A test implementation of the core manufacturing simulation data specification. - Marcus Johansson; Björn Johansson 004; Anders Skoogh; Swee Leong; Frank Riddick; Y. Tina Lee; Guodong Shao; Pär Klingstam (WSC, 2007)

A methodology for input data management in discrete event simulation projects. - Anders Skoogh; Björn Johansson 004 (WSC, 2008)

Discrete event simulation to generate requirements specification for sustainable manufacturing systems design. - Björn Johansson 004; Anders Skoogh; Mahesh Mani; Swee Leong (PerMIS, 2009)

Input Data Management Methodology for Discrete Event Simulation. - Nils Bengtsson; Guodong Shao; Björn Johansson 004; Y. Tina Lee; Swee Leong; Anders Skoogh; Charles R. McLean (WSC, 2009)

Mapping of Time-Consumption During Input Data Management Activities. - Anders Skoogh; Björn Johansson 004 (Simul. Notes Eur., 2009)

Simulation data architecture for sustainable development. - Adrien Boulonne; Björn Johansson 004; Anders Skoogh; Mark Aufenanger (WSC, 2010)

Towards continuously updated simulation models: combining automated raw data collection and automated data processing. - Anders Skoogh; John Michaloski; Nils Bengtsson (WSC, 2010)

Environmental activity based cost using discrete event simulation. - Jon Andersson; Anders Skoogh; Björn Johansson 004 (WSC, 2011)

A method for determining the environmental footprint of industrial products using simulation. - Erik Lindskog; Linus Lundh; Jonatan Berglund; Y. Tina Lee; Anders Skoogh; Björn Johansson 004 (WSC, 2011)

Evaluation and Calculation of Dynamics in Environmental Impact Assessment. - Björn Johansson 004; Jon Andersson; Erik Lindskog; Jonatan Berglund; Anders Skoogh (APMS (1), 2012)

Evaluation of methods used for life-cycle assessments in discrete event simulation. - Jon Andersson; Anders Skoogh; Björn Johansson 004 (WSC, 2012)

Constructive alignment in simulation education. - Anders Skoogh; Björn Johansson 004; Edward J. Williams (WSC, 2012)

Input data management in simulation - Industrial practices and future trends. - Anders Skoogh; Terrence Perera; Björn Johansson 004 (Simul. Model. Pract. Theory, 2012)

Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation. - Anders Skoogh; Björn Johansson 004; Johan Stahre (Simul., 2012)

Startup methodology for production flow simulation projects assessing environmental sustainability. - Tobias Dettmann; Clas Andersson; Jon Andersson; Anders Skoogh; Björn Johansson 004; Per-Olof Forsbom (WSC, 2013)

Simulation-based planning of maintenance activities in the automotive industry. - Maheshwaran Gopalakrishnan; Anders Skoogh; Christoph Laroque (WSC, 2013)

Multi-resolution modeling for supply chain sustainability analysis. - Sanjay Jain 003; Sigríður Sigurðardóttir; Erik Lindskog; Jon Andersson; Anders Skoogh; Björn Johansson 004 (WSC, 2013)

Simulation-based planning of maintenance activities by a shifting priority method. - Maheshwaran Gopalakrishnan; Anders Skoogh; Christoph Laroque (WSC, 2014)

A methodology for continuous quality assurance of production data. - Jon Bokrantz; Anders Skoogh; Jon Andersson; Jacob Ruda; Dan Lämkull (WSC, 2015)

Buffer utilization based scheduling of maintenance activities by a shifting priority approach - a simulation study. - Maheshwaran Gopalakrishnan; Anders Skoogh; Christoph Laroque (WSC, 2016)

The value of 5G connectivity for maintenance in manufacturing industry. - Camilla Lundgren; Anders Skoogh; Björn Johansson 004; Johan Stahre; Martin Friis (WSC, 2017)

A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines. - Mukund Subramaniyan; Anders Skoogh; Hans Salomonsson; Pramod Bangalore; Jon Bokrantz (Comput. Ind. Eng., 2018)

Data quality problems in discrete event simulation of manufacturing operations. - Jon Bokrantz; Anders Skoogh; Dan Lämkull; Atieh Hanna; Terrence Perera (Simul., 2018)

Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ETFA, 2019)

Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ISIE, 2019)

A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective. - Mukund Subramaniyan; Anders Skoogh; Azam Sheikh Muhammad; Jon Bokrantz; Björn Johansson 004; Christoph Roser (Comput. Ind. Eng., 2020)

Perspectives on the Future of Maintenance Engineering Education. - Jon Bokrantz; Anders Skoogh (APMS (5), 2021)

A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing. - Harshad Kurrewar; Ebru Turanoglu Bekar; Anders Skoogh; Per Nyqvist (APMS (3), 2021)

An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection. - Christoph Roser; Mukund Subramaniyan; Anders Skoogh; Björn Johansson 004 (APMS (1), 2021)

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. - Alexander Karlsson; Ebru Turanoglu Bekar; Anders Skoogh (IEEE Access, 2021)

Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method. - Camilla Lundgren; Ebru Turanoglu Bekar; Maja Bärring; Johan Stahre; Anders Skoogh; Björn Johansson 004; Richard Hedman (Int. J. Comput. Integr. Manuf., 2022)

Battery Production Systems: State of the Art and Future Developments. - Mélanie Déspeisse; Björn Johansson 004; Jon Bokrantz; Greta Braun; Arpita Chari; Xiaoxia Chen; Qi Fang; Clarissa A. González Chávez; Anders Skoogh; Johan Stahre; Ninan Theradapuzha Mathew; Ebru Turanoglu Bekar; et al. (APMS (4), 2023)

Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance. - Siyuan Chen; Juan Pablo González Sánchez; Ebru Turanoglu Bekar; Jon Bokrantz; Anders Skoogh; Paulo Victor Lopes (WSC, 2023)

Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP. - Paulo Victor Lopes; Siyuan Chen; Juan Pablo González Sánchez; Ebru Turanoglu Bekar; Jon Bokrantz; Anders Skoogh (WSC, 2023)

How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context. - Camilla Lundgren; Cecilia Berlin; Anders Skoogh; Anders Källström (Int. J. Prod. Res., 2023)

Process Mining And Production Routing Fast Profiling For Data-Driven Digital Twins. - Paulo Victor Lopes; Giovanni Lugaresi; Filipe Alves Neto Verri; Anders Skoogh (ECMS, 2024)

How To Evaluate Process Discovery For Digital Twins In Industry 4.0? Process Discovery, Hypothesis Testing, And Conformance Analysis. - Juliano Yoshiro Nishiura; Paulo Victor Lopes; Filipe Alves Neto Verri; Anders Skoogh (ECMS, 2024)

Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. - Sabino Francesco Roselli; Martin Dahl; Mukund Subramaniyan; Ebru Turanoglu Bekar; Anders Skoogh (APMS (5), 2024)

Enhancing Digital Twins With Deep Reinforcement Learning: A Use Case in Maintenance Prioritization. - Siyuan Chen; Paulo Victor Lopes; Silvan Marti; Mohan Rajashekarappa; Sunith Bandaru; Christina Windmark; Jon Bokrantz; Anders Skoogh (WSC, 2024)

Synthetic data generation for digital twins: enabling production systems analysis in the absence of data. - Paulo Victor Lopes; Leonardo Silveira; Roberto Douglas Guimarães de Aquino; Carlos Henrique Ribeiro; Anders Skoogh; Filipe Alves Neto Verri (Int. J. Comput. Integr. Manuf., 2024)

Comparison of unsupervised image anomaly detection models for sheet metal glue lines. - Siyuan Chen; Sunith Bandaru; Silvan Marti; Ebru Turanoglu Bekar; Anders Skoogh (Eng. Appl. Artif. Intell., 2025)