Made in Italy and the global supply chain: winning strategy or unavoidable loss of know-how?

The global supply chain is a network of interconnected processes that create, use, and exchange records, but which were not designed to interact with one another. As such, the key to unlocking the full potential of supply chain management (SCM) technologies is achieving interoperability across participating records systems and networks. We review existing research and solutions using distributed ledger technology (DLT) and provide a survey of its current state of practice. We additionally propose a holistic solution: a DLT-based interoperable future state that could enable the interoperable, efficient, reliable, and secure exchange of records with integrity. Finally, we provide a gap analysis between our proposed future state and the current state, which also serves as a gap analysis for many fractional DLT-based SCM solutions and research.

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A stochastic model for developing speculation-postponement strategies and modularization concepts in the global supply chain with demand uncertainty

Computers & Industrial Engineering ◽

10.1016/j.cie.2021.107392 ◽

2021 ◽

pp. 107392

Author(s):

Syarif Daniel Budiman ◽

Hsin Rau

Keyword(s):

Supply Chain ◽

Stochastic Model ◽

Demand Uncertainty ◽

Global Supply Chain ◽

Postponement Strategies

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Mathematical model of the feedback between global supply chain disruption and COVID-19 dynamics

Scientific Reports ◽

10.1038/s41598-021-94619-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Xingyu Li ◽

Amin Ghadami ◽

John M. Drake ◽

Pejman Rohani ◽

Bogdan I. Epureanu

Keyword(s):

Mathematical Model ◽

Supply Chain ◽

Care Delivery ◽

Global Supply Chain ◽

Economic Losses ◽

Chain Model ◽

Supply Chain Disruption ◽

Disease Networks ◽

Resource Allocation Strategy ◽

The Impact

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.

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