Risk management of the vaccine supply chain: Interactions of risk factors and control strategies

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: 98, P. 102153 - 102153

Published: Jan. 6, 2025

Language: Английский

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Resilient and sustainable semiconductor supply chain network design under trade credit and uncertainty of supply and demand

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 274, P. 109318 - 109318

Published: June 22, 2024

Language: Английский

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Optimizing vaccine logistics: a taxonomy and narrative review

INFOR Information Systems and Operational Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 42

Published: Feb. 20, 2025

Language: Английский

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Data-driven robust optimization for a sustainable steel supply chain network design: Toward the circular economy

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 195, P. 110408 - 110408

Published: July 20, 2024

Language: Английский

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Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 135, P. 108837 - 108837

Published: June 17, 2024

Language: Английский

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Pandemic Triggered Emergency Supply Chain Management Innovations: A Scientometric Analysis Based on Bibliometrics and Dynamic Topic Models

Disaster Medicine and Public Health Preparedness, Journal Year: 2025, Volume and Issue: 19

Published: Jan. 1, 2025

Abstract Objective The outbreak of major epidemics, such as COVID-19, has had a significant impact on supply chains. This study aimed to explore knowledge innovation in the field emergency chain during pandemics with systematic quantitative analysis. Methods Based Web Science (WOS) Core Collection, proposing 3-stage analysis framework, and utilizing bibliometrics, Dynamic Topic Models (DTM), regression comprehensively examine innovations triggered by pandemics. Results A total 888 literature were obtained from WOS database. There was surge number publications recent years, indicating new research Pandemic Triggered Emergency Supply Chain (PTESC) is gradually forming. Through analysis, this identifies base distribution hotspots predicts future trends mainly boil down 3 aspects: pandemic-triggered key industries, management, technologies. Conclusions COVID-19 strengthened academic exchange cooperation promoted output field. provides an in-depth perspective helps researchers understand overall landscape field, identifying directions.

Language: Английский

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A hybrid risk management framework for resilient medical supply chain design in the post-pandemic era

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144854 - 144854

Published: Jan. 1, 2025

Language: Английский

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A multi-objective robust optimization model with defective vaccine and reverse supply chain under uncertainty

Journal of Modelling in Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Purpose This study introduces a multi-vaccine multi-echelon supply chain (MVMS) framework designed to ensure sustainable vaccine distribution during outbreaks. The aims minimize the total costs of and reduce greenhouse gas (GHG) emissions mitigate environmental impacts while maximizing job opportunities within network. Design/methodology/approach Our proposed appraoch employs multi-objective mixed-integer linear programming model. Findings findings indicate that incorporating uncertainties related demand inspection errors significantly facilitates timely responses unexpected shortages, fulfills requirements healthcare facilities, enhances chain’s resilience against future uncertainties. also explores managerial implications suggests avenues for research further advance this field. Originality/value Existing literature on MVMS often relies simplifying assumptions perfect vaccines primarily focuses uncertainty. However, real-world chains are typically marked by imperfections, disruptions, variety beyond demand. In work, we address several sources parameter uncertainty, including variability, errors, waste, defective treatments rates enhance robustness our

Language: Английский

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Designing a resilient reverse network to manage the infectious healthcare waste under uncertainty: A stochastic optimization approach

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 194, P. 110390 - 110390

Published: July 14, 2024

The global expansion of healthcare facilities has resulted in increased levels infectious-hazardous waste, posing serious threats to the environment and public health. Existing waste management systems can become overwhelmed during health crises, such as epidemics or natural disasters, exacerbating problem. This study formulates a mixed-integer linear programming model for developing resilient infectious reverse network outbreak COVID-19 pandemic. Health crisis are unpredictable nature it is almost impossible predict their exact behavior. Therefore, this paper, uncertainty ambiguous parameters considered using scenario-oriented approach. To make proposed resilient, three strategies, including establishing new collection centers, overtime, cooperation with third-party logistics, introduced. results derived from running developed GAMS software case data showed that active center cannot serve alone, more strategy should be selected. findings validate model's utility designing crisis, emphasizing importance resilience networks.

Language: Английский

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Designing a new sustainable healthcare network considering the COVID-19 pandemic: Artificial intelligence-based solutions

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125357 - 125357

Published: Sept. 1, 2024

Language: Английский

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