TY - JOUR A1 - Reinhardt, Heiner A1 - Mahdaviasl, Mahtab A1 - Prell, Bastian A1 - Mauersberger, Anton A1 - Klimant, Philipp A1 - Reiff-Stephan, Jörg A1 - Ihlenfeldt, Steffen T1 - Efficient data acquisition for traceability and analytics JF - Procedia CIRP N2 - Implementing processes for traceability is required in various industries to assure product quality during manufacturing, provide evidence on required processing conditions or facilitate product recalls. Commonly, radio-frequency identification (RFID) or code recognition techniques (e.g. Data Matrix) are applied to track the flow of workpieces through a manufacturing system and link processing data accordingly. Although the analysis of tracking data is well-examined, we still see a gap in the research on the trade-off between data acquisition, data analytics and data quality. Here, we present a framework to increase the value of existing data by enabling data analytics while addressing common pitfalls and reducing the costs of data management. KW - identification KW - knowledge management KW - manufacturing system KW - process control KW - quality assurance KW - sustainable development KW - decision making KW - complexity KW - analysis KW - design Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-19232 SN - 2212-8271 VL - 122 SP - 73 EP - 78 PB - Elsevier ER - TY - JOUR A1 - Reinhardt, Heiner A1 - Bogdanow, Boran A1 - Arnold, Roman A1 - Prell, Bastian A1 - Klimant, Philipp A1 - Seifert, Frank A1 - Mahdaviasl, Mahtab A1 - Ihlenfeldt, Steffen T1 - Objective validation for short-term material flow simulation JF - Procedia CIRP N2 - Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles. KW - digital twin KW - simulation KW - quality KW - optimization KW - manufacturing system KW - control KW - analysis Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20554 VL - 134 SP - 526 EP - 531 PB - Elsevier ER - TY - JOUR A1 - Reinhardt, Heiner A1 - Bogdanow, Boran A1 - Arnold, Roman A1 - Prell, Bastian A1 - Klimant, Philipp A1 - Seifert, Frank A1 - Mahdaviasl, Mahtab A1 - Ihlenfeldt, Steffen T1 - Subjective validation for short-term material flow simulation JF - Procedia CIRP N2 - Material flow simulation, by means of discrete event simulation (DES), is frequently applied to support decision-making in production planning and control. However, manual modeling can be time-consuming and error-prone. Hence, numerous studies propose the automation of model generation and synchronization to overcome these challenges. However, in this context, validation techniques are rarely addressed. Therefore, we introduce a subjective validation technique for short-term material flow simulation based on a coherent methodology for data acquisition and visualization. The methodology is utilized to evaluate the outcome of an approach for computerized model generation and simulation. By means of an industrial use case, we hypothesize the causes for the deviation between the operation of a manufacturing system and the simulation of its generated virtual companion. KW - digital twin KW - simulation KW - quality KW - optimization KW - manufacturing system KW - control KW - analysis Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-20576 VL - 134 SP - 562 EP - 566 PB - Elsevier ER -