| A fuzzy-QFD approach to supplier selection M Bevilacqua, FE Ciarapica, G Giacchetta Journal of Purchasing and Supply Management 12 (1), 14-27, 2006 | 597 | 2006 |
| Business process reengineering of a supply chain and a traceability system: A case study M Bevilacqua, FE Ciarapica, G Giacchetta Journal of Food Engineering 93 (1), 13-22, 2009 | 225 | 2009 |
| Digital twin reference model development to prevent operators’ risk in process plants M Bevilacqua, E Bottani, FE Ciarapica, F Costantino, L Di Donato, ... Sustainability 12 (3), 1088, 2020 | 214 | 2020 |
| Development of risk-based inspection and maintenance procedures for an oil refinery M Bertolini, M Bevilacqua, FE Ciarapica, G Giacchetta Journal of loss prevention in the process industries 22 (2), 244-253, 2009 | 209 | 2009 |
| Lean practices implementation and their relationships with operational responsiveness and company performance: an Italian study M Bevilacqua, FE Ciarapica, I De Sanctis International Journal of Production Research 55 (3), 769-794, 2017 | 204 | 2017 |
| Development of a sustainable product lifecycle in manufacturing firms: a case study M Bevilacqua, FE Ciarapica, G Giacchetta International Journal of Production Research 45 (18-19), 4073-4098, 2007 | 186 | 2007 |
| Environmental analysis of a cotton yarn supply chain M Bevilacqua, FE Ciarapica, G Mazzuto, C Paciarotti Journal of Cleaner Production 82, 154-165, 2014 | 158 | 2014 |
| Critical chain and risk analysis applied to high-risk industry maintenance: A case study M Bevilacqua, FE Ciarapica, G Giacchetta International Journal of Project Management 27 (4), 419-432, 2009 | 155 | 2009 |
| The impact of Operations and IT-related Industry 4.0 key technologies on organizational resilience G Marcucci, S Antomarioni, FE Ciarapica, M Bevilacqua Production Planning & Control 33 (15), 1417-1431, 2022 | 146 | 2022 |
| Business process re‐engineering in healthcare management: a case study M Bertolini, M Bevilacqua, FE Ciarapica, G Giacchetta Business Process Management Journal 17 (1), 42-66, 2011 | 138 | 2011 |
| A Changeover Time Reduction through an integration of lean practices: a case study from pharmaceutical sector M Bevilacqua, FE Ciarapica, I De Sanctis, G Mazzuto, C Paciarotti Assembly Automation 35 (1), 22-34, 2015 | 127 | 2015 |
| Implementing lean information management: the case study of an automotive company M Bevilacqua, FE Ciarapica, C Paciarotti Production Planning & Control 26 (10), 753-768, 2015 | 117 | 2015 |
| Human factor risk management in the process industry: A case study M Bevilacqua, FE Ciarapica Reliability Engineering & System Safety 169, 149-159, 2018 | 108 | 2018 |
| Classification and prediction of occupational injury risk using soft computing techniques: An Italian study FE Ciarapica, G Giacchetta Safety science 47 (1), 36-49, 2009 | 107 | 2009 |
| Development and test of a new fuzzy-QFD approach for characterizing customers rating of extra virgin olive oil M Bevilacqua, FE Ciarapica, B Marchetti Food Quality and Preference 24 (1), 75-84, 2012 | 103 | 2012 |
| Design for Environment as a Tool for the Development of a Sustainable Supply Chain M Bevilacqua, FE Ciarapica, G Giacchetta Springer Science & Business Media, 2012 | 100* | 2012 |
| A carbon footprint analysis in the textile supply chain M Bevilacqua, FE Ciarapica, G Giacchetta, B Marchetti International Journal of Sustainable Engineering 4 (01), 24-36, 2011 | 100 | 2011 |
| Managing the condition-based maintenance of a combined-cycle power plant: an approach using soft computing techniques FE Ciarapica, G Giacchetta Journal of Loss Prevention in the Process Industries 19 (4), 316-325, 2006 | 88 | 2006 |
| Industrial and occupational ergonomics in the petrochemical process industry: A regression trees approach M Bevilacqua, FE Ciarapica, G Giacchetta Accident Analysis & Prevention 40 (4), 1468-1479, 2008 | 76 | 2008 |
| Fuzzy cognitive maps approach for analysing the domino effect of factors affecting supply chain resilience: a fashion industry case study M Bevilacqua, FE Ciarapica, G Marcucci, G Mazzuto International Journal of Production Research 58 (20), 6370-6398, 2020 | 66 | 2020 |
