| On the structure of dynamic principal component analysis used in statistical process monitoring E Vanhatalo, M Kulahci, B Bergquist Chemometrics and intelligent laboratory systems 167, 1-11, 2017 | 103 | 2017 |
| A taxonomy of railway track maintenance planning and scheduling: A review and research trends M Sedghi, O Kauppila, B Bergquist, E Vanhatalo, M Kulahci Reliability Engineering & System Safety 215, 107827, 2021 | 85 | 2021 |
| The Effect of Autocorrelation on the Hotelling T2 Control Chart E Vanhatalo, M Kulahci Quality and Reliability Engineering International 31 (8), 1779-1796, 2015 | 66 | 2015 |
| Impact of autocorrelation on principal components and their use in statistical process control E Vanhatalo, M Kulahci Quality and Reliability Engineering International 32 (4), 1483-1500, 2016 | 59 | 2016 |
| The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods F Capaci, E Vanhatalo, M Kulahci, B Bergquist Quality Engineering 31 (2), 212-229, 2019 | 50 | 2019 |
| Performance-based logistics–an illusive panacea or a concept for the future? M Holmbom, B Bergquist, E Vanhatalo Journal of Manufacturing Technology Management 25 (7), 958-979, 2014 | 37 | 2014 |
| Multivariate process monitoring of an experimental blast furnace E Vanhatalo Quality and reliability engineering international 26 (5), 495-508, 2010 | 34 | 2010 |
| Using RFID to improve traceability in process industry: experiments in a distribution chain for iron ore pellets B Kvarnström, E Vanhatalo Journal of Manufacturing Technology Management 21 (1), 139-154, 2009 | 34 | 2009 |
| Special considerations when planning experiments in a continuous process E Vanhatalo, B Bergquist Quality Engineering 19 (3), 155-169, 2007 | 34 | 2007 |
| A Bayesian analysis of unreplicated two-level factorials using effects sparsity, hierarchy, and heredity B Bergquist, E Vanhatalo, ML Nordenvaad Quality Engineering 23 (2), 152-166, 2011 | 28 | 2011 |
| Towards Improved Analysis Methods for Two‐Level Factorial Experiments with Time Series Responses E Vanhatalo, B Bergquist, K Vännman Quality and Reliability Engineering International 29 (5), 725-741, 2013 | 17 | 2013 |
| A method to determine transition time for experiments in dynamic processes E Vanhatalo, B Kvarnström, B Bergquist, K Vännman Quality Engineering 23 (1), 30-45, 2010 | 15 | 2010 |
| Data‐driven maintenance planning and scheduling based on predicted railway track condition M Sedghi, B Bergquist, E Vanhatalo, A Migdalas Quality and Reliability Engineering International 38 (7), 3689-3709, 2022 | 14 | 2022 |
| Statistical methods–still ignored? The testimony of Swedish alumni P Lundkvist, B Bergquist, E Vanhatalo Total Quality Management & Business Excellence 31 (3-4), 245-262, 2020 | 14 | 2020 |
| In-situ measurement in the iron ore pellet distribution chain using active RFID technology B Bergquist, E Vanhatalo Powder Technology 361, 791-802, 2020 | 10 | 2020 |
| Using factorial design and multivariate analysis when experimenting in a continuous process E Vanhatalo, K Vännman Quality and Reliability Engineering International 24 (8), 983-995, 2008 | 10 | 2008 |
| Exploring the use of design of experiments in industrial processes operating under closed‐loop control F Capaci, B Bergquist, M Kulahci, E Vanhatalo Quality and Reliability Engineering International 33 (7), 1601-1614, 2017 | 8 | 2017 |
| Att lyckas med ständiga förbättringar: en checklista för teamledare T Ramström, T Stridh | 5 | 2008 |
| Integrating mixture experiments and six sigma methodology to improve fibre‐reinforced polymer composites S Larsson Turtola, A Rönnbäck, E Vanhatalo Quality and Reliability Engineering International 38 (4), 2233-2254, 2022 | 4 | 2022 |
| On monitoring industrial processes under feedback control F Capaci, E Vanhatalo, A Palazoglu, B Bergquist, M Kulahci Quality and Reliability Engineering International 36 (8), 2720-2737, 2020 | 4 | 2020 |
Bjarne Bergquistprofessor i kvalitetsteknik, Luleå tekniska universitetEmail verificata su ltu.se