| Improved root cause analysis supporting resilient production systems A Ito, M Hagström, J Bokrantz, A Skoogh, M Nawcki, K Gandhi, D Bergsjö, ... Journal of Manufacturing Systems 64, 468-478, 2022 | 62 | 2022 |
| Challenges Building a Data Value Chain to Enable Data-Driven Decisions: A Predictive Maintenance Case in 5G-Enabled Manufacturing M Åkerman, C Lundgren, M Bärring, M Folkesson, V Berggren, J Stahre, ... Procedia Manufacturing 17, 411-418, 2018 | 59 | 2018 |
| Analysing the antecedents to digital platform implementation for resilient and sustainable manufacturing supply chains-An IDEF0 modelling approach A Chari, J Stahre, M Bärring, M Despeisse, D Li, M Friis, M Mörstam, ... Journal of Cleaner Production 429, 139598, 2023 | 35 | 2023 |
| 5G Enabled Manufacturing Evaluation for Data-Driven Decision-Making M Bärring, C Lundgren, M Åkerman, B Johansson, J Stahre, U Engström, ... Procedia CIRP 72, 266-271, 2018 | 26 | 2018 |
| A VSM approach to support data collection for a simulation model M Bärring, D Nåfors, D Henriksen, D Olsson, B Johansson, U Larsson 2017 Winter Simulation Conference (WSC), 3928-3939, 2017 | 22 | 2017 |
| Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method C Lundgren, E Turanoglu Bekar, M Bärring, J Stahre, A Skoogh, ... International Journal of Computer Integrated Manufacturing 35 (1), 69-90, 2022 | 20 | 2022 |
| Technical Interoperability for Machine Connectivity on the Shop Floor M Åkerman, J Stahre, U Engström, O Angelsmark, D McGillivray, ... Technologies 6 (3), 57, 2018 | 17 | 2018 |
| Supporting Discrete Event Simulation with 3D Laser Scanning and Value Stream Mapping: Benefits and Drawbacks D Nåfors, M Bärring, M Estienne, B Johansson, M Wahlström Procedia CIRP 72 (1), 1536-1541, 2018 | 17 | 2018 |
| Achieving sustainable manufacturing by embedding sustainability Kpis in Digital Twins CAG Chávez, M Bärring, M Frantzén, A Annepavar, D Gopalakrishnan, ... 2022 Winter Simulation Conference (WSC), 1683-1694, 2022 | 16 | 2022 |
| Challenges of Data Acquisition for Simulation Models of Production Systems in Need of Standards M Bärring, B Johansson, E Flores-García, J Bruch, M Wahlström 2018 Winter Simulation Conference (WSC), 691-702, 2018 | 13 | 2018 |
| Digital Twin for Smart Manufacturing: The Practitioner’s Perspective M Bärring, B Johansson, G Shao ASME International Mechanical Engineering Congress and Exposition 84492 …, 2020 | 11 | 2020 |
| Digital technologies enabling data of production systems for decision support M Bärring, B Johansson, J Stahre ASTM International 4 (2), 62-79, 2020 | 10 | 2020 |
| Factory Radio Design of a 5G Network in Offline Mode M Bärring, O Iupikov, AA Glazunov, M Ivashina, J Berglund, B Johansson, ... IEEE Access 9, 23095-23109, 2021 | 9 | 2021 |
| Using digital platforms for value chain sustainability–Cases from the Digitala Stambanan project CAG Chávez, A Chari, A Ito, M Bärring, M Friis, M Mörstram, PV Lopes, ... Procedia CIRP 120, 1137-1142, 2023 | 7 | 2023 |
| Increasing the Value of Data in Production Systems M BÄRRING | 6 | 2019 |
| A Case Study For Modeling Machine Tool Systems Using Standard Representations M Bärring, G Shao, M Helu, B Johansson 2020 ITU Kaleidoscope: Industry-Driven Digital Transformation (ITU K), 1-8, 2020 | 4 | 2020 |
| Analysing the Current State of a Warehouse-A Framework Based on VSM, Activity Profiling and Benchmarking I Wessman, M Bärring | 4 | 2014 |
| Analysing the Current State of a Warehouse I Wessman, M Bärring | 2* | |
| A Collaborative Digital Platform for Root Cause Analysis in a Value Chain A Ito, D Li, MH Hagström, J Bokrantz, A Skoogh, M Bärring, J Stahre Industrial Engineering and Applications, 299-307, 2023 | 1 | 2023 |
| From Data to Decision Support in Manufacturing M Bärring PQDT-Global, 2021 | | 2021 |
Björn JohanssonProfessor Sustainable Production, Chalmers University of TechnologyVerified email at chalmers.se
