Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems

Jonas Friederich, Sune Chung Jepsen, Sanja Lazarova-Molnar, Torben Worm

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Planning and deploying reliable Smart Manufacturing Systems (SMSs) is of increasing interest to both scholars and practitioners. High system reliability goes hand in hand with reduced maintenance costs and enables optimized repairs and replacements. To leverage the full potential of SMSs and enable data-driven reliability assessment, data needs should be precisely defined. System integration is a key concept of the Industry 4.0 initiative and it can aid the extraction of the needed data. In this paper, we study the data requirements for a novel middleware for SMSs to enable and support data-driven reliability assessment. We present this middleware architecture and demonstrate its application through a case study, which is used to generate exemplary data that corresponds to the derived requirements. The data requirements and the middleware architecture can support researchers in developing novel data-driven reliability assessment methods, as well as assist practitioners in designing and deploying SMSs in companies.

Original languageEnglish
Title of host publication2021 Winter Simulation Conference, WSC 2021
Number of pages12
Publication dateDec 2021
Article number68
ISBN (Electronic)9781665433112
Publication statusPublished - Dec 2021
Event2021 Winter Simulation Conference, WSC 2021 - Phoenix, United States
Duration: 12. Dec 202115. Dec 2021


Conference2021 Winter Simulation Conference, WSC 2021
Country/TerritoryUnited States
SeriesProceedings - Winter Simulation Conference


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