Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

Socio-Economic Planning Sciences, Journal Year: 2023, Volume and Issue: 87, P. 101602 - 101602

Published: April 18, 2023

As an abrupt epidemic occurs, healthcare systems are shocked by the surge in number of susceptible patients' demands, and decision-makers mostly rely on their frame reference for urgent decision-making. Many reports have declared COVID-19 impediments to trading global economic growth. This study aims provide a mathematical model support pharmaceutical supply chain planning during epidemic. Additionally, it offer new insights into hospital problems unifying cold non-cold chains considering wide range pharmaceuticals vaccines. approach is unprecedented includes analysis various features such as temperature, shelf life, priority, clustering. To propose chains, mixed-integer linear programming (MILP) used four-echelon design. minimize costs involved maintaining acceptable service level. Also, this paper considers uncertainty intrinsic part problem addresses through wait-and-see method. Furthermore, unexplored unsupervised learning method realm has been cluster vaccines its merits drawbacks proposed. A case Tehran hospitals with real data show model's capabilities, well. Based obtained results, proposed able reach optimum level COVID conditions while reduced cost. The experiment illustrates that hospitals' adjacency emergency orders alleviated significantly. MILP proven be efficient providing practical intuition decision-makers. clustering technique size time required solve considerably.

Language: Английский

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An optimization-based methodology equipped with lean tools to strengthen medical supply chain resilience during a pandemic: A case study from Turkey

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 173, P. 103089 - 103089

Published: March 16, 2023

Language: Английский

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How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 262, P. 108915 - 108915

Published: May 20, 2023

This paper provides empirical evidence on the impact of Covid-19 pandemic logistics and supply chain processes five industrial sectors Italy, namely food & beverage, machine manufacturing, metal mechanical industry, transport, textile fashion. A questionnaire survey, with 82 useful responses, was conducted to investigate various effects these businesses, such as volumes handled service performance in immediate-, short- medium-term, countermeasures implemented by companies future decision-making strategies. The period analysis spans from January 2020 June 2021. Results show that varied across sectors: beverage transport were poorly affected experienced a general increase demand volumes, while or fashion industries mostly decrease demand. positive/negative impacts particularly evident at beginning pandemics, but, depending sector, could cease quite quickly last short-term. adopted against emergency differ again sectors; general, industry fields impacted have applied more countermeasures. Typical strategies for risk management (e.g., diversification modes stock increase) turned out be immediate plan few only. Differences also observed about sourcing already use, counteract pandemics expected maintained time. Empirical outcomes offered are help researchers gain deep understanding related phenomena, thus inspiring further research activities.

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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Evaluating risk in perishable-food manufacturing and logistics services from the view of human-AI synergy

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Jan. 21, 2025

Language: Английский

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Are emerging technologies unlocking the potential of sustainable practices in the context of a net-zero economy? An analysis of driving forces

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: unknown

Published: March 18, 2023

Language: Английский

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A new multi-objective decision-making method with diversified weights and Pythagorean fuzzy rough sets

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 182, P. 109406 - 109406

Published: June 26, 2023

Language: Английский

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A supply chain risk assessment index for small and medium enterprises in post COVID-19 era

Supply Chain Analytics, Journal Year: 2023, Volume and Issue: 3, P. 100023 - 100023

Published: June 25, 2023

Supply chain networks worldwide were disrupted substantially during covid-19 pandemic. More specifically, the supply for Small and Medium Enterprises (SMEs) exposed to various risks more significantly than large organizations after era due these disruptions limited resources. This study uses fuzzy set theory present a conceptual framework comprehensive risk assessment in SMEs uncertain times. A case illustrates efficacy of proposed post-covid-19 developing country. The evaluates overall index based on seven Chain Risk (SCR) factors 42 associated attributes. In addition, twenty SCR attributes are identified as main obstacles according their index.

Language: Английский

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The Impact of the COVID-19 Pandemic on Global Freight Movement and Logistics

Transportation research procedia, Journal Year: 2025, Volume and Issue: 82, P. 3604 - 3627

Published: Jan. 1, 2025

Language: Английский

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Tackling food waste: The role of food suppliers’ investment in preservation technology and government intervention

International Journal of Production Economics, Journal Year: 2025, Volume and Issue: unknown, P. 109542 - 109542

Published: Jan. 1, 2025

Language: Английский

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