@article{ReinhardtMahdaviaslPrelletal.2024, author = {Reinhardt, Heiner and Mahdaviasl, Mahtab and Prell, Bastian and Mauersberger, Anton and Klimant, Philipp and Reiff-Stephan, J{\"o}rg and Ihlenfeldt, Steffen}, title = {Efficient data acquisition for traceability and analytics}, series = {Procedia CIRP}, volume = {122}, journal = {Procedia CIRP}, publisher = {Elsevier}, issn = {2212-8271}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19232}, pages = {73 -- 78}, year = {2024}, abstract = {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.}, language = {en} } @article{PrellReinhardtMauersbergeretal.2023, author = {Prell, Bastian and Reinhardt, Heiner and Mauersberger, Anton and Rauscher, Alexander and Reiff-Stephan, J{\"o}rg and Ihlenfeldt, Steffen}, title = {A survey on sustainability approaches in manufacturing}, series = {Procedia CIRP}, volume = {116}, journal = {Procedia CIRP}, publisher = {Elsevier}, issn = {2212-8271}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-17527}, pages = {101 -- 106}, year = {2023}, abstract = {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.}, language = {en} } @article{KoeberleinBankRothetal.2022, author = {K{\"o}berlein, Jana and Bank, Lukas and Roth, Stefan and K{\"o}se, Ekrem and Kuhlmann, Timm and Prell, Bastian and Stange, Maximilian and M{\"u}nnich, Marc and Flum, Dominik and Moog, Daniel and Ihlenfeldt, Steffen and Sauer, Alexander and Weigold, Matthias and Schilp, Johannes}, title = {Simulation Modeling for Energy-Flexible Manufacturing: Pitfalls and How to Avoid Them}, series = {Energies}, volume = {15}, journal = {Energies}, number = {10}, publisher = {MDPI}, issn = {1996-1073}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-16152}, year = {2022}, abstract = {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.}, language = {en} } @article{ReinhardtBogdanowArnoldetal.2025, author = {Reinhardt, Heiner and Bogdanow, Boran and Arnold, Roman and Prell, Bastian and Klimant, Philipp and Seifert, Frank and Mahdaviasl, Mahtab and Ihlenfeldt, Steffen}, title = {Objective validation for short-term material flow simulation}, series = {Procedia CIRP}, volume = {134}, journal = {Procedia CIRP}, publisher = {Elsevier}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20554}, pages = {526 -- 531}, year = {2025}, abstract = {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.}, language = {en} } @article{ReinhardtBogdanowArnoldetal.2025, author = {Reinhardt, Heiner and Bogdanow, Boran and Arnold, Roman and Prell, Bastian and Klimant, Philipp and Seifert, Frank and Mahdaviasl, Mahtab and Ihlenfeldt, Steffen}, title = {Subjective validation for short-term material flow simulation}, series = {Procedia CIRP}, volume = {134}, journal = {Procedia CIRP}, publisher = {Elsevier}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-20576}, pages = {562 -- 566}, year = {2025}, abstract = {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.}, language = {en} }