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Giovanni Mummolo
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2020 – today
- 2023
- [c7]Giovanni Mummolo
, Jim Browne, Asbjørn Rolstadås:
Industrial Engineering Education for Industry 4.0. APMS (2) 2023: 333-346 - [c6]Andrea Lucchese
A Stochastic-Based Model to Assess the Variability of Task Completion Times of Differently Aged and Experienced Workers Subject to Fatigue. APMS (1) 2023: 745-759 - 2022
- [j3]Daniela Cavallo, Salvatore Digiesi, Francesco Facchini, Giovanni Mummolo:
An information-based model to assess human cognitive capacity and information processing speed of operators in Industry 4.0. Int. J. Simul. Process. Model. 18(2): 101-111 (2022) - [j2]Andrea Lucchese, Francesco Facchini, Giorgio Mossa, Giovanni Mummolo, Francesco Paolo Sisto:
A numerical assessment of the influence of Industry 4.0 technologies on the cognitive complexity of procedure-guided tasks. Int. J. Simul. Process. Model. 18(2): 112-123 (2022) - 2020
- [c5]Daniela Cavallo, Salvatore Digiesi, Francesco Facchini
An analytical framework for assessing cognitive capacity and processing speed of operators in industry 4.0. ISM 2020: 318-327
2010 – 2019
- 2019
- [j1]Athos Paulo Tadeu Pacchini
The degree of readiness for the implementation of Industry 4.0. Comput. Ind. 113 (2019) - 2017
- [c4]Francesco Boenzi, Salvatore Digiesi, Francesco Facchini, Giovanni Mummolo
Electric and LPG forklifts GHG assessment in material handling activities in actual operational conditions. SOLI 2017: 127-132 - [c3]Salvatore Digiesi, Maria Pia Fanti, Giovanni Mummolo
Externalities reduction strategies in last mile logistics: A review. SOLI 2017: 248-253 - 2013
- [c2]Salvatore Digiesi
A Sustainable Order Quantity Model under Uncertain Product Demand. MIM 2013: 664-669 - [c1]Vincenzo Alessio Romano, Francesco Boenzi, Salvatore Digiesi
Optimal Break and Job Rotation Schedules of High Repetitive - Low Load Manual Tasks in Assembly Lines: An OCRA - Based Approach. MIM 2013: 1896-1901
Coauthor Index
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