Enhancing innovativeness and performance of the manufacturing supply chain through datafication: The role of resilience

Author:

Tian Shuang,Wu Lin,Pia Ciano Maria,Ardolino MarcoORCID,Pawar Kulwant S.

Funder

Ningbo Municipal Science and Technology Innovative Research Team

Science and Technology Innovation 2025 Major Project of Ningbo

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference197 articles.

1. Machine scheduling problems in production: A tertiary study;Abedinnia;Computers & Industrial Engineering,2017

2. Agrawal, M., Eloot, K., Mancini, M., & Patel, A. (2020). Industry 4.0: Reimagining manufacturing operations after COVID-19.McKinsey, Retrieved from https://www. mckinsey. com/business-functions/operations/our-insights/industry-40-reimagining-manufacturing-operations-after-covid-19,29, 2020.

3. Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective;Ahmed;Computers & Industrial Engineering,2023

4. Smart logistics with IoT-based enterprise management system using global manufacturing;Alsudani;Journal of Combinatorial Optimization,2023

5. The impact of using digital technologies on supply chain resilience and robustness: The role of memory under the covid-19 outbreak;Alvarenga;Supply Chain Management: An International Journal,2023

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