A multi-objective framework for the identification and optimisation of factors affecting cybersecurity in the Industry 4.0 supply chain
| Year of publication: |
2023
|
|---|---|
| Authors: | Shukla, Mayank ; Sarmah, S. P. ; Tiwari, Manoj Kumar |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 61.2023, 15, p. 5266-5281
|
| Subject: | cybersecurity | epsilon constraint | Industry 4.0 supply chain | Multi-objective | natural language processing | Lieferkette | Supply chain | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Datensicherheit | Data security | Lieferantenmanagement | Supplier relationship management |
-
Two-stage hybrid model for supplier selection and order allocation considering cyber risk
Zhang, Yueran, (2023)
-
The importance of cybersecurity disclosures in customer relationships
Nelson, Aaron, (2024)
-
A multi-objective integrated approach to address sustainability in a meat supply chain
Najafi, Mehdi, (2024)
- More ...
-
Modeling traceability in food supply chain
Dash, Aishwarya, (2023)
-
Dash, Aishwarya, (2024)
-
Sarkar, Puja, (2025)
- More ...