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 - Prell, Bastian A1 - Reinhardt, Heiner A1 - Mauersberger, Anton A1 - Rauscher, Alexander A1 - Reiff-Stephan, Jörg A1 - Ihlenfeldt, Steffen T1 - A survey on sustainability approaches in manufacturing JF - Procedia CIRP N2 - Awareness about climate change has led to policies and regulations but also customer preferences favoring sustainable production. Thus, producing businesses are confronted by this, as they consume a large share of resources. Therefore, when producing, additional dimensions beyond commercial feasibility ought to be considered. Here, literature on sustainability from the field of engineering science is systematically searched and analyzed for approaches leading to actual recommendations for action. Hence, this bottom-up approach, incorporating the production engineers’ point of view, represents an inside view of how the topic of sustainability has arrived at production companies. The focus on commercial feasibility ensures high relevance to practice, as production needs to become both sustainable and competitive. Even though exemplary collections of different approaches addressing the topic of sustainability in production can be found in literature, novelty is provided by the structured manner literature was collected and the special focus on approaches leading to practice-relevant recommendations for action. Thus, a comprehensive overview of approaches applicable to the manufacturing domain is presented. KW - eco-design methodology KW - economics KW - environment(al) KW - innovation management KW - manufacturing KW - production KW - sustainable development Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17527 SN - 2212-8271 VL - 116 SP - 101 EP - 106 PB - Elsevier ER - TY - JOUR A1 - Köberlein, Jana A1 - Bank, Lukas A1 - Roth, Stefan A1 - Köse, Ekrem A1 - Kuhlmann, Timm A1 - Prell, Bastian A1 - Stange, Maximilian A1 - Münnich, Marc A1 - Flum, Dominik A1 - Moog, Daniel A1 - Ihlenfeldt, Steffen A1 - Sauer, Alexander A1 - Weigold, Matthias A1 - Schilp, Johannes T1 - Simulation Modeling for Energy-Flexible Manufacturing: Pitfalls and How to Avoid Them JF - Energies N2 - Due to the high share of industry in total electricity consumption, industrial demand-side management can make a relevant contribution to the stability of power systems. At the same time, companies get the opportunity to reduce their electricity procurement costs by taking advantage of increasingly fluctuating prices on short-term electricity markets, the provision of system services on balancing power markets, or by increasing the share of their own consumption from on-site generated renewable energy. Demand-side management requires the ability to react flexibly to the power supply situation without negatively affecting production targets. It also means that the management and operation of production must consider not only production-related parameters but also parameters of energy availability, which further increase the complexity of decision-making. Although simulation studies are a recognized tool for supporting decision-making processes in production and logistics, the simultaneous simulation of material and energy flows has so far been limited mainly to issues of energy efficiency as opposed to energy flexibility, where application-oriented experience is still limited. We assume that the consideration of energy flexibility in the simulation of manufacturing systems will amplify already known pitfalls in conducting simulation studies. Based on five representative industrial use cases, this article provides practitioners with application-oriented experiences of the coupling of energy and material flows in simulation modeling of energy-flexible manufacturing, identifies challenges in the simulation of energy-flexible production systems, and proposes approaches to face these challenges. Seven pitfalls that pose a particular challenge in simulating energy-flexible manufacturing have been identified, and possible solutions and measures for avoiding them are shown. It has been found that, among other things, consistent management of all parties involved, early clarification of energy-related, logistical, and resulting technical requirements for models and software, as well as the application of suitable methods for validation and verification are central to avoiding these pitfalls. The identification and characterization of challenges and the derivation of recommendations for coping with them can raise awareness of typical pitfalls. This paper thus helps to ensure that simulation studies of energy-flexible production systems can be carried out more efficiently in the future. KW - industrial demand-side management KW - energy-flexible manufacturing system KW - simulation pitfall KW - simulation of material and energy flows Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-16152 SN - 1996-1073 VL - 15 IS - 10 PB - MDPI 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 -