Settore Impianti industriali meccanici

Area di ricerca: Area 09 - Ingegneria I ndustriale

Settore: ING IND17 - Impianti industriali meccanici

Ricercatori:
Fabio Fruggiero

Linee di ricerca:Il settore degli Impianti Industriali Meccanici (ING-IND/17) si occupa, principalmente, dei metodi per la progettazione e la gestione dei fattori di produzione in contesti industriali . Vengono investigate e sperimentate le problematiche connesse allo Human Factor in sistemi di produzioni. Vengono analizzati i sistemi e gli approcci di lavorazione cooperativa Uomo-Macchina. Vengono studiati ed analizzati: i criteri di ottimizzazione in ambito Supply Chain Management (beni e servizi); gli strumenti per la modellazione e simulazione dei processi di produzione; le soluzioni di economia circolare; gli elementi per progettazione e gestione (in ambito qualità e tempi e costi) per sistemi Manufacturing e Re-Manufacturing; le soluzioni e gli approcci per la predizione delle strategie di manutenzione in ambito produttivo.

Elenco delle pubblicazioni degli ultimi 5 anni

Conference Contributions

2016 - Fruggiero, F., Riemma, S., Ouazene, Y., Macchiaroli, R., Guglielmi, V. Incorporating the Human Factor within Manufacturing Dynamics. IFAC-PapersOnLine 49 (12), pp. 1691-1696 8th IFAC conference on Manufacturing Modelling, Management & control June 28^th-30^th in Troyes- France
2017 Fruggiero, F., Fera, M., Lambiase, A., Maresca, P., Caja, J.The role of human fatigue in the uncertainty of measurement Procedia Manufacturing 13, pp. 1320-1327 - 7th Manufacturing Engineering Society International Conference - JUNE 28th – 30 th 2017 Vigo (Spain).
2018 Fruggiero F., Fera, M., Iannone, R., Lambiase, A. (2018) Revealing a frame to incorporate safe human behaviour in assembly processes. IFAC-PapersOnLine Volume 51, Issue 11, 1 January 2018, Pages 661-668
2019 Fruggiero, F., Fera, M., Lambiase, A., Miranda, S. What Human Act in Robotic Surgery IEEE International Conference on Industrial Engineering and Engineering Management Volume 2019-December, 9 January 2019, Article number 8607706, Pages 1035-1040.
2019 Fruggiero F., Lambiase A., Bonito R., Fera M., The load of sustainability for Additive Manufacturing Processes. 8th Manufacturing Engineering Society International Conference, MESIC 2019, 19-21 June 2019, Madrid, Spain, PROCEDIA MANUFACTURING, Volume 14, Pages 375-382.
2019 Fruggiero F., Fera M., Lambiase A., Di Pasquale V. Linking Human Factors to Assess Human Reliability. In: Ferraguti F., Villani V., Sabattini L., Bonfè M. (eds) Human-Friendly Robotics 2019. HFR 2019. Springer Proceedings in Advanced Robotics, vol 12. Springer, Cham
2020 Fruggiero F., Lambiase A., Panagou S., Sabattini L., Cognitive Modelling in Collaborative Robotics, Procedia Manufacturing, 2020, 51, pp. 584–591
2021 Fruggiero F., Panagou S., Lambiase A., The Sustainable Role of Human Factor in I4.0 Scenarios, Procedia Computer Science, 2021, 180, pp. 1013–1023
2021 Fruggiero F., Panagou, S., Neumann, W.P., Lambiase, A. The Entropic Complexity of Human Factor in Collaborative Technologies, Lecture Notes in Networks and Systems, 221 LNNS, pp. 503–510
2021 Fruggiero F., Rinaldi M., Caterino M. Manco P., Lmabiase A., Human Fatigue Evaluation during Smart Working Sessions, Macromolecular Symposia, 2021, 396(1), 2000311

Journal Contribution

2016 Fruggiero F. Fera, M., Iannone, R., Lambiase, A., “Work control in balanced DRC systems supported by negotiation procedures between autonomous agents”, pubblicato in IFAC-Papers Online Vol.48 (3), pp. 733-740
2016 Fruggiero F., M. Fera, A. Lambiase, R. Macchiaroli, “State of the art of additive manufacturing: Review for tolerances, mechanical resistance and production costs”, pubblicato in COGENT ENGINEERING Vol. 3 (1), 1261503
2016 Fruggiero F., Fera, M., Lambiase, A., Macchiaroli, R., "State of the art of additive manufacturing: Review for tolerances, mechanical resistance and production costs", pubblicato in COGENT ENGINEERING Vol. 3 (1), pp. 1261503
2017 Fruggiero F., Costabile, G., Fera, M., , Lambiase, A., Pham, D., “Cost models of additive manufacturing: A literature review”, pubblicato in INTERNATIONAL JOURNAL OF INDUSTRIAL COMPUTATIONS, Vol. 8 (2), pp. 263-282
2017 Fruggiero F., Fera, M., Lambiase, A., Macchiaroli, R., Miranda, S., “The role of uncertainty in supply chains under dynamic modeling”, pubblicato in INTERNATIONAL JOURNAL OF INDUSTRIAL COMPUTATIONS, Vol. 8 (1), pp. 119-140
2017 Fruggiero F. , Fera, M; Macchiaroli, R.; Lambiase, A. Risks prioritization in decision making for wind energy investments using analytic network process (ANP). pp.2567-2573. In INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH - ISSN:0973-4562 vol. 12 (10)
2017. Fruggiero F. , Fera, M.; Macchiaroli, R.; Lambiase, A.; Miranda, S. Application of a business process model (BPM) method for a warehouse RFID system implementation. DOI:10.3233/RFT-170166. pp.57-77. In INTERNATIONAL JOURNAL OF RF TECHNOLOGIES: RESEARCH AND APPLICATIONS - ISSN:1754-5730 vol. 8 (1-2)
2017. Fruggiero F. , Di Pasquale, V.; Iannone, R.; Miranda, S. A model for break scheduling assessment in manufacturing systems. DOI:10.1016/j.cie.2017.05.017. In COMPUTERS & INDUSTRIAL ENGINEERING - ISSN:0360-8352
2017. Fruggiero F. , Fera, M; Costabile, G.; Lambiase, A.; Pham, D.T A new mixed production cost allocation model for additive manufacturing (MiProCAMAM). DOI:10.1007/s00170-017-0492-x. pp.1-17. In INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY - ISSN:0268-3768
2017 Fruggiero F. , Yuce, B., Packianather, M.S., Pgham, D.T., Mastrocinque, E. , Lambiase, A., Fera, M.Hybrid Genetic Bees Algorithm applied to single machine scheduling with earliness and tardiness penalties COMPUTERS & INDUSTRIAL ENGINEERING, Vol.113, pp 842-858 DOI 10.1016/j.cie.2017.07.018
2017. Fruggiero F., Fera, M., Macchiaroli, R., Lambiase, A., A new perspective for production process analysis using additive manufacturing—complexity vs production volume. In INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY . in press DOI 10.1007/s00170-017-1221-1. eISSN 1433-3015
2018 Fruggiero F. , Fera, M., Macchiaroli, R., Lambiase, A., (2018) A new perspective for production process analysis using additive manufacturing—complexity vs production volume. In INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY. Volume 95, Pages 673–685 (2018). https://doi.org/10.1007/s00170-017-1221-1
2018 Fruggiero F. , Lambiase, A., Macchiaroli, R., Todisco, V.(2018) A modified genetic algorithm for time and cost optimization of an additive manufacturing single-machine scheduling. International Journal of Industrial Engineering Computations Volume 9, Issue 4, October 2018, Pages 423-438
2020 Fruggiero F. , Di Pasquale V., Iannone R., A numerical approach for inventory pre-positioning in emergency management, JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN, Volume 10, Issue 2, March 2020, Pages 205-230.
2020 Fruggiero F. , Fera M., Macchiaroli R., Lambiase A., A modified Tabu Search algorithm for single machine scheduling problem using additive manufacturing technology, International Journal of Industrial Engineering Computations, Volume 11, Issue 3, Pages 401-414
2021 Fruggiero F. , Nacchia M., Lambiase A., Bruton K., A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector, Applied Sciences (Switzerland), 2021, 11(6), 2546.