, have led many migrants from these countries to remain in Mexico. Yet despite opportunities for humanitarian relief in Mexico, since the early 2000s the Mexican government, under growing pressure from the United States, has pursued enforcement-first initiatives to stem northward migration from Central America. In July 2014, Mexico introduced the Southern Border Program (SBP) with support from the United States. The SBP dramatically expanded Mexico’s immigration enforcement efforts, especially in its southern border states, leading to rising deportations. Far from reducing migration or migrant smuggling, these policies have trapped migrants for longer in Mexico, made them increasingly susceptible to crimes by a wide range of state and nonstate actors, and exacerbated risk along the entire migrant trail. In recognition of rising crimes against migrants and heeding calls from civil society to protect migrant rights, Mexico’s 2011 revision to its Migration Law expanded legal avenues for granting humanitarian protection to migrants who are victims of crimes in Mexico, including the provision of a one-year humanitarian visa so that migrants can collaborate with the prosecutor’s office in the investigation of crimes committed against them. The new humanitarian visa laws were a significant achievement and represent a victory by civil society keen on protecting migrants as they travel through Mexico. The wider atmosphere of impunity, however, alongside the Mexican government’s prioritization of detaining and deporting migrants, facilitates abuses, obscures transparent accounting of crimes, and limits access to justice. In practice, the laws are not achieving their intended outcomes. They also fail to recognize how Mexico’s securitized migration policies subject migrants to risk throughout their journeys, including at border checkpoints between Guatemala and Honduras, along critical transit corridors in Guatemala, and on the Guatemalan side of Mexico’s southern border. In this article, we examine a novel set of data from migrant shelters — 16 qualitative interviews with migrants and nine with staff and advocates in the Mexico–Guatemala border region, as well as 118 complaints of abuses committed along migrants’ journeys — informally filed by migrants at a shelter on the Guatemalan side of the border, and an additional eight complaints filed at a shelter on the Mexican side of the border. We document and analyze the nature, location, and perpetrators of these alleged abuses, using a framework of “compassionate repression” (Fassin 2012) to examine the obstacles that migrants encounter in denouncing abuses and seeking protection. We contend that while humanitarian visas can provide necessary protection for abuses committed in Mexico, they are limited by their temporary nature, by being nested within a migration system that prioritizes migrant removal, and because they recognize only crimes that occur in Mexico. The paradox between humanitarian concerns and repressive migration governance in a context of high impunity shapes institutional and practical obstacles to reporting crimes, receiving visas, and accessing justice. In this context, a variety of actors recognize that they can exploit and profit from migrants’ lack of mobility, legal vulnerability, and uncertain access to protection, leading to a commodification of access to humanitarian protection along the route.
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Ozbay, Eren, Özlem Çavuş e Bahar Y. Kara. "Shelter site location under multi-hazard scenarios". Computers & Operations Research 106 (giugno 2019): 102–18. http://dx.doi.org/10.1016/j.cor.2019.02.008.

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Bayram, Vedat, e Hande Yaman. "A stochastic programming approach for Shelter location and evacuation planning". RAIRO - Operations Research 52, n. 3 (luglio 2018): 779–805. http://dx.doi.org/10.1051/ro/2017046.

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Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values.
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Alumur, Sibel A., Stefan Nickel e Francisco Saldanha-da-Gama. "Hub location under uncertainty". Transportation Research Part B: Methodological 46, n. 4 (maggio 2012): 529–43. http://dx.doi.org/10.1016/j.trb.2011.11.006.

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Li, Anna C. Y., Linda Nozick, Ningxiong Xu e Rachel Davidson. "Shelter location and transportation planning under hurricane conditions". Transportation Research Part E: Logistics and Transportation Review 48, n. 4 (luglio 2012): 715–29. http://dx.doi.org/10.1016/j.tre.2011.12.004.

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Ti possono interessare anche gli elenchi estesi di opere sul tema "Shelter location under uncertainty":
Articoli di riviste Tesi

Tesi sul tema "Shelter location under uncertainty":

1

Resseguier, Valentin. "Mixing and fluid dynamics under location uncertainty". Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S004/document.

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Cette thèse concerne le développement, l'extension et l'application d'une formulation stochastique des équations de la mécanique des fluides introduite par Mémin (2014). La vitesse petite échelle, non-résolue, est modélisée au moyen d'un champ aléatoire décorrélé en temps. Cela modifie l'expression de la dérivée particulaire et donc les équations de la mécanique des fluides. Les modèles qui en découlent sont dénommés modèles sous incertitude de position. La thèse s'articulent autour de l'étude successive de modèles réduits, de versions stochastiques du transport et de l'advection à temps long d'un champ de traceur par une vitesse mal résolue. La POD est une méthode de réduction de dimension, pour EDP, rendue possible par l'utilisation d'observations. L'EDP régissant l'évolution de la vitesse du fluide est remplacée par un nombre fini d'EDOs couplées. Grâce à la modélisation sous incertitude de position et à de nouveaux estimateurs statistiques, nous avons dérivé et simulé des versions réduites, déterministe et aléatoire, de l'équation de Navier-Stokes. Après avoir obtenu des versions aléatoires de plusieurs modèles océaniques, nous avons montré numériquement que ces modèles permettaient de mieux prendre en compte les petites échelles des écoulements, tout en donnant accès à des estimés de bonne qualité des erreurs du modèle. Ils permettent par ailleurs de mieux rendre compte des évènements extrêmes, des bifurcations ainsi que des phénomènes physiques réalistes absents de certains modèles déterministes équivalents. Nous avons expliqué, démontré et quantifié mathématiquement l'apparition de petites échelles de traceur, lors de l'advection par une vitesse mal résolu. Cette quantification permet de fixer proprement des paramètres de la méthode d'advection Lagrangienne, de mieux le comprendre le phénomène de mélange et d'aider au paramétrage des simulations grande échelle en mécanique des fluides
This thesis develops, analyzes and demonstrates several valuable applications of randomized fluid dynamics models referred to as under location uncertainty. The velocity is decomposed between large-scale components and random time-uncorrelated small-scale components. This assumption leads to a modification of the material derivative and hence of every fluid dynamics models. Through the thesis, the mixing induced by deterministic low-resolution flows is also investigated. We first applied that decomposition to reduced order models (ROM). The fluid velocity is expressed on a finite-dimensional basis and its evolution law is projected onto each of these modes. We derive two types of ROMs of Navier-Stokes equations. A deterministic LES-like model is able to stabilize ROMs and to better analyze the influence of the residual velocity on the resolved component. The random one additionally maintains the variability of stable modes and quantifies the model errors. We derive random versions of several geophysical models. We numerically study the transport under location uncertainty through a simplified one. A single realization of our model better retrieves the small-scale tracer structures than a deterministic simulation. Furthermore, a small ensemble of simulations accurately predicts and describes the extreme events, the bifurcations as well as the amplitude and the position of the ensemble errors. Another of our derived simplified model quantifies the frontolysis and the frontogenesis in the upper ocean. This thesis also studied the mixing of tracers generated by smooth fluid flows, after a finite time. We propose a simple model to describe the stretching as well as the spatial and spectral structures of advected tracers. With a toy flow but also with satellite images, we apply our model to locally and globally describe the mixing, specify the advection time and the filter width of the Lagrangian advection method, as well as the turbulent diffusivity in numerical simulations
2

Haddad, Marcel Adonis. "Nouveaux modèles robustes et probabilistes pour la localisation d'abris dans un contexte de feux de forêt". Electronic Thesis or Diss., Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLD021.

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A cause du réchauffement climatique, le nombre et l’intensité des feux de forêts augmentent autour du globe. Dansce contexte, la construction de refuges contre le feu est une solution de plus en plus envisagée. Le problème consisteessentiellement à localiser p refuges de sorte à minimiser la distance maximale qui sépare un usager du plus procherefuge accessible en cas de feux. Le territoire considéré est divisé en zones et est modélisé comme un graphe auxarêtes pondérées. Un départ de feux sur une seule zone (c’est-à-dire sur un sommet). La principale conséquence d’unfeu est que les chemins d’évacuation sont modifiés de deux manières. Premièrement, un chemin d’évacuation ne peutpas traverser le sommet en feu. Deuxièmement, le fait qu’une personne proche de l’incendie puisse avoir un choix limitéde direction d’évacuation, ou être sous stress, est modélisé à l’aide d’une stratégie d’évacuation nouvellement définie.Cette stratégie d’évacuation induit des distances d’évacuation particulières qui rendent notre modèle spécifique. Selon letype de données considéré et l’objectif recherché, nous proposons deux problèmes avec ce modèle: le Robust p-CenterUnder Pressure et le Probabilistic p-Center Under Pressure. Nous prouvons que ces deux problèmes sont NP-difficilessur des classes de graphes pertinentes pour notre contexte. Nous proposons également des résultats d’approximationet d’inapproximation. Finalement, nous développons des algorithmes polynomiaux sur des classes de graphes simples,et nous développons des algorithmes mathématiques basés sur la programmation linéaire
The location of shelters in different areas threatened by wildfires is one of the possible ways to reduce fatalities in acontext of an increasing number of catastrophic and severe forest fires. The problem is basically to locate p sheltersminimizing the maximum distance people will have to cover to reach the closest accessible shelter in case of fire. Thelandscape is divided in zones and is modeled as an edge-weighted graph with vertices corresponding to zones andedges corresponding to direct connections between two adjacent zones. Each scenario corresponds to a fire outbreak ona single zone (i.e., on a vertex) with the main consequence of modifying evacuation paths in two ways. First, an evacuationpath cannot pass through the vertex on fire. Second, the fact that someone close to the fire may have limited choice, ormay not take rational decisions, when selecting a direction to escape is modeled using a new kind of evacuation strategy.This evacuation strategy, called Under Pressure, induces particular evacuation distances which render our model specific.We propose two problems with this model: the Robust p-Center Under Pressure problem and the Probabilistic p-CenterUnder Pressure problem. First we prove hardness results for both problems on relevant classes of graphs for our context.In addition, we propose polynomial exact algorithms on simple classes of graphs and we develop mathematical algorithmsbased on integer linear programming
3

Grannan, Benjamin. "Dispatch, Delivery, and Location Logistics for the Aeromedical Evacuation of Time-Sensitive Military Casualties Under Uncertainty". VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3536.

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Effective aeromedical evacuation of casualties is one of the most important problems in military medical systems because high-priority casualties will not survive without timely medical care. The decision making process for aeromedical evacuation consists of the following components: (1) identifying which aeromedical evacuation asset (see figure 1) to dispatch to the casualty, (2) locating aeromedical evacuation assets strategically in anticipation of incoming demand, and (3) deciding which medical treatment facility to transport the casualty. These decisions are further complicated because prioritization of casualties is based on severity of injury while aeromedical evacuation assets and medical treatment facilities operate with varying capabilities. In this dissertation, discrete optimization models are developed to examine dispatch, delivery, and location logistics for the effective aeromedical evacuation of casualties in military medical systems.
4

Kurdi, Mohammad H. "Robust multicriteria optimization of surface location error and material removal rate in high-speed milling under uncertainty". [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011626.

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5

Theodoridis, Constantinos. "Strategic retail location decision-making under uncertainty : an application of complexity theory in the Greek retailing sector". Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/652/.

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The rapid environmental changes, high levels of uncertainty and difficulty in understanding these situations, make recession a uniquely challenging time for SMEs, particularly with respect to their strategic decision-making. This is especially true for retail SMEs: at the end of the supply chain, they are dependent on consumer buying power. Strategic decision-making in retail SMEs, notably location and expansion decisions, are under-researched, though there is evidence that such decisions are subjective, more an art than a science. These two elements, strategic decision making in SMEs and the context of recession are the focus and contribution of this thesis: the aim of the research was to compile a theoretical framework to portray the emergence of retail location strategies in recession. The research is underpinned by the theoretical domains of strategic location decision-making under the umbrella of complexity theory. The research comprises two case studies of SME electrical retailers in Greece. Pre-recession, these retailers had established track records of aggressive locational expansion and so the impact of the turbulence that accompanied the Greek recession made them ideal exemplar cases for this study. The data collection comprised observation, informal conversations, key informant interviews and focus groups. A thematic analysis approach was taken to the coding, organisation and reporting of the results. The results demonstrate how strategy development is supported by emerging organisational structures, including informal and opportunistic networks that facilitate the diffusion of tacit and explicit knowledge. These networks provide a friendly and supportive environment in which decision-makers are supported in their development of project-specific schemes. Thus this research contributes to understanding the locational decision process, successful locational strategy and strategic development in periods of instability and confusion.
6

Meeyai, Sutthipong. "A Hybrid Approach for The Design of Facility Location and Supply Chain Network Under Supply and Demand Uncertainty: A Systematic Review". Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4673.

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In today’s extremely competitive marketplace, firms are facing the need to meet or exceed increasing customer expectations while cutting costs to stay competitive in a global market. To develop competitive advantage in this business climate, companies must make informed decisions regarding their supply chain. In recent years, supply chain networks have received increasing attention among companies. The decision makers confront the network design problem in different situations. In order to make decisions, especially in strategic supply chain management, decision makers must have a holistic view of all the components. Supply chain network design, particular facility location problems, is one of the most complex strategic decision problems in supply chain management The aim of this dissertation is to make an inquiry about the facility location problems and related issues in supply chain and logistics management, and the use of modelling approaches to solve these problems. The methodology is to construct a review protocol by forming a review panel, and developing a detailed search strategy with clear inclusion and exclusion criteria. In addition, the measurement for evaluating the quality of studies is presented with a strategy for extracting data and synthesising the methodologies. The search results show the background of the facility location problems, the importance and the basic questions of these problems. The taxonomy of facility location problems with eighteen factors is presented. The basic static and deterministic problems in facility location including the covering, centre, median and fixed charge problems are discussed. Also, the extension of facility location problems comprises of location-allocation, multi-objective, hierarchical, hub, undesirable and competitive problems. In terms of uncertainty, dynamic, stochastic and robust facility location problems are presented. Finally, strengths and weaknesses of different modelling approaches are discussed; importantly, gaps from the review process are indentified. Recommendations of future research are described; and the facility location problem to be addressed by the proposed research is shown. In addition, contributions of the proposed facility location problem are illustrated.
7

Ashuri, Baabak. "A Real Options Approach to Modeling Investments in Competitive, Dynamic Retail Markets". Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24608.

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The retail industry is considered to be a very competitive industry in the United States since there are so many players in the almost saturated retail markets that provide similar products and services at similar price levels to customers. Market selection has been identified as an important strategy to differentiate a retailer in this competitive market. Therefore in this thesis, we describe a conceptual framework to evaluate retailers investment opportunities in dynamic, competitive retail markets. The objective is to describe a conceptual investment analysis framework to address the strategic aspects of a retailer s investment opportunity as well as the dynamic uncertainty of a retail market in a single framework. This conceptual framework outlines a strategic view towards retail stores as flexible assets of a retail enterprise. This conceptual framework is general and can be adjusted and applied to investments options in other services. In addition, we develop an integrated investment analysis approach based on dynamic programming to explore retailers investment behaviors in dynamic markets. The objective is to determine retailers optimal investment thresholds in noncompetitive and competitive markets. We consider two retailers to illustrate our approach and use a simple game theory treatment to address competition in retail markets. We use our integrated investment analysis model based on a real options methodology to evaluate the apparent tendency for the small discount retailer invests earlier in a new developing market due to the competition effect from the large discount retailer. This early entry gives the small retail a first-mover advantage and delays the big retailer s entry into the competitive market. In addition, we conduct sensitivity analysis to characterize how significantly the values of our model parameters impact the retailers investment decisions. We also develop an integrated investment analysis approach based on contingent claims analysis to explore retailers investment behaviors in dynamic markets. The objective is to determine retailers optimal investment thresholds in noncompetitive and competitive markets. The equivalent risk neutral evaluation approach is presented in this thesis as an extended version of the contingent claims analysis approach, which facilitates the market-oriented valuation of the retailer s investment option in dynamic markets. Sensitivity analysis is conducted to study how retailers optimal investment thresholds change as the values of parameters in this equivalent risk neutral evaluation approach change. The relationship between the dynamic programming and the equivalent risk neutral evaluation approach is also summarized in this thesis to identify the similarities and the differences between these two investment analysis approaches. One of the most important objectives of this comparison is to determine in what market conditions the choice of investment analysis approach is critical and dramatically changes the retailer s optimal investment threshold. Finally, we empirically examine an important aspect of our theoretical work that the big retailer invests and opens a store relatively later in markets with a small retailer compared to markets without a small retailer. In addition, the big retailer opens a store at relatively higher retail market potential in markets with a small retailer compared to markets without a small retailer. In this thesis, we discuss some empirical evidence to support these theoretical results. We chose Wal-Mart and Dollar General as the big and small retailers, respectively, in our empirical study. Our empirical results do not validate the theory and just provide supporting evidence for our theoretical works.
8

Siddiq, Auyon. "Robust Facility Location under Demand Location Uncertainty". Thesis, 2013. http://hdl.handle.net/1807/42932.

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In this thesis, we generalize a set of facility location models within a two-stage robust optimization framework by assuming each demand is only known to lie within a continuous and bounded uncertainty region. Our approach involves discretizing each uncertainty region into a set of finite scenarios, each of which represents a potential location where the demand may be realized. We show that the gap between the optimal values of the theorized continuous uncertainty problem and our discretized model can be bounded by a function of the granularity of the discretization. We then propose a solution technique based on row-and-column generation, and compare its performance with existing solution methods. Lastly, we apply our robust location models to the problem of ambulance positioning using cardiac arrest location data from the City of Toronto, and show that hedging against demand location uncertainty may help decrease EMS response times to cardiac arrest emergencies.
9

Hajizadeh, Saffar Iman. "Problems in Supply Chain Location and Inventory under Uncertainty". Thesis, 2010. http://hdl.handle.net/1807/24764.

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We study three problems on supply chain location and inventory under uncertainty. In Chapter 2, we study the inventory purchasing and allocation problem in a movie rental chain under demand uncertainty. We formulate this problem as a newsvendor-like problem with multiple rental opportunities. We study several demand and return forecasting models based on comparable films using iterative maximum likelihood estimation and Bayesian estimation via Markov chain Monte Carlo simulation. Test results on data from a large movie rental firm reveal systematic under-buying of movies purchased through revenue sharing contracts and over-buying of movies purchased through standard ones. For the movies considered, the model estimates an increase in the average profit per title for new movies by 15.5% and 2.5% for revenue sharing and standard titles, respectively. We discuss the implications of revenue sharing on the profitability of both the rental firm and the studio. In Chapter 3, we focus on the effect of travel time uncertainty on the location of facilities that provide service within a given coverage radius on the transportation network. Three models - expected covering, robust covering and expected p-robust covering - are studied; each appropriate for different types of facilities. Exact and approximate algorithms are developed. The models are used to analyze the location of fire stations in the city of Toronto. Using real traffic data we show that the current system design is quite far from optimality and provide recommendations for improving the performance. In Chapter 4, we continue our analysis in Chapter 3 to study the trade-off between adding new facilities versus relocating some existing facilities. We consider a multi-objective problem that aims at minimizing the number of facility relocations while maximizing expected and worst case network coverage. Exact and approximate algorithms are developed to solve three variations of the problem and find expected--worst case trade-off curves for any given number of relocations. The models are used to analyze the addition of four new fire stations to the city of Toronto. Our results suggest that the benefit of adding four new stations is achievable, at a lower cost, by relocating 4-5 stations.
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Marques, Maria do Céu Lourenço. "Dynamic location problems under uncertainty: models and optimization techniques". Doctoral thesis, 2015. http://hdl.handle.net/10316/28525.

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Tese de doutoramento em Gestão, no ramo de Ciência aplicada à Decisão, apresentada à Faculdade de Economia da Universidade de Coimbra
This thesis is devoted to mathematical modelling and solution techniques for dynamic facility location problems under uncertainty. The uncertainty regarding the evolution of important problems' parameters along the planning horizon, such as setup and assignment costs, as well as level or location of demand, is explicitly incorporated into the dynamic models through a finite and discrete set of possible scenarios. In the present work we first propose a two-stage stochastic model for the uncapacitated problem. The first decisions to be made are the strategic ones, where and when to locate the facilities throughout the planning horizon. The second-stage decisions refer to the assignment of the existing customers to the open facilities over the whole planning horizon under each possible scenario. As opposite to location decisions, that must be made here and now and should be valid for all possible future scenarios, assignment can be decided after the uncertainty has been resolved and thus can be adjusted in each time period to each possible scenario. The objective is to find a solution that minimizes the expected total cost over all possible scenarios. This model is then extended to other situations, recognizing that other features should be included in the mathematical model to be able to generate other possible solutions. A set of robust constraints is incorporated into that model, that in spite of restricting the set of admissible solutions, it offers more informed and robust solutions under uncertainty. A multi-objective problem wherein each scenario gives rise to an objective is then developed, and relations with other known problems are established as well. For this latter model, requirements about scenarios probabilities or risk profiles are dropped. Within this context, it is emphasized that the Decision Maker will have a better picture of the compromises that exist among the possible scenarios. In terms of models, we conclude with several extensions considering capacitated facilities. The possibility of unmet demand appears naturally in this class of problems, giving rise to other interesting and challenging questions. We propose and discuss both mono and multi-objective approaches. We proceed with the description of the solution techniques that have been developed to tackle the uncapacitated problems. First we present a primal-dual heuristic approach inspired on classical works and a branch&bound scheme integrating this same heuristic. Afterwards, a Lagrangean relaxation approach developed to tackle the problem with robust constraints is detailed. The calculation of non-dominated solutions for the multi-objective problem is discussed and illustrated. Finally, as the models and algorithms were tested over sets of randomly generated problems, the computational experiments and results obtained are provided including comparisons with general solvers. The results of this work aim to help Decision Makers in the difficult process of decision making when dealing with location problems under uncertainty, and thus should be interpreted as decision support tools.
Esta tese versa sobre modelação matemática e algoritmos de resolução de problemas de localização dinâmica em contextos de incerteza. A incerteza acerca de como importantes parâmetros dos problemas irão evoluir ao longo do tempo, tais como custos de instalação de serviços e de afetação, localização ou nível da procura, é explicitamente incorporada nos modelos dinâmicos através de um conjunto finito e discreto de cenários. Na presente dissertação, propomos em primeiro lugar um modelo estocástico de duas fases para o problema de localização sem restrições de capacidades. As primeiras decisões a serem tomadas são as estratégicas, onde e quando localizar os serviços ao longo do horizonte temporal. As decisões de segunda fase referem-se à afetação dos clientes com procura aos serviços abertos ao longo do horizonte temporal para todos os cenários possíveis. Ao contrário das decisões de localização, tomadas no presente e válidas para todos os futuros possíveis, as decisões de afetação podem ser tomadas após a realização da incerteza e ajustadas em cada período temporal a cada cenário. O objetivo do problema é encontrar uma solução que minimize o custo total esperado para todos os cenários possíveis. Este modelo é depois alargado a outras situações, reconhecendo-se que outras características devem ser incluídas no modelo de modo a gerar outras soluções para o problema. Um conjunto de restrições de robustez é incorporado no modelo que, apesar de restringir o conjunto de soluções admissíveis, oferece soluções mais informadas e robustas em situações de incerteza. Um problema multi-objetivo em que cada cenário origina um objetivo é depois apresentado, assim como relações com outros problemas conhecidos. Requisitos acerca das probabilidades associadas aos cenários ou acerca de perfis de risco são desnecessários. É ainda sublinhado que neste contexto o Agente de Decisão terá um melhor retrato dos compromissos existentes entre os possíveis cenários. Em termos de modelos, concluímos com várias extensões considerando serviços com capacidades limitadas. A possibilidade de procura insatisfeita surge naturalmente nesta classe de problemas, dando lugar a outras interessantes e desafiantes questões. Propomos e discutimos abordagens mono e multi-objetivo. Procedemos à descrição dos algoritmos construídos para resolução dos problemas sem restrições de capacidades. Apresentamos uma heurística primal-dual inspirada em abordagens clássicas e um algoritmo branch&bound que integra aquela heurística. Uma técnica usando relaxação Lagrangeana é depois detalhada para resolução do problema com as restrições de robustez. O cálculo de soluções não dominadas para o problema multi-objetivo é discutido e ilustrado com um exemplo. Finalmente, como tanto os modelos como os algoritmos foram testados com instâncias geradas aleatoriamente, as experiências e resultados computacionais são apresentados, incluindo comparações com general solvers. Os resultados deste trabalho pretendem ajudar os Agentes de Decisão no difícil processo de decisão perante problemas de localização em contexto de incerteza, e assim devem ser interpretados como ferramentas de apoio à decisão.
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Libri sul tema "Shelter location under uncertainty":

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Saldanha-da-Gama, Francisco, e Shuming Wang. Facility Location Under Uncertainty. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-55927-3.

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Capitoli di libri sul tema "Shelter location under uncertainty":

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Correia, Isabel, e Francisco Saldanha-da-Gama. "Facility Location Under Uncertainty". In Location Science, 185–213. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32177-2_8.

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Correia, Isabel, e Francisco Saldanha da Gama. "Facility Location Under Uncertainty". In Location Science, 177–203. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13111-5_8.

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Patan, Maciej. "Sensor Location under Parametric and Location Uncertainty". In Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems, 183–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28230-0_7.

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Taherkhani, Gita, e Sibel A. Alumur. "Hub Location Models Under Uncertainty". In International Series in Operations Research & Management Science, 337–54. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32338-6_13.

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Tissot, Gilles, Étienne Mémin e Quentin Jamet. "Stochastic Compressible Navier–Stokes Equations Under Location Uncertainty". In Mathematics of Planet Earth, 293–319. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40094-0_14.

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AbstractThe aim of this paper is to provide a stochastic version under location uncertainty of the compressible Navier–Stokes equations. To that end, some clarifications of the stochastic Reynolds transport theorem are given when stochastic source terms are present in the right-hand side. We apply this conservation theorem to density, momentum and total energy in order to obtain a transport equation of the primitive variables, i.e. density, velocity and temperature. We show that performing low Mach and Boussinesq approximations to this more general set of equations allows us to recover the known incompressible stochastic Navier–Stokes equations and the stochastic Boussinesq equations, respectively. Finally, we provide some research directions of using this general set of equations in the perspective of relaxing the Boussinesq and hydrostatic assumptions for ocean modelling.
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Tucciarone, Francesco L., Etienne Mémin e Long Li. "Primitive Equations Under Location Uncertainty: Analytical Description and Model Development". In Mathematics of Planet Earth, 287–300. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_18.

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AbstractResolving numerically all the scale interactions of ocean dynamics in a high resolution realistic configuration is today far beyond reach, and only large scale representations can be afforded. In this work, we study a stochastic parameterization of the ocean primitive equations derived within the modelling under location uncertainty framework. First numerical assessments built with the NEMO core’s code are provided for a double-gyres configuration.
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Malmi, Eric, Arno Solin e Aristides Gionis. "The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty". In Machine Learning and Knowledge Discovery in Databases, 406–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23525-7_25.

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Figueroa–García, Juan Carlos, Carlos Franco e Roman Neruda. "An Optimization Model for Location-Allocation of Health Services Under Uncertainty". In Computational Intelligence Methodologies Applied to Sustainable Development Goals, 97–108. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97344-5_7.

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Dias, Joana M., e Maria do Céu Marques. "A Multiobjective Approach for a Dynamic Simple Plant Location Problem under Uncertainty". In Computational Science and Its Applications – ICCSA 2014, 60–75. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09129-7_5.

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Liu, Yang, Yun Yuan, Yi Chen, Lingxiao Ruan e Hao Pang. "A Chance Constrained Goal Programming Model for Location-Routing Problem Under Uncertainty". In LISS 2013, 105–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40660-7_15.

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Atti di convegni sul tema "Shelter location under uncertainty":

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Yardimci, Y., e J. A. Cadzow. "Direction-of-arrival estimation under sensor location uncertainty". In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319657.

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Thi, Nguyen Truong, Phan Thi Kim Phung e Tran Thi Tham. "Optimizing Warehouse Storage Location Assignment Under Demand Uncertainty". In 2020 5th International Conference on Green Technology and Sustainable Development (GTSD). IEEE, 2020. http://dx.doi.org/10.1109/gtsd50082.2020.9303113.

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Qing Ye, Jianshe Song, Zhenglei Yang e Lianfeng Wang. "Emergency vehicle location model and algorithm under uncertainty". In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences (ICEMMS). IEEE, 2011. http://dx.doi.org/10.1109/icemms.2011.6015604.

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Vitale, Christian, Panayiotis Kolios e Georgios Ellinas. "Intersection Crossing with Connected Autonomous Vehicles under Location Uncertainty". In GLOBECOM 2020 - 2020 IEEE Global Communications Conference. IEEE, 2020. http://dx.doi.org/10.1109/globecom42002.2020.9322403.

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Wu, Pengcheng, Junfei Xie e Jun Chen. "Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty". In 2020 IEEE 16th International Conference on Control & Automation (ICCA). IEEE, 2020. http://dx.doi.org/10.1109/icca51439.2020.9264542.

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Liu, Liping, e Zipeng Yi. "Robust Model for Multimodal Location of the Hazmat under Uncertainty". In 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/aiie-16.2016.5.

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Ren, Ming_ming, Chao Yang e Bo He. "An Integrated Model and Algorithm for Facility Location under Uncertainty". In Third International Conference on Natural Computation (ICNC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icnc.2007.228.

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Aanonsen, S. I., A. L. Eide, L. Holden e J. O. Aasen. "Optimizing Reservoir Performance Under Uncertainty with Application to Well Location". In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/30710-ms.

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Zhai, Junda, e Guangquan Lu. "Uncertainty Estimation of Location Information under Vehicle-Vehicle Cooperative Control". In 18th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.007.

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Ranasinghe, Champika, Nicholas Schiestel e Christian Kray. "Visualising Location Uncertainty to Support Navigation under Degraded GPS Signals". In MobileHCI '19: 21st International Conference on Human-Computer Interaction with Mobile Devices and Services. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3338286.3340128.

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Rapporti di organizzazioni sul tema "Shelter location under uncertainty":

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Xepapadeas, Anastasios. Environmental Policy and Firm Behavior: Abatement Investment and Location Decisions Under Uncertainty and Irreversibility. Cambridge, MA: National Bureau of Economic Research, agosto 1999. http://dx.doi.org/10.3386/t0243.

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Kingston, A. W., A. Mort, C. Deblonde e O H Ardakani. Hydrogen sulfide (H2S) distribution in the Triassic Montney Formation of the Western Canadian Sedimentary Basin. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329797.

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Abstract (sommario):
The Montney Formation is a highly productive hydrocarbon reservoir with significant reserves of hydrocarbon gases and liquids making it of great economic importance to Canada. However, high concentrations of hydrogen sulfide (H2S) have been encountered during exploration and development that have detrimental effects on environmental, health, and economics of production. H2S is a highly toxic and corrosive gas and therefore it is essential to understand the distribution of H2S within the basin in order to enhance identification of areas with a high risk of encountering elevated H2S concentrations in order to mitigate against potential negative impacts. Gas composition data from Montney wells is routinely collected by operators for submission to provincial regulators and is publicly available. We have combined data from Alberta (AB) and British Columbia (BC) to create a basin-wide database of Montney H2S concentrations. We then used an iterative quality control and quality assurance process to produce a dataset that best represents gas composition in reservoir fluids. This included: 1) designating gas source formation based on directional surveys using a newly developed basin-wide 3D model incorporating AGS's Montney model of Alberta with a model in BC, which removes errors associated with reported formations; 2) removed injection and disposal wells; 3) assessed wells with the 50 highest H2S concentrations to determine if gas composition data is accurate and reflective of reservoir fluid chemistry; and 4) evaluated spatially isolated extreme values to ensure data accuracy and prevent isolated highs from negatively impacting data interpolation. The resulting dataset was then used to calculate statistics for each x, y location to input into the interpolation process. Three interpolations were constructed based on the associated phase classification: H2S in gas, H2S in liquid (C7+), and aqueous H2S. We used Empirical Bayesian Kriging interpolation to generate H2S distribution maps along with a series of model uncertainty maps. These interpolations illustrate that H2S is heterogeneously distributed across the Montney basin. In general, higher concentrations are found in AB compared with BC with the highest concentrations in the Grande Prairie region along with several other isolated region in the southeastern portion of the basin. The interpolations of H2S associated with different phases show broad similarities. Future mapping research will focus on subdividing intra-Montney sub-members plus under- and overlying strata to further our understanding of the role migration plays in H2S distribution within the Montney basin.
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Liu e Nixon. L52305 Probabilistic Analysis of Pipeline Uplift Resistance. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), giugno 2010. http://dx.doi.org/10.55274/r0000002.

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To investigate the feasibility of probabilistic analyses of the peak uplift resistance in frozen soils by varying parameters that are known to be important for the development of the uplift resistance under the upward movement of a pipe. A buried pipeline will be subjected to a variety of forces, both internal and external, including the interaction of the pipe with the surrounding soil. The soil-pipe interaction in permafrost regions have to account for the behavior of frozen and unfrozen soil, and transitions between the two as the pipeline traverses in a discontinuous permafrost zone. The variations in the properties and behavior of frozen soils are expected to be substantial in three dimensions of the Right-of-Way (ROW) and with time (seasonal fluctuations and changes with the history of pipeline operation). Given the uncertainties with frozen soil properties and the changes in behavior with time and location, a large variation in soil-pipe interaction characteristics can exist. The uplift resistance of a pipeline is one of these soil-pipe interactions that can be impacted by a variation in soil condition and state. A need was identified to outline the use of a probabilistic analysis of pipe uplift resistance in an attempt to capture the magnitude of these variations and uncertainties of frozen soil and the impact on the soil-pipe interaction. The probabilistic analysis allows the designer of a pipeline to consider a range of uplift resistance to a certain confidence level that would represent the likely values that a pipe may be subjected to. The work presented in this report is more focused on the methodology of the probabilistic approach, rather than the analysis itself for a specific design case, even though an example is provided for illustration purposes. A series of numerical simulations using Fast Lagrangian Analysis of Continua (FLAC) were completed varying one parameter with each run to develop a library of peak uplift resistances for a variety of different temperatures, soil properties and pipe parameters. The FLAC model was previously developed for PRC, a summary of this report is provided here to outline important parameters that were used to complete this analysis. The simulations were used to develop a correlation of peak uplift resistance as a function of soil tensile strain limit, modulus of deformation, and creep of frozen soils. Each of these parameters is dependent of the pipeline conditions such as temperature, displacement rate, and effective frozen cover depth. It is noted that the scope of the work was to develop a probabilistic method of estimating peak uplift resistance in frozen soils. Even though some sensitivity analysis were carried out, as outlined later in this report, to assess the impacts of the variable, detailed uncertainty analysis or risk assessment were not performed.

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