TY - CHAP A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Emission reduction through production scheduling by priority rules and energy onsite generation T2 - Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, Ålesund, Norway N2 - This article describes primary findings of various simulation runs on job shop scheduling dealing with energy consumption and emission pollution. By two combinations of priority rules, production is linked to the generation output of a renewable energy source installed onsite. The resulting schedules show a reduction of energy-related emissions and makespan compared to several conventional priority rules often used in industrial practice. KW - Sustainable Production Planning KW - Energy-related Emissions KW - Job Shop Scheduling KW - Simulation Y1 - 2022 SN - 978-3-937436-77-7 U6 - https://doi.org/10.7148/2022-0114 SN - 2522-2414 SP - 114 EP - 120 PB - ECMS 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 - CHAP A1 - Herrmann, Frank T1 - Simulative analysis of storage strategies for pallet warehouses T2 - Informatics, Microsystems, Information System, Proceedings, 2012 KW - Palette KW - Lagerhaltung KW - Strategisches Management KW - Simulation Y1 - 2012 VL - Vol. 1(1) ER - TY - RPRT A1 - Herrmann, Frank A1 - Kreutz, Michael T1 - Simulations-System für das R/3-System (SIM-R/3) der SAP AG T2 - Forschungsbericht der Hochschule Regensburg KW - SAP R/3 KW - Simulation Y1 - 2006 SP - 46 EP - 50 PB - Weka Info Verlag CY - Regensburg ER - TY - CHAP A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Simulation als betriebliche Entscheidungshilfe T2 - Ergänzungsband zu den Proceedings zur 14. ASIM Fachtagung "Simulation in Produktion und Logistik", vom 6. bis 8. Oktober 2010 am Karlsruher Institut für Technologie, Karlsruhe KW - Produktion KW - Logistik KW - Simulation KW - Entscheidungsprozess Y1 - 2010 ER - TY - JOUR A1 - Herrmann, Frank T1 - SIM-R/3: Softwaresystem zur Simulation der Regelung produktionslogistischer Prozesse durch das R/3-System der SAP AG JF - Wirtschaftsinformatik N2 - State of the art in enterprises is the control of business processes by enterprise resource planning systems (ERP systems) such as the R/3 system of SAP AG. A typical task in the implementation phase of ERP systems consists in the choice of an appropriate lot sizing procedure and the setup of its parameters. The existing procedures do not deliver the best results for each business process. So, a business specific setup is required. Unfortunately, there is no knowledge of good parameter settings for typical business processes. Therefore, different parameter settings have to be tested out on real business processes over long periods (e. g. over several years). Of course, such an approach fails due to time restrictions. In addition, the literature argues that an automated software process — contrary to a physical process — is often never called in question or further optimized. An alternative offers a simulation of business processes which is controlled by an ERP system. In the laboratory of information science and production logistics (LIP) at the University of Applied Sciences, Regensburg, a pilot implementation of a system for simulating the control of production processes by the SAP R/3-System (SIM-R/3) was developed. SIM-R/3 allows such a simulation over long periods. KW - Fertigungslogistik KW - Enterprise-Resource-Planning KW - Simulation KW - SAP R/3 KW - eM-Plant KW - Regelung produktionslogistischer Prozesse KW - Planungsverfahren und-parameter in ERP-Systemen Y1 - 2007 U6 - https://doi.org/10.1007/s11576-007-0034-5 VL - 49 IS - 2 SP - 127 EP - 133 ER - TY - RPRT A1 - Heindl, Martina A1 - Herrmann, Frank A1 - Juraske, Erich T1 - Simulation von Einlagerstrategien T2 - Forschungsbericht der Hochschule Regensburg KW - Lagerhaltung KW - Raumbedarf KW - Simulation Y1 - 2007 SP - 30 EP - 39 PB - Weka Info Verlag CY - Regensburg ER - TY - CHAP A1 - Forstner, Robert A1 - Stauber, Stephan A1 - Herrmann, Frank T1 - Simulationsstudie zur sequentiellen Behälterversorgung in der automatischen Intralogistik T2 - Simulation in Produktion und Logistik 2017, September 20 - 22, 2017, Kassel, Germany N2 - After explaining the necessity of sequential sorting processes within branched conveyor systems and introducing basic sequential controlling principles, this paper analyses with a simulation study different ways of implementing sequential supply processes for small load carriers in an abstracted automated intralogistics system. Simulation results show that a layout with sequencing systems with explicit buffer places can ensure much higher sequential throughput performances than a layout with a loop for sequencing or a layout which implements sequencing processes just with the control of carrier sources. Because of sequential control dependencies in the layout with buffer places, further experiments for sequential supply processes with different layouts forms have to be assessed. KW - Förderanlage KW - Sortieranlage KW - Materialflusssteuerung KW - Transportbehälter KW - Simulation Y1 - 2017 UR - http://www.asim-fachtagung-spl.de/asim2017/papers/Proof_124_Forstner.pdf SP - 489 EP - 498 ER - TY - CHAP A1 - Selmair, Maximilian A1 - Hanfeld, Marc A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Exploring Opportunities BT - Optimizing Production Planning by Factoring in Energy Procurement and Trading Options T2 - Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors N2 - Motivated by the increasing share of renewable energy in the markets for energy commodities, this study has evaluated the potential for optimizing production planning by taking into account disposable options for procuring energy, in this case electricity. For this purpose, a material flow simulation study extended by an electricity price simulation has been executed to examine possible cost scenarios. Our findings support the notion of a potential for further research in new optimization models involving energy procurement as well as energy trading options KW - Materialflussplanung KW - Energiebedarf KW - Optimierung KW - Simulation Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-2007 VL - 27 IS - 2 SP - 97 EP - 103 ER - TY - JOUR A1 - Janssen, Larissa A1 - Diabat, Ali A1 - Sauer, Jürgen A1 - Herrmann, Frank T1 - A stochastic micro-periodic age-based inventory replenishment policy for perishable goods JF - Transportation Research Part E: Logistics and Transportation N2 - In this paper, we propose a micro-periodic inventory replenishment policy for quickly perishable goods with fixed and known lifetime of items, deterministic lead time, fixed given order cycle, mixed issuing policies (FIFO and LIFO), age-based stock, imperfect items and target customer service level under random demand. The inventory policy is based on time of day (morning, midday, afternoon or evening). The results of our simulation study show that the proposed micro-periodic inventory policy leads to waste reduction of 66% as well as a partial decrease in cost compared to inventory policy with planning on a daily basis. KW - Frischware KW - Bestandsmanagement KW - Bestellmengenplanung KW - Stochastisches Modell KW - Inventory KW - Micro-periodic KW - Perishable goods KW - Stochastic demand KW - Waste reduction KW - Simulation study KW - Simulation Y1 - 2018 U6 - https://doi.org/10.1016/j.tre.2018.08.009 VL - 118 IS - October SP - 445 EP - 465 PB - Elsevier ER - TY - BOOK A1 - Claus, Thorsten A1 - Herrmann, Frank A1 - Teich, Enrico T1 - Kostensimulation BT - Grundlagen, Forschungsansätze, Anwendungsbeispiele KW - Kostenanalyse KW - Simulation Y1 - 2019 SN - 978-3-658-25167-3 U6 - https://doi.org/10.1007/978-3-658-25168-0 PB - Springer Gabler CY - Wiesbaden ER -