1. Longo F., Nicoletti L., Padovano A., d’Atri G., Forte M., 2019. Blockchain-enabled supply chain: An experimental study. Computers and Industrial Engineering. 136, pg. 57 – 69

2. Vignali G., Bottani E., Guareschi N., Donato L.D., Ferraro A., Pirozzi M., Tomassini L., Longo F., 2019. Development of a 4.0 industry application for increasing occupational safety: Guidelines for a correct approach. Proceedings – 2019 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2019

3. Longo F., Nicoletti L., Padovano A., 2019. Emergency preparedness in industrial plants: A forward-looking solution based on industry 4.0 enabling technologies. Computers in Industry. 105, pg. 99 – 122

4. Longo F., 2019. Sustainability in logistic hubs: A decision support system for investigating green practices at container terminals. International Journal of Simulation and Process Modelling. 14, pg. 234 – 250

5. Longo F., Nicoletti L., Padovano A., 2019. Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises’ performance. Annual Reviews in Control. 47, pg. 221 – 236

6. Longo F., Nicoletti L., Padovano A., 2019. A system for supply chains diversification and (re)design: Supporting managers’ perspective in the face of uncertainty. International Journal of Logistics Systems and Management. 32, pg. 168 – 194

7. Longo F., Nicoletti L., Padovano A., 2019. Modeling workers’ behavior: A human factors taxonomy and a fuzzy analysis in the case of industrial accidents. International Journal of Industrial Ergonomics. 69, pg. 29 – 47

8. Frascio M., Cortese K., Longo F., Sinelshchikov K., 2019. Multidisciplinary development of a simulation of industrial plant disasters designed for improving safety through training and new procedures. International Journal of Simulation and Process Modelling. 14, pg. 279 – 293

9. Mensah P., Merkuryev Y., Pecerska J., Longo F., 2019. Analysing uncertainties and their impacts on deliveries of a logging company: Simulation model to foster supply chain resilience. International Journal of Simulation and Process Modelling. 14, pg. 251 – 260

10. Longo F., Nicoletti L., Padovano A., Bruzzone A., Mirabelli G., Solis A., Fusto C., Frangella J., Gazzaneo, L., 2019. Improving data consistency in industry 4.0: An application of digital lean to the maintenance record process, 31st European Modeling and Simulation Symposium, pg. 384-389

11. Solis A.O., Nosedal-Sánchez J., Asgary A., Longo F., Rizzi D., Plested K., Briga A., Castagna A., Zaccaro B., 2019. Agent-based simulation of a fire department’s response to emergency incidents: An updated model, 9th International Defense and Homeland Security Simulation Workshop, pg. 39-46

12. Bruzzone A.G., Massei M., Sinelshchikov K., Longo F., Agresta M., Di Donato L., Di Francesco C., 2019, Wearable mixed reality solutions for industrial plants and production lines, 18th International Conference on Modeling and Applied Simulation, pg. 181-185

13. Vignali G., Guareschi N., Tebaldi L., Longo L., Di Donato L., Ferraro A., Bottani E., 2019, A testing procedure of a digital application for safety improvement in a beverage plant, 5th International Food Operations and Processing Simulation Workshop, pg. 9-15

14. Mensah P., Merkuryev Y., Pecherka J., Longo F., 2019, Conceptual model of supply chain in risky environment: Case study, 21st International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, pg. 28-34

15. Nicoletti L., Padovano A., Human factors in occupational health and safety 4.0: A cross-sectional correlation study of workload, stress and outcomes of an industrial emergency response, 2019, International Journal of Simulation and Process Modelling. 14, pg. 178-195


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