Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 61(8), P. 2402 - 2415

Published: March 14, 2023

The COVID-19 pandemic has triggered new research areas in supply chain resilience. One of these is viability. Viability extends the resilience understanding from performance-based assessment firm’s responses to disruptions towards survivability both chains and associated ecosystems not only during some short-term but also under conditions long-term crises. To explore state-of-the-art knowledge on methods, models, capabilities, technologies viability, we edited this important IJPR special issue. introduce issue, review existing literature conceptualise seven major pillars viability theory (i.e. viable design, process planning control, ripple effect, intertwined reconfigurable networks, ecosystems, digital chain, Industry 5.0), establish future directions. findings editorial paper, as well articles can be used by researchers practitioners alike consolidate recent advances practices networks lay solid foundation for further developments area.

Language: Английский

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Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 177, P. 103249 - 103249

Published: Aug. 1, 2023

Language: Английский

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The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 120, P. 105903 - 105903

Published: Jan. 25, 2023

Language: Английский

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Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Feb. 16, 2024

A key advantage of social media is the real-time exchange views with large communities. In disaster situations, such bidirectional information most useful to victims and support teams, especially in communications authorities, volunteers, public. This paper addresses challenges faced by healthcare supply chain during COVID-19 pandemic analyses Twitter data using an Artificial Intelligence-driven multi-step approach. We investigate tweets for about chains, as scarcity testing kits, oxygen cylinders, hospital beds pandemic. deployed machine learning classify into imperative non-imperative categories based on need severity. The study sought predict location requesting help their if geo-tag was missing. proposed approach used four steps: (1) keyword-based informative tweet search, (2) raw pre-processing, (3) content analysis identify trends, public sentiment, topics related challenges, crisis classification label tweets, (4) locating point-of-crisis from facilitate coordination operations. pre-processing trend analysis, sentiment relied natural language processing topic modelling (K-mean clustering), (random forest), detection (Markov chain). Results demonstrate potential capture significant, timely, actionable respond quickly appropriately a

Language: Английский

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Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 184, P. 103494 - 103494

Published: March 21, 2024

Language: Английский

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Survivability of Supply Chains in the Era of Industry 4.0

Global Journal of Flexible Systems Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

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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Supply chain network viability: Managing disruption risk via dynamic data and interaction models

Omega, Journal Year: 2025, Volume and Issue: unknown, P. 103303 - 103303

Published: Feb. 1, 2025

Language: Английский

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Supply Chain Viability by Integrating R-imperatives, Product Development, and Design Decisions: A Stochastic Programming Framework

Omega, Journal Year: 2025, Volume and Issue: unknown, P. 103317 - 103317

Published: March 1, 2025

Language: Английский

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A Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements

RAIRO - Operations Research, Journal Year: 2024, Volume and Issue: 58(2), P. 1473 - 1497

Published: Jan. 11, 2024

This research suggests a Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements (RRMWCNDV). The aim is to locate waste management facility that minimizes promotes the recycling of materials like metal plastic, contributing environmental benefits. proposed RRMWCNDV aims be viable, robust risk-averse. A two-stage stochastic programming model was utilized develop this framework. It incorporates risk employing Weighted Value at Risk (WVaR) approach for first time. study reveals incorporating robustness scenarios results in lower cost function. degree conservatism decision-making can adjusted between 0% 100%, increasing confidence level WVaR indicates aversion, with an increase function 4% increase. agility coefficient, which percentage demand production from HC transferred another facility, also affects population risk. decrease sustainability coefficient 53% rise 12.82% demonstrates NP-hard characteristics becomes exponentially complex larger scales.

Language: Английский

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