TY - GEN A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - A simulation analysis of Independent Requirements Consumption in Master Production Scheduling T2 - ASIM Workshop, Trends in Computational Science and Engineering (ASIM TCSE 2012), February 13-14, 2012, Vienna University of Technology, Austria N2 - This poster presents purpose and function of the Independent Requirements Consumption in Master Production Scheduling and gives recommendations for its application. The approach of hierarchical production planning and its planning problems are explained. The problem of new customer requirements information between planning periods and solving options are shown. The solving option of Independent Requirements Consumption is focus of this poster. The algorithm of the Independent Requirements Consumption that is implemented in commercial Enterprise Resource Planning (ERP) systems like the SAP system is analyzed. The methods for analyzing the effects of the Independent Requirements Consumption are outlined. The scenarios for simulation studies are stated and compared to similar investigations. The simulation studies were performed on a simulation system at IPF that contains both a production planning and control system and a production. The extent of simulation analyses outreaches similar investigations, especially because of the variety of scenarios. For scenarios in which capacity is available to a sufficient extent, advice for setting the Independent Requirements Consumption parameters is given. It is pointed out that with production constrained scenarios, the necessity to level out production leads to problems. An algorithm to determine necessary inventory levels is presented. It is stated that straight advice for Independent Requirements Consumption parameter settings might not be possible with production constrained scenarios. Further analyses with production constrained scenarios as well as investigations concerning safety stocks in combination with Independent Requirements Consumption are current and future research topics at the Innovation Center for Production Logistics and Factory Planning. KW - Produktonsplanung KW - Simulation analysis KW - Independent Requirements Consumption KW - Master Production Scheduling KW - Enterprise-Resource-Planning KW - Kundenorientierung Y1 - 2012 ER - TY - GEN A1 - Bielmeier, Benno A1 - Mauerer, Wolfgang T1 - Semi-Formal Verification of Embedded Linux Systems Using Trace-Based Models T2 - Semi-Formal Verification of Embedded Linux Systems Using Trace-Based Models Y1 - 2023 UR - https://www.lfdr.de/Publications/2022/bielmeier_ossj22.pdf UR - https://www.youtube.com/watch?v=w42ab8-CH1o ER - TY - GEN A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - An Optimization Model for Production Scheduling with Energy Consumption and Energy-related Emissions T2 - OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe N2 - Due to the scarcity of resources, rising costs as well as the further need for ecological improvement in industrial production, firms are increasingly motivated to take into account energy consumption in production planning. Associated with this, the consideration of energy-related emissions is becoming an additional point of interest for decisionmakers in both, economic and ecological terms. Based on an extensive systematic literature review, the study at hand presents a multicriterial scheduling problem that addresses tardiness, energy consumption and energy-related emissions in production scheduling. A model is introduced that takes into account job release dates, multiple machine states, a power demand threshold as well as time-varying emission conversion factors. Multiple case studies are analysed and the effects of different technological implementations as energy onsite generation and energy storage systems are evaluated. Furthermore, several price mechanisms regarding energy procurement and emission trading are discussed. Moreover, by coupling the optimization model to a discrete event simulation model, we are able to compare the model results to real case scenarios. First computational experiments have demonstrated that the model and its extensions can effectively reduce the environmental impact associated with production while simultaneously considering corresponding economic objectives. Based on the proposed approach, our research aims on answering the question with which economic trade-offs an ecological improvement in terms of energy consumption and emission output can be achieved in production. KW - Optimization KW - Production Scheduling KW - Energy Consumption Y1 - 2022 ER - TY - GEN A1 - Herrmann, Frank A1 - Dilefeld, Maximilian T1 - Improving the scheduling of AGV and AMR using simulation T2 - OR23, International Conference on Operations Research, August 29 to September 1, 2023, Hamburg N2 - Automated Guided Vehicles (AGV) and intelligent Autonomous Mobile Robots (AMR) are an important tool for designing a flexible Industry 4.0 shopfloor. Both types of Mobile Robots are usually deployed with a Fleet Management software to manage (transport) orders and vehicles together with other superordinate control systems. The planning tasks in the superordinate control system used by both AGVs and AMRs can be divided into Material Flow Management, Job Management, Vehicle Dispatching and Job Processing. Requests for supply and removal of material is issued by the stations and has to be combined to transport jobs. Alternatively, more complex system often user external Material Flow Controllers (e.g. MES). Jobs are collected in a queue and their execution order is determined. Vehicles which can execute the next job have to be identified and the best one is selected. Jobs are split into smaller tasks which are sent to the Mobile Robot and executed. For AGVs navigation functions are mostly integrated into the Fleet Manager as part of the Job Processing, while AMRs perform lower-level navigation functions directly on the vehicle and use the superordinate control system for implementing restrictions and traffic control functions. A need for further research and development was identified especially for decision-making algorithms within the Fleet Management. The goal is to compare existing and develop new strategies to solve the different planning problems. For the individual planning tasks different techniques have been discussed and used in research and practice. However, there is no universal best solution and different options must be compared in the context of the specific use case. KW - Simulation KW - Automated Guided Vehicles KW - Autonomous Mobile Robots Y1 - 2023 ER - TY - GEN A1 - Herrmann, Frank A1 - Schoen, Maximilian A1 - Claus, Thorsten A1 - Dai, Chenghao T1 - Aggregate Production Planning under Risk of Disruption T2 - OR 2024, International Conference on Operations Research 2024, September 3-6, 2024, Munich N2 - In recent years, large scale disruptions to global supply chains, like the Covid pandemic, a ship blocking the Suez canal or sanctions against Russia, have caused production to slow down or even to stand still, causing shortages and massive losses for affected businesses. Even if only specific companies were originally affected, shortages and delays rippled along the supply network. The established approach to deal with disruptions is to utilize safety stock and capacity to compensate for fluctuations in uncertain quantities like customer demand. This approach is tried and tested for small fluctuations. To address larger disruptions, like the above given, very high safety stock and capacity would be needed, which would lead to unnecessarily high costs. Resilience has often been viewed as an expensive capability that drives costs. Recent studies however advocate for the development of lean resilience concepts, creating new capabilities, which enable resilience and can deal with large fluctuations, reimagining resilience from the perspectives of efficiency and value creation. This contribution identifies gaps in current research and establishes structural deficits of approaches discussed in the literature regarding supply chains. Firstly, the need for rigorous, quantitative definitions of resilience and relevant disruptions is justified. Then, a stochastic model for aggregate production planning that includes capabilities to compensate for such large fluctuations along several dimensions is proposed. Lastly, this model is then applied to a case study pertaining to a realistic supply chain under the risk of large scale disruptions and the results of this approach are evaluated. KW - Supply Chain Resiliance KW - Aggregate Production Planning KW - Supply Chain Disruption Y1 - 2024 ER - TY - GEN A1 - Paetzel, Maike A1 - Schlesinger, Philipp A1 - Pricop, Mircea A1 - Comaneci, Radu A1 - Baumann, Timo A1 - Menzel, Wolfgang T1 - Inkrementelle und zustandsbasierte Verarbeitung in einem hybriden Sprachdialogsystem BT - Postersession der Sektion Computerlinguistik Y1 - 2013 UR - https://www.researchgate.net/publication/236879516_Inkrementelle_und_zustandsbasierte_Verarbeitung_in_einem_hybriden_Sprachdialogsystem UR - https://www.timobaumann.de/work/uploads/Main/pentomino2013dgfsposter.pdf ER - TY - GEN A1 - Altenbuchner, Amelie A1 - Haug, Sonja A1 - Mohr, Christa A1 - Scorna, Ulrike A1 - Weber, Karsten T1 - The impact of nurse advisors and online advice services on treatment adherence in multiple sclerosis (MS) T2 - 7th Joint European Committee for Treatment and Research in Multiple Sclerosis - Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS), 25.-27.10.2017, Paris Y1 - 2017 UR - https://onlinelibrary.ectrims-congress.eu/ectrims/2017/ACTRIMS-ECTRIMS2017/199863/amelie.altenbuchner.the.impact.of.nurse.advisors.and.online.advice.services.on.html ER - TY - GEN A1 - Mohr, Christa A1 - Altenbuchner, Amelie A1 - Haug, Sonja A1 - Scorna, Ulrike A1 - Weber, Karsten T1 - Der Einfluss von pflegerischer Fachberatung und Onlineberatung auf die Therapietreue (Compliance) bei der Behandlung von Multipler Sklerose (MS) BT - eine Längsschnittuntersuchung T2 - Forschungswelten 2018. 9. Internationaler wissenschaftlicher Kongress für Pflege- und Gesundheitsforschung, 19.-20.04.2018, St. Gallen KW - Multiple Sklerose KW - pflegerische Fachberatung KW - Therapietreue KW - Compliance KW - Online-Beratung Y1 - 2018 ER - TY - GEN A1 - Waas, Thomas ED - Ahmet, Yavuz Oral ED - Zehra, Banu Oral ED - Mehmet, Sezer ED - Mehmet, Emre Aköz ED - Seda, Kol ED - Onur, Alp ED - Aksan, Vala ED - Can, Aşkan ED - Gamze, Sekicek T1 - Energy Monitoring and Saving in Medium-Sized Companies T2 - 5th International Congress on Energy Efficiency & Energy Related Materials (ENEFM 2019), Gebze Technical University, Turkey, Book of Abstracts Y1 - 2019 ER - TY - GEN A1 - Haug, Sonja A1 - Weber, Karsten T1 - Soziale Ungleichheit und Wohn‐ und Energiekosten – welche Auswirkungen hat die Energiewende? T2 - Wachsende Ungleichheit - gespaltene Gesellschaft? Aktuelle Beiträge der empirisch-analytischen Soziologie. Erster Kongress der Akademie für Soziologie, 04.04.-06.04.2018, München Y1 - 2018 ER - TY - GEN A1 - Herrmann, Frank ED - Herrmann, Frank ED - Parra, Lorena ED - Popescu, Manuela T1 - Scheduling of a real world filter production with lot-size 1 T2 - SIMUL 2020: The Twelfth International Conference on Advances in System Simulation, 18.-22.10.2020 in Porto, Portugal N2 - In industrial practice, a travelling crane on the ceiling of a factory hall transports products in process from one station to the next one in a production line. Due to space restrictions, there is no buffer between the stations. The production line at Fiedler Andritz, Regensburg in Germany, can be seen as an example of such a problem class. Such restrictions reduce the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Due to the high number of jobs as well as the goal of a simple algorithm, scheduling is always done by priority rules at the company site. The standard approach of using the net processing time causes poor results. A simulation of the processing time is suggested. In addition, several very relevant priority rules from the literature are modified by this simulated processing and significantly better results are obtained. Keywords-Simulation of processing time; scheduling, flowshop; no-buffer (blocking); no-wait; priority rules; real world application; filter production Y1 - 2020 UR - https://www.iaria.org/conferences2020/filesSIMUL20/SIMUL_58001.pdf UR - https://www.thinkmind.org/index.php?view=instance&instance=SIMUL+2020 SN - 978-1-61208-831-0 SP - 1 EP - 6 PB - IARIA XPS Press CY - Wilmington, DE, USA ER -