| A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics M Woschank, E Rauch, H Zsifkovits Sustainability 12 (9), 3760, 2020 | 255 | 2020 |
| Industry 4.0 for SMEs: Challenges, opportunities and requirements DT Matt, V Modrák, H Zsifkovits Springer Nature, 2020 | 248 | 2020 |
| A maturity level-based assessment tool to enhance the implementation of industry 4.0 in small and medium-sized enterprises E Rauch, M Unterhofer, RA Rojas, L Gualtieri, M Woschank, DT Matt Sustainability 12 (9), 3559, 2020 | 115 | 2020 |
| A framework of measures to mitigate greenhouse gas emissions in freight transport: systematic literature review from a Manufacturer's perspective P Miklautsch, M Woschank Journal of Cleaner Production 366, 132883, 2022 | 57 | 2022 |
| Requirement analysis for the design of smart logistics in SMEs P Dallasega, M Woschank, H Zsifkovits, K Tippayawong, CA Brown Industry 4.0 for SMEs: Challenges, opportunities and requirements, 147-162, 2020 | 50 | 2020 |
| Reference architecture for an integrated and synergetic use of digital tools in education 4.0 T Goldin, E Rauch, C Pacher, M Woschank Procedia Computer Science 200, 407-417, 2022 | 47 | 2022 |
| Field study to identify requirements for smart logistics of European, US and Asian SMEs P Dallasega, M Woschank, S Ramingwong, KY Tippayawong, ... Proceedings of the International Conference on Industrial Engineering and …, 2019 | 43 | 2019 |
| State of the art and future directions of digital twins for production logistics: a systematic literature review A Kaiblinger, M Woschank Applied Sciences 12 (2), 669, 2022 | 41 | 2022 |
| Smart Logistics—Technology Concepts and Potentials H Zsifkovits, M Woschank BHM Berg-und Hüttenmännische Monatshefte 164, 42-45, 2019 | 39 | 2019 |
| Industry 4.0—Awareness in South India L Safar, J Sopko, D Dancakova, M Woschank Sustainability 12 (8), 3207, 2020 | 37 | 2020 |
| Organizational innovation implications for manufacturing SMEs: Findings from an empirical study I Baumane-Vītoliņa, M Woschank, M Apsalone, Ē Šumilo, C Pacher Procedia computer science 200, 738-747, 2022 | 32 | 2022 |
| Teaching and learning methods in the context of industrial logistics engineering education M Woschank, C Pacher Procedia Manufacturing 51, 1709-1716, 2020 | 32 | 2020 |
| Requirement analysis for SMART supply chain management for SMEs P Chaopaisarn, M Woschank Proceedings of the International Conference on Industrial Engineering and …, 2019 | 28 | 2019 |
| Digitalization in industrial logistics: Contemporary evidence and future directions M Woschank, A Kaiblinger, P Miklautsch Proceedings of the International Conference on Industrial Engineering and …, 2021 | 26 | 2021 |
| A holistic didactical approach for industrial logistics engineering education in the LOGILAB at the Montanuniversitaet Leoben M Woschank, C Pacher Procedia Manufacturing 51, 1814-1818, 2020 | 25 | 2020 |
| A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability (Switzerland), 12 (9) M Woschank, E Rauch, H Zsifkovits | 24 | 2020 |
| Big data in the metal processing value chain: a systematic digitalization approach under special consideration of standardization and SMEs M Sorger, BJ Ralph, K Hartl, M Woschank, M Stockinger Applied Sciences 11 (19), 9021, 2021 | 22 | 2021 |
| Evidence-based redesign of engineering education lectures: Theoretical framework and preliminary empirical evidence BJ Ralph, M Woschank, C Pacher, M Murphy European Journal of Engineering Education 47 (4), 636-663, 2022 | 18 | 2022 |
| Implementing Industry 4.0 in SMEs: Concepts, Examples and Applications DT Matt, V Modrák, H Zsifkovits Springer Nature, 2021 | 18 | 2021 |
| Logistics 4.0 measurement model: empirical validation based on an international survey P Dallasega, M Woschank, J Sarkis, KY Tippayawong Industrial management & data systems 122 (5), 1384-1409, 2022 | 17 | 2022 |
Helmut ZsifkovitsProfessor of Industrial Logistics, Montanuniversität Leoben在 unileoben.ac.at 的电子邮件经过验证
