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2020 – today
- 2024
[j10]Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimarães de Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri:
Synthetic data generation for digital twins: enabling production systems analysis in the absence of data. Int. J. Comput. Integr. Manuf. 37(10-11): 1252-1269 (2024)- [c29]Paulo Victor Lopes, Giovanni Lugaresi, Filipe Alves Neto Verri, Anders Skoogh:
Process Mining And Production Routing Fast Profiling For Data-Driven Digital Twins. ECMS 2024: 171-177 - [c28]Juliano Yoshiro Nishiura, Paulo Victor Lopes, Filipe Alves Neto Verri, Anders Skoogh:
How To Evaluate Process Discovery For Digital Twins In Industry 4.0? Process Discovery, Hypothesis Testing, And Conformance Analysis. ECMS 2024: 178-184 - [c27]Sabino Francesco Roselli
, Martin Dahl, Mukund Subramaniyan, Ebru Turanoglu Bekar, Anders Skoogh:
Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. APMS (5) 2024: 95-107 - 2023
- [j9]Camilla Lundgren, Cecilia Berlin, Anders Skoogh, Anders Källström:
How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context. Int. J. Prod. Res. 61(15): 5282-5301 (2023) - [c26]Mélanie Despeisse, Björn Johansson, Jon Bokrantz, Greta Braun, Arpita Chari, Xiaoxia Chen, Qi Fang, Clarissa A. González Chávez, Anders Skoogh, Johan Stahre, Ninan Theradapuzha Mathew, Ebru Turanoglu Bekar, Hao Wang, Roland Örtengren:
Battery Production Systems: State of the Art and Future Developments. APMS (4) 2023: 521-535 - [c25]Paulo Victor Lopes, Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh:
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP. WSC 2023: 1996-2007 - [c24]Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh, Paulo Victor Lopes:
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance. WSC 2023: 2008-2019 - 2022
- [j8]Camilla Lundgren, Ebru Turanoglu Bekar, Maja Bärring, Johan Stahre, Anders Skoogh, Björn Johansson, Richard Hedman:
Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method. Int. J. Comput. Integr. Manuf. 35(1): 69-90 (2022) - 2021
- [j7]Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh:
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. IEEE Access 9: 100063-100080 (2021) - [c23]Jon Bokrantz, Anders Skoogh:
Perspectives on the Future of Maintenance Engineering Education. APMS (5) 2021: 209-216 - [c22]Harshad Kurrewar, Ebru Turanoglu Bekar, Anders Skoogh, Per Nyqvist:
A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing. APMS (3) 2021: 599-608 - [c21]Christoph Roser, Mukund Subramaniyan, Anders Skoogh, Björn Johansson:
An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection. APMS (1) 2021: 683-689 - 2020
- [j6]Mukund Subramaniyan, Anders Skoogh, Azam Sheikh Muhammad, Jon Bokrantz, Björn Johansson, Christoph Roser:
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective. Comput. Ind. Eng. 150: 106851 (2020)
2010 – 2019
- 2019
- [c20]Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Gulisano, Anders Skoogh, Marina Papatriantafilou:
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. ETFA 2019: 993-1000 - [c19]Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Gulisano, Anders Skoogh, Marina Papatriantafilou:
Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study. ISIE 2019: 1328-1333 - 2018
- [j5]Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson, Pramod Bangalore, Jon Bokrantz:
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines. Comput. Ind. Eng. 125: 533-544 (2018) - [j4]Jon Bokrantz, Anders Skoogh, Dan Lämkull, Atieh Hanna, Terrence Perera:
Data quality problems in discrete event simulation of manufacturing operations. Simul. 94(11) (2018) - 2017
- [c18]Camilla Lundgren, Anders Skoogh, Björn Johansson, Johan Stahre, Martin Friis:
The value of 5G connectivity for maintenance in manufacturing industry. WSC 2017: 3964-3975 - 2016
- [c17]Maheshwaran Gopalakrishnan, Anders Skoogh, Christoph Laroque:
Buffer utilization based scheduling of maintenance activities by a shifting priority approach - a simulation study. WSC 2016: 2797-2808 - 2015
- [c16]Jon Bokrantz, Anders Skoogh, Jon Andersson, Jacob Ruda, Dan Lämkull:
A methodology for continuous quality assurance of production data. WSC 2015: 2088-2099 - 2014
- [c15]Maheshwaran Gopalakrishnan, Anders Skoogh, Christoph Laroque:
Simulation-based planning of maintenance activities by a shifting priority method. WSC 2014: 2168-2179 - 2013
- [c14]Tobias Dettmann, Clas Andersson, Jon Andersson, Anders Skoogh, Björn Johansson, Per-Olof Forsbom:
Startup methodology for production flow simulation projects assessing environmental sustainability. WSC 2013: 1926-1937 - [c13]Sanjay Jain, Sigríður Sigurðardóttir, Erik Lindskog, Jon Andersson, Anders Skoogh, Björn Johansson:
Multi-resolution modeling for supply chain sustainability analysis. WSC 2013: 1996-2007 - [c12]Maheshwaran Gopalakrishnan, Anders Skoogh, Christoph Laroque:
Simulation-based planning of maintenance activities in the automotive industry. WSC 2013: 2610-2621 - 2012
- [j3]Anders Skoogh, Terrence Perera, Björn Johansson:
Input data management in simulation - Industrial practices and future trends. Simul. Model. Pract. Theory 29: 181-192 (2012) - [j2]Anders Skoogh, Björn Johansson, Johan Stahre:
Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation. Simul. 88(11): 1279-1293 (2012) - [c11]Björn Johansson, Jon Andersson, Erik Lindskog, Jonatan Berglund, Anders Skoogh:
Evaluation and Calculation of Dynamics in Environmental Impact Assessment. APMS (1) 2012: 135-141 - [c10]Anders Skoogh, Björn Johansson, Edward J. Williams:
Constructive alignment in simulation education. WSC 2012: 137:1-137:11 - [c9]Jon Andersson, Anders Skoogh, Björn Johansson:
Evaluation of methods used for life-cycle assessments in discrete event simulation. WSC 2012: 156:1-156:12 - 2011
- [c8]Jon Andersson, Anders Skoogh, Björn Johansson:
Environmental activity based cost using discrete event simulation. WSC 2011: 891-902 - [c7]Erik Lindskog, Linus Lundh, Jonatan Berglund, Y. Tina Lee, Anders Skoogh, Björn Johansson:
A method for determining the environmental footprint of industrial products using simulation. WSC 2011: 2136-2147 - 2010
- [c6]Anders Skoogh, John Michaloski, Nils Bengtsson:
Towards continuously updated simulation models: combining automated raw data collection and automated data processing. WSC 2010: 1678-1689 - [c5]Adrien Boulonne, Björn Johansson, Anders Skoogh, Mark Aufenanger:
Simulation data architecture for sustainable development. WSC 2010: 3435-3446
2000 – 2009
- 2009
- [j1]Anders Skoogh, Björn Johansson:
Mapping of Time-Consumption During Input Data Management Activities. Simul. Notes Eur. 19(2): 39-46 (2009) - [c4]Björn Johansson, Anders Skoogh, Mahesh Mani, Swee Leong:
Discrete event simulation to generate requirements specification for sustainable manufacturing systems design. PerMIS 2009: 38-42 - [c3]Nils Bengtsson, Guodong Shao, Björn Johansson, Y. Tina Lee, Swee Leong, Anders Skoogh, Charles R. McLean:
Input Data Management Methodology for Discrete Event Simulation. WSC 2009: 1335-1344 - 2008
- [c2]Anders Skoogh, Björn Johansson:
A methodology for input data management in discrete event simulation projects. WSC 2008: 1727-1735 - 2007
- [c1]Marcus Johansson, Björn Johansson, Anders Skoogh, Swee Leong, Frank Riddick, Y. Tina Lee, Guodong Shao, Pär Klingstam:
A test implementation of the core manufacturing simulation data specification. WSC 2007: 1673-1681
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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