Leonardo Marrazzini

Orcid: 0000-0002-6793-7813

According to our database1, Leonardo Marrazzini authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Overall water effectiveness: A new lean indicator for digital evaluation of water efficiency in industrial processes.
J. Ind. Inf. Integr., 2026

2023
A preliminary framework to address the industrial environmental challenge.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Exploring the relationship between Project Cost Deployment and Industry 4.0 through an industrial application in an Engineer-to-Order environment.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022
Project Time Deployment: a new lean tool for losses analysis in Engineer-to-Order production environments.
Int. J. Prod. Res., 2022

2021
Risk Failure Deployment: A novel integrated tool to prioritize corrective actions in failure mode and effects analysis.
Qual. Reliab. Eng. Int., 2021

Key Performance Indicators and Industry 4.0 - A structured approach for monitoring the implementation of digital technologies.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

2020
Rolling Kanban: a new visual tool to schedule family batch manufacturing processes with kanban.
Int. J. Prod. Res., 2020

Work In Next Queue CONWIP.
Comput. Ind. Eng., 2020

2019
Lean manufacturing tool in engineer-to-order environment: Project cost deployment.
Int. J. Prod. Res., 2019

A continuous review, (<i>Q, r</i>) inventory model for a deteriorating item with random demand and positive lead time.
Comput. Oper. Res., 2019

Using RFID technology and Discrete-Events, Agent-Based simulation tools to build Digital-Twins of large warehouses.
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2019


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