[HTML][HTML] Reliability assessment of manufacturing systems: A comprehensive overview, challenges and opportunities

J Friederich, S Lazarova-Molnar - Journal of Manufacturing Systems, 2024 - Elsevier
Reliability assessment refers to the process of evaluating reliability of components or
systems during their lifespan or prior to their implementation. In the manufacturing industry …

PROCESS MINING AND SIMULATION MODELING IN PRODUCTION SYSTEMS: A REVIEW.

J Kurniasih, ZA Abas, SA Asmai, AB Wibowo - LogForum, 2024 - search.ebscohost.com
Background: Production systems often face challenges that impact efficiency, productivity,
and overall performance. Various approaches and techniques are employed to address …

A Framework for Validating Data-Driven Discrete-Event Simulation Models of Cyber-Physical Production Systems

J Friederich, S Lazarova-Molnar - 2023 Winter Simulation …, 2023 - ieeexplore.ieee.org
In recent years, there has been a significant increase in the deployment of Cyber-physical
Production Systems (CPPS) across various industries. CPPS consist of interconnected …

Fusing Expert Knowledge and Data for Simulation Model Discovery in Digital Twins: A Case Study from Reliability Modeling

M Jungmann, S Lazarova-Molnar - 2024 Winter Simulation …, 2024 - ieeexplore.ieee.org
Integrating expert knowledge in data-driven Digital Twins can lead to better-informed
underlying models. Achieving systematic integration, however, remains a complex …

Reliability modeling and simulation: advancements with data-driven techniques and expert knowledge integration

S Lazarova-Molnar, J Friederich, P Niloofar - SIMULATION, 2024 - journals.sagepub.com
Reliability of a system defines the likelihood that a system would operate as expected for a
predefined length of time. There have been numerous notable efforts to model systems with …

Equipment-centric Data-driven Reliability Assessment of Complex Manufacturing Systems

J Friederich, W Cai, BP Gan… - Proceedings of the 2023 …, 2023 - dl.acm.org
Complex manufacturing systems produce highly engineered products with long product
cycle times and are characterized by complex production process behaviors. Ensuring the …

Data-driven reliability assessment of manufacturing systems using process mining

J Friederich, S Lazarova-Molnar - Simulation, 2025 - journals.sagepub.com
Reliability analysis has long been used to understand and predict system behaviors in
various industries, including manufacturing, aerospace, and energy. However, the …

Extending Simulation Modeling Methodology for Digital Twin Applications

BS Onggo, CSM Currie - 2024 Winter Simulation Conference …, 2024 - ieeexplore.ieee.org
The number of reported works in Digital Twin (DT) has significantly increased in recent
years. A fundamental component of a DT is the digital representation of a real object …

Discovering Simulation Models from Labor-Intensive Manufacturing Systems

M Götz, S Lazarova-Molnar - 2024 Winter Simulation …, 2024 - ieeexplore.ieee.org
Simulation modeling has become essential in industries for enhancing processes, improving
efficiency, and mitigating risks within manufacturing systems. However, the automatic …

Modular Validation within Digital Twins: A Case Study in Reliability Analysis of Manufacturing Systems

A Zare, S Lazarova-Molnar - 2024 Winter Simulation …, 2024 - ieeexplore.ieee.org
As manufacturing rapidly evolves, optimizing processes is essential. Digital Twins, which act
as near real-time virtual replicas of the corresponding real-world systems, can support this …