All Outputs (5)

Enhancing innovativeness and performance of the manufacturing supply chain through datafication: the role of resilience (2023)
Journal Article
Tian, S., Wu, L., Pia Ciano, M., Ardolino, M., & Pawar, K. S. (2024). Enhancing innovativeness and performance of the manufacturing supply chain through datafication: the role of resilience. Computers and Industrial Engineering, 188, Article 109841. https://doi.org/10.1016/j.cie.2023.109841

The Covid-19 pandemic has extremely affected the manufacturing supply chain (SC) highlighting the need to deploy dynamic capabilities (DCs) such as supply chain resilience (SCRes) that enable companies to react rapidly and exploit intangible assets t... Read More about Enhancing innovativeness and performance of the manufacturing supply chain through datafication: the role of resilience.

Artificial Intelligence in Supply Chain and Operations Management: A Multiple Case Study Research (2023)
Journal Article
Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2023). Artificial Intelligence in Supply Chain and Operations Management: A Multiple Case Study Research. International Journal of Production Research, https://doi.org/10.1080/00207543.2023.2232050

Artificial intelligence (AI) is increasingly considered a source of competitive advantage in operations and supply chain management (OSCM). However, many organisations still struggle to adopt it successfully and empirical studies providing clear indi... Read More about Artificial Intelligence in Supply Chain and Operations Management: A Multiple Case Study Research.

Linking data science to lean production: a model to support lean practices (2021)
Journal Article
Pozzi, R., Cannas, V., & Ciano, M. (2021). Linking data science to lean production: a model to support lean practices. International Journal of Production Research, 1-22. https://doi.org/10.1080/00207543.2021.1946192

The literature discusses data science (DS) as a very promising set of techniques and tools to support lean production (LP) practices. DS could aid manufacturing companies in transforming massive real-time data into meaningful knowledge, increasing pr... Read More about Linking data science to lean production: a model to support lean practices.

Digital twin-enabled smart industrial systems: a bibliometric review (2020)
Journal Article
Ciano, M. P., Pozzi, R., Rossi, T., & Strozzi, F. (2021). Digital twin-enabled smart industrial systems: a bibliometric review. International Journal of Computer Integrated Manufacturing, 34(7-8), 690-708. https://doi.org/10.1080/0951192X.2020.1852600

The aim of this study is to investigate the body of literature on digital twins, exploring, in particular, their role in enabling smart industrial systems. This review adopts a dynamic and quantitative bibliometric method including works citations, k... Read More about Digital twin-enabled smart industrial systems: a bibliometric review.

One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study (2020)
Journal Article
Ciano, M. P., Dallasega, P., Orzes, G., & Rossi, T. (2021). One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study. International Journal of Production Research, 59(5), 1386-1410. https://doi.org/10.1080/00207543.2020.1821119

Production research literature and industry practice have started to pay increasing attention to the Industry 4.0 (I4.0) phenomenon. Scholars and practitioners identified a strong link between this paradigm and the well-known Lean Production (LP) par... Read More about One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study.