Human resource strategies for resilient supply chains in logistics and transportation: A critical review

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 12(1), P. 082 - 102

Published: May 5, 2024

This study systematically reviews and analyzes the literature on Human Resource Management (HRM) strategies for enhancing supply chain resilience in logistics transportation sector, identifying pivotal role HRM plays fortifying chains against disruptions. Utilizing a systematic review content analysis, this research examines articles from peer-reviewed journals, focusing publications 2004 onwards to capture contemporary practices their impact resilience. The methodology involves detailed search strategy across multiple databases, employing specific inclusion exclusion criteria ensure relevance quality of reviewed. Key findings reveal that workforce agility, technological integration practices, leadership development, cultivation resilient organizational culture are essential components effective context. These elements collectively contribute chains, enabling organizations maintain operational continuity during Based these insights, proposes strategic recommendations industry leaders policymakers, emphasizing importance investing employee adopting technology-enhanced fostering ethical sustainable HR support Concluding, highlights need further research, particularly empirical studies examine direct performance. underscores critical resilience, offering roadmap future efforts sector.

Language: Английский

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Promoting high health, safety, and environmental standards during subsea operations

World Journal of Biology Pharmacy and Health Sciences, Journal Year: 2024, Volume and Issue: 18(2), P. 192 - 203

Published: May 15, 2024

Subsea operations play a vital role in various industries, including oil and gas, renewable energy, telecommunications. However, these come with inherent risks to human lives, the environment, operational integrity. This abstract presents comprehensive approach promoting high health, safety, environmental (HSE) standards during subsea operations. The importance of adhering HSE cannot be overstated, as they serve safeguard against potential accidents, damage, reputational harm. paper outlines regulatory framework industry governing operations, emphasizing necessity compliance consequences non-compliance. Risk assessment management are essential components ensuring safety Strategies for identifying, assessing, mitigating discussed, alongside continuous improvement through training competency development. Furthermore, technology innovation crucial enhancing efficiency From remote monitoring systems autonomous vehicles, advancements offer new opportunities minimize improve performance. Collaboration among stakeholders, players, government agencies, research institutions, is driving progress standards. Effective communication information sharing facilitate exchange best practices lessons learned, fostering culture improvement. In conclusion, prioritizing paramount sustainable responsible By embracing collaboration, innovation, improvement, stakeholders can collectively ensure personnel, protect uphold integrity

Language: Английский

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Leveraging machine learning for vaccine distribution in resource-limited settings: A synthesis of approaches

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(5), P. 544 - 557

Published: May 5, 2024

Vaccine distribution in resource-limited settings remains a crucial global health challenge, exacerbated by factors such as inadequate infrastructure, limited resources, and complex supply chains. Leveraging machine learning (ML) holds promise for optimizing efficiency ensuring equitable access to life-saving vaccines. This paper synthesizes various ML approaches aimed at addressing vaccine challenges resource-constrained environments. The literature review examines existing research on applications healthcare distribution, highlighting key findings methodologies. Methodologically, criteria were established selecting relevant studies, with focus techniques their effectiveness contexts. Key identified include predictive analytics demand forecasting, route optimization algorithms efficient delivery, decision support systems prioritizing efforts. Case studies illustrate successful implementations real-world settings, showcasing improved coverage reduced wastage. Despite promising results, persist, including data scarcity, model generalization, ethical considerations. Future directions enhancing collection methods, refining specific contexts, integrating solutions into systems. In conclusion, this synthesis underscores the transformative potential of revolutionizing settings. By logistical barriers resource allocation, ML-driven offer pathway towards achieving universal immunization mitigating impact infectious diseases vulnerable populations. Keywords: Machine Learning, Distribution, Resource-Limited Settings, Synthesis Approaches.

Language: Английский

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Environmental data in epidemic forecasting: Insights from predictive analytics

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(5), P. 1113 - 1125

Published: May 5, 2024

Epidemic forecasting plays a critical role in public health preparedness and response, enabling proactive measures to mitigate the impact of infectious diseases. Environmental data, encompassing factors such as temperature, humidity, air quality, geographical features, holds valuable insights for predicting identifying areas prone epidemics. This paper explores integration predictive analytics with environmental data enhance epidemic capabilities. By leveraging techniques, researchers officials can analyze identify regions at higher risk experiencing outbreaks. Through statistical modeling, machine learning algorithms, computational simulations, utilize indicators forecast likelihood spread For example, high temperatures humidity may be conducive mosquito-borne diseases, while poor quality experience increased rates respiratory infections. Case studies highlight application various contexts, including diseases tropical tracking infections urban quality. Early warning systems, informed by provide timely alerts potential threats, interventions resource allocation. While into offers significant benefits, challenges remain, availability, ethical considerations. Continued research collaboration are essential address these further effectiveness mitigating risks. In conclusion, this underscores importance forecasting, emphasizing their improve outcomes efforts face emerging climate change. Keywords: Data, Forecasting, Predictive Analytics.

Language: Английский

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