| Energy management in production: A novel method to develop key performance indicators for improving energy efficiency G May, I Barletta, B Stahl, M Taisch Applied energy 149, 46-61, 2015 | 290 | 2015 |
| Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research F Psarommatis, G May, PA Dreyfus, D Kiritsis International journal of production research 58 (1), 1-17, 2020 | 289 | 2020 |
| Energy management in manufacturing: From literature review to a conceptual framework G May, B Stahl, M Taisch, D Kiritsis Journal of cleaner production 167, 1464-1489, 2017 | 256 | 2017 |
| Multi-objective genetic algorithm for energy-efficient job shop scheduling G May, B Stahl, M Taisch, V Prabhu International Journal of Production Research 53 (23), 7071-7089, 2015 | 239 | 2015 |
| Energy management in manufacturing: Toward eco-factories of the future–A focus group study G May, B Stahl, M Taisch Applied Energy 164, 628-638, 2016 | 139 | 2016 |
| Product quality improvement policies in Industry 4.0: characteristics, enabling factors, barriers, and evolution toward Zero Defect Manufacturing F Psarommatis, S Prouvost, G May, D Kiritsis Frontiers in Computer Science 2 (26), 6-20, 2021 | 109 | 2021 |
| The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes G May, B Stahl International Journal of Production Research 55 (15), 4450-4465, 2017 | 71 | 2017 |
| A literature review and design methodology for digital twins in the era of zero defect manufacturing F Psarommatis, G May International Journal of Production Research 61 (16), 5723-5743, 2023 | 66 | 2023 |
| Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework PA Dreyfus, F Psarommatis, G May, D Kiritsis International Journal of Production Research 60 (2), 742-765, 2022 | 64 | 2022 |
| A new human-centric factory model G May, M Taisch, A Bettoni, O Maghazei, A Matarazzo, B Stahl Procedia CIRP 26, 103-108, 2015 | 64 | 2015 |
| A hybrid machine learning approach for predictive maintenance in smart factories of the future S Cho, G May, I Tourkogiorgis, R Perez, O Lazaro, B de La Maza, ... Advances in Production Management Systems. Smart Manufacturing for Industry …, 2018 | 50 | 2018 |
| Energy related key performance indicators–state of the art, gaps and industrial needs G May, M Taisch, VV Prabhu, I Barletta Advances in Production Management Systems. Sustainable Production and …, 2013 | 49 | 2013 |
| Zero defect manufacturing strategies and platform for smart factories of industry 4.0 G May, D Kiritsis Proceedings of the 4th International Conference on the Industry 4.0 Model …, 2019 | 38 | 2019 |
| Assessment of sustainable practices in new product development G May, M Taisch, E Kerga Advances in Production Management Systems. Value Networks: Innovation …, 2012 | 37 | 2012 |
| The significance of corporate social disclosure for high‐tech manufacturing companies: Focus on employee and community aspects of sustainable development E Lawal, G May, B Stahl Corporate Social Responsibility and Environmental Management 24 (4), 295-311, 2017 | 31 | 2017 |
| Toward energy efficient manufacturing: a study on practices and viewpoint of the industry G May, M Taisch, B Stahl, V Sadr Advances in Production Management Systems. Competitive Manufacturing for …, 2013 | 31 | 2013 |
| A semantic-driven approach for industry 4.0 S Cho, G May, D Kiritsis 2019 15th international conference on distributed computing in sensor …, 2019 | 28 | 2019 |
| Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework F Psarommatis, G May, V Azamfirei Journal of Manufacturing Systems 68, 376-399, 2023 | 27 | 2023 |
| Sustainability assessment tools–state of research and gap analysis M Taisch, V Sadr, G May, B Stahl Advances in Production Management Systems. Sustainable Production and …, 2013 | 23 | 2013 |
| Sustainability in manufacturing strategy deployment M Taisch, B Stahl, G May Procedia CIRP 26, 635-640, 2015 | 21 | 2015 |
Marco TaischProfessor, Politecnico di MilanoVerified email at polimi.it
