alberto regattieri

About alberto regattieri

alberto regattieri, With an exceptional h-index of 37 and a recent h-index of 28 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Operations, Industrial Logistics, Humanitarian logistics, Design of production systems, Maintenance.

His recent articles reflect a diverse array of research interests and contributions to the field:

A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers

A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments

A Data Model for Predictive Supply Chain Risk Management

A two-step methodology for product platform design and assessment in high-variety manufacturing

Statistical management and modeling for demand spare parts

Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks

Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios

Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics

alberto regattieri Information

University

Position

Department of Industrial Engineering -

Citations(all)

5369

Citations(since 2020)

2678

Cited By

3825

hIndex(all)

37

hIndex(since 2020)

28

i10Index(all)

82

i10Index(since 2020)

61

Email

University Profile Page

Google Scholar

alberto regattieri Skills & Research Interests

Operations

Industrial Logistics

Humanitarian logistics

Design of production systems

Maintenance

Top articles of alberto regattieri

Title

Journal

Author(s)

Publication Date

A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers

Computers & Industrial Engineering

Matteo Gabellini

Francesca Calabrese

Alberto Regattieri

Dominic Loske

Matthias Klumpp

2024/4/23

A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments

Matteo Gabellini

Francesca Calabrese

Lorenzo Civolani

Alberto Regattieri

Cristina Mora

2023/9/18

A Data Model for Predictive Supply Chain Risk Management

Matteo Gabellini

Lorenzo Civolani

Alberto Regattieri

Francesca Calabrese

2023/6/20

A two-step methodology for product platform design and assessment in high-variety manufacturing

The International Journal of Advanced Manufacturing Technology

Marco Bortolini

Francesca Calabrese

Francesco Gabriele Galizia

Alberto Regattieri

2023/6

Statistical management and modeling for demand spare parts

Emilio Ferrari

Arrigo Pareschi

Alberto Regattieri

Alessandro Persona

2023/4/21

Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks

F Calabrese

A Regattieri

M Gabellini

A Caporale

P Epifania

2023

Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios

Francesca Calabrese

Alberto Regattieri

Marco Bortolini

Francesco Gabriele Galizia

2022/9/14

Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics

Cao Truong Tran

Mengjie Zhang

Peter Andreae

Bing Xue

2017/7/1

Assembly line balancing and activity scheduling for customised products manufacturing

The International Journal of Advanced Manufacturing Technology

Francesco Pilati

Giovanni Lelli

Alberto Regattieri

Emilio Ferrari

2022/5

Semi-Automatic Rapid Upper Limb Assessment (RULA) with Azure Kinect of assembly and disassembly tasks, and the related learning curve

... SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS

AM Coruzzolo

S Rossini

F Lolli

R Gamberini

A Regattieri

2022

Fault diagnosis in industries: How to improve the health assessment of rotating machinery

Francesca Calabrese

Alberto Regattieri

Marco Bortolini

Francesco Gabriele Galizia

2021/9/15

Data-driven predictive maintenance in evolving environments: A comparison between machine learning and deep learning for novelty detection

Francesco Del Buono

Francesca Calabrese

Andrea Baraldi

Matteo Paganelli

Alberto Regattieri

2021/9/15

Real Time Locating System for a Learning Cross-Docking Warehouse

Proceedings of the Conference on Learning Factories (CLF)

Andrea Sbaragli

Francesco Pilati

Alberto Regattieri

Yuval Cohen

2021/6/7

Predictive maintenance: A novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries

Applied Sciences

Francesca Calabrese

Alberto Regattieri

Marco Bortolini

Mauro Gamberi

Francesco Pilati

2021/4/9

An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints

Journal of manufacturing systems

Marco Bortolini

Emilio Ferrari

Francesco Gabriele Galizia

Alberto Regattieri

2021/1/1

Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery

Applied Sciences

Francesca Calabrese

Alberto Regattieri

Marco Bortolini

Francesco Gabriele Galizia

Lorenzo Visentini

2021/10/14

From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study

... SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS

F Calabrese

E Ferrari

G Lelli

A Regattieri

2020

Bi-objective design and management of reconfigurable manufacturing systems to optimize technical and ergonomic performances

Applied Sciences

Marco Bortolini

Lucia Botti

Francesco Gabriele Galizia

Alberto Regattieri

2020/12/29

Assembly line balancing for personalized production

IFAC-PapersOnLine

Francesco Pilati

Giovanni Lelli

Maurizio Faccio

Mauro Gamberi

Alberto Regattieri

2020/1/1

Intelligent management of hybrid energy systems for techno-economic performances maximisation

Energy conversion and management

Francesco Pilati

Giovanni Lelli

Alberto Regattieri

Mauro Gamberi

2020/11/15

See List of Professors in alberto regattieri University(Università degli Studi di Bologna)