A multi-period vaccines supply chain network design with capacity expansion and different replenishment cycles under uncertain demand

Computers & Operations Research, Journal Year: 2024, Volume and Issue: 167, P. 106660 - 106660

Published: April 9, 2024

Language: Английский

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Modelling health mobility for equity distribution services in the emergency health sector

The Annals of Regional Science, Journal Year: 2025, Volume and Issue: 74(2)

Published: April 8, 2025

Language: Английский

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The Architecture of Public Buildings as a Transformative Model Toward Health and Sustainability

International Journal of Environmental Research and Public Health, Journal Year: 2025, Volume and Issue: 22(5), P. 736 - 736

Published: May 7, 2025

Public buildings are crucial to creating healthy and sustainable cities. These promote social cohesion enrich urban life by transforming existing facilities into hybrid models that integrate medical content. Historical developments highlight shifts in residential, economic, healthcare infrastructure. The system aims enhance public health while ensuring financial equity. Reforms privatization, governed insurance policies, involve liberalizing service provision supported the Ministry of Health Finance. This study examines how can adapt sustainability. Through case studies, it assesses architectural adaptability analyzing spatial, impacts. Diagrams illustrate spatial dynamics, surveys compare efficiency, sustainability, user experience. Statistical analysis highlights role fostering environments. results, which express significant differences between means for different locations citizens’ satisfaction, suggest hypothesis offers substantial results every area. Besides commercial programs buildings, also gives satisfactory results. advocates adaptive architecture as a key strategy, aligning with evolving societal demands. Hybridizing spaces transforms shopping centers models, enhancing economic viability.

Language: Английский

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An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries

Biology, Journal Year: 2023, Volume and Issue: 12(6), P. 887 - 887

Published: June 20, 2023

This research provides a detailed analysis of the COVID-19 spread across 14 Latin American countries. Using time-series and epidemic models, we identify diverse outbreak patterns, which seem not to be influenced by geographical location or country size, suggesting influence other determining factors. Our study uncovers significant discrepancies between number recorded cases real epidemiological situation, emphasizing crucial need for accurate data handling continuous surveillance in managing epidemics. The absence clear correlation size confirmed cases, as well with fatalities, further underscores multifaceted influences on impact beyond population size. Despite decreased real-time reproduction indicating quarantine effectiveness most countries, note resurgence infection rates upon resumption daily activities. These insights spotlight challenge balancing public health measures economic social core findings provide novel insights, applicable guiding control strategies informing decision-making processes combatting pandemic.

Language: Английский

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COVID-19 Genome Sequence Analysis for New Variant Prediction and Generation

Mathematics, Journal Year: 2022, Volume and Issue: 10(22), P. 4267 - 4267

Published: Nov. 15, 2022

The new COVID-19 variants of concern are causing more infections and spreading much faster than their predecessors. Recent cases show that even vaccinated people highly affected by these variants. proactive nucleotide sequence prediction possible developing better healthcare plans to address spread require a unified framework for variant classification early prediction. This paper attempts answer the following research questions: can convolutional neural network with self-attention extracting discriminative features from sequences be used classify variants? Second, is it employ uncertainty calculation in predicted probability distribution predict Finally, synthetic approaches such as variational autoencoder-decoder networks employed generate random noise? Experimental results generated significantly similar original coronavirus its variants, proving our learn mutation patterns old Moreover, knowledge, we first collect data all computational analysis. proposed extensively evaluated classification, prediction, generation tasks achieves performance tasks. Our code, data, trained models available on GitHub (https://github.com/Aminullah6264/COVID19, accessed 16 September 2022).

Language: Английский

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Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil

Mathematics, Journal Year: 2024, Volume and Issue: 12(13), P. 1961 - 1961

Published: June 25, 2024

Developing efficient energy conservation and strategies is relevant in the context of climate change rising demands. The objective this study to model predict electrical power consumption patterns Brazilian households, considering thresholds for use. Our methodology utilizes advanced machine learning methods, such as agglomerative hierarchical clustering, k-means self-organizing maps, identify patterns. Gradient boosting, chosen its robustness accuracy, used a benchmark evaluate performance these methods. reveals from perspectives both users providers, assessing corresponding effectiveness according stakeholder needs. Consequently, provides comprehensive empirical framework that supports strategic decision making management consumption. findings demonstrate clustering outperforms other offering more precise classification This finding aids development targeted policies enhances resource strategies. present research shows applicability analytical methods specific contexts, showing their potential shape future practices.

Language: Английский

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Modeling Inventory Cost Savings and Supply Chain Success Factors: A Hybrid Robust Compromise Multi-Criteria Approach

Mathematics, Journal Year: 2022, Volume and Issue: 10(16), P. 2911 - 2911

Published: Aug. 12, 2022

Determining success factors for managing supply chains is a relevant aspect companies. Then, modeling the relationship between inventory cost savings and chain route stating such determination. This particularly important in pharmacies food nutrition services (FNS), where advances made on this topic are still scarce. In article, we propose formulate robust compromise (RoCo) multi-criteria model based non-linear programming time-dependent demand. The novelty of our proposal defining score that allows us to measure mentioned simple way, meeting together all three elements (RoCo multi-criteria, programming, demand) state new model, applying it FNS. relates pharmacy/FNS across their chains. Savings costs predicted by lot sizes be purchased computed comparing optimal true costs. We utilize system records movements products collect data. Factors, as purchasing organization, economies scale, synchronized supply, assumed using purchase system, with these ranked Likert scale. consider multilevel relationships obtained 79 products, factor scores according products. To deal endogeneity bias proposed, internal instrumental variables employed utilizing generalized statistical moments. Among main conclusions, greatest from models directly associated low-success factors. association, operate endogenous variables, respect savings, given simultaneity when decision-making.

Language: Английский

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A Methodology for Consolidation Effects of Inventory Management with Serially Dependent Random Demand

Processes, Journal Year: 2023, Volume and Issue: 11(7), P. 2008 - 2008

Published: July 5, 2023

Most studies of inventory consolidation effects assume time-independent random demand. In this article, we consider time-dependence by incorporating an autoregressive moving average structure to model the demand for products. With modeling approach, analyze effect on costs compared a system without consolidation. We formulate setting based continuous-review using allocation rules regular transshipment and centralization, which establishes temporal structures Numerical simulations demonstrate that, under time-dependence, conditional variance, past data, is less than marginal variance. This finding favors dedicated locations replenishment. Additionally, reduce maintaining safety stocks through transshipments when such patterns exist. The obtained results are illustrated with example real-world data. Our investigation provides information managing supply chains in presence time-patterned demands that can be interest decision-makers chain.

Language: Английский

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Statistical characterization of vaccinated cases and deaths due to COVID-19: methodology and case study in South America

AIMS Mathematics, Journal Year: 2023, Volume and Issue: 8(10), P. 22693 - 22713

Published: Jan. 1, 2023

<abstract><p>Many studies have been performed in different regions of the world as a result COVID-19 pandemic. In this work, we perform statistical study related to number vaccinated cases and deaths due ten South American countries. Our objective is group countries according aforementioned variables. Once groups are built, they characterized based on common properties same differences between that groups. Countries grouped using principal component analysis K-means analysis. These methods combined single procedure propose for classification Regarding both variables, were classified into three Political decisions, availability resources, bargaining power with suppliers health infrastructure among others some factors can affect vaccination process timely care infected people avoid death. general, acted manner relation their citizens exception two deaths, all reached peaks at point period.</p></abstract>

Language: Английский

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Developing a Sustainable Development Goal 3 (SDG3) Index for Italian Municipalities

Published: April 18, 2024

Since the establishment of SDGs, related progress at a national level has usually been measured using province as smallest geographical aggregation. To cope with this gap, we aimed to develop methodology for SDG3 index calculation Italian municipalities. Official data 2018–2022 were collected cover 11 13 targets that mapped 29 unique indicators: 10 computed municipal level, while remaining 19 lower granularity was applied. The index, calculated by weighting equally, ranged from 0 1, higher values corresponding better goal fulfilment. applied municipalities in Lombardy region, where spanned 0.538 0.769. SDG indices contribute 2030 Agenda achievements country more attention should be paid details assessment through policy information and local benchmarking.

Language: Английский

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