2019
DOI: 10.1016/j.procir.2019.03.216
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Framework for the usage of data from real-time indoor localization systems to derive inputs for manufacturing simulation

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Cited by 17 publications
(6 citation statements)
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“…The present literature on the use of Python for automating data preparation in DES for vehicle production is minimal but promising. Using a real-time indoor localization system, a manufacturing simulation with real-time data parameterization and management of the real system through adaptations was introduced by (Mieth et al 2019).…”
Section: Proceedings Of the International Conference On Industrialmentioning
confidence: 99%
“…The present literature on the use of Python for automating data preparation in DES for vehicle production is minimal but promising. Using a real-time indoor localization system, a manufacturing simulation with real-time data parameterization and management of the real system through adaptations was introduced by (Mieth et al 2019).…”
Section: Proceedings Of the International Conference On Industrialmentioning
confidence: 99%
“…The authors primarily deal with the effects for PPC systems and describe theoretical potentials as well as technical hurdles [14]. Mieth et al [15], for example, describe how real-time data can improve the simulation of production. Karner et al [16] use real-time machine condition data to improve production planning.…”
Section: Basics and Related Researchmentioning
confidence: 99%
“…Present production process data (10), supplier data (11), production data (12), order data (13) FR rcs 14 Correlate data FR rcs 15 Present current production schedule…”
Section: Requirementmentioning
confidence: 99%
“…Decision makers of organizations will encounter various integration problems during decision-making and troubleshooting processes [1] owing to the limitation in the development of a complex manufacturing system. Enterprises and firms should define relative frameworks to address the challenges of information imbalance and cognition bias posed by the evolution of internet of things (IoT) techniques and telecommunication technology.…”
Section: Introductionmentioning
confidence: 99%