Simul. Notes Eur.最新文献

{"title":"Simulation and Optimization of a Sequenced Mixed-Model Line - Case Study of an Assembly of Gantry Car Washes","authors":"L. März, Jörg Mielke","doi":"10.11128/sne.30.tn.10534","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10534","url":null,"abstract":". In car wash machine manufacturing, the assembly line is characterized by product diversity and workforce flexibility. The main challenge of operational control is to schedule assembly tasks to workstations by taking workforce availability and qualification into consideration. In order to help planners to better analyse, plan, and evaluate the assembly line, in this paper, we develop a framework in which simulation and optimization are ap-plied. Particularly, a simulation-based optimization approach is used to reduce excessive overload peaks for workstations. At last, an example of a solution for our in-dustrial partner is given to show the feasibility and the ap-plicability of our framework.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133405937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation-based Assessment of Grocery Shopping in Urban Areas","authors":"M. Landwehr, Maik Trott, C. Viebahn","doi":"10.11128/sne.30.tn.10533","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10533","url":null,"abstract":". This study proposes a simulation approach for modelling, assessing, and quantifying travel distances caused by stationary grocery shopping activities as well as e-grocery deliveries on the last mile. Utilizing an integrated emission calculation model, the simulated travel values are converted into relevant emission output factors to assess the individual impact of e-grocery deliveries compared to individual shopping trips by private consumers for different scenarios. While e-grocery does not yield an emission saving potential for low penetration rates less than 20 %, up to 41.5 % of the total emission outputs can be economized when home deliveries are employed for a moderate share of the urban population.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115195228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaheuristic Simulation-based Production Planning for Energy Efficiency: A Case Study","authors":"Bernhard Heinzl, W. Kastner","doi":"10.11128/sne.30.tn.10523","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10523","url":null,"abstract":"Modern industrial production planning and control (PPC) systems are responsible for supporting planning decisions on how to optimally produce a given set of products while minimizing costs and retaining production constraints, such as delivery tardiness or offtimes. In recent years, more and more attention has also been paid on energy efficiency as part of production optimization, resulting in competing optimization targets. In order to solve such complex multi-objective scheduling problems in practice, metaheuristic methods are used because of their ability to deliver acceptable solutions in feasible time. In this paper, we demonstrate the application of a General Variable Neighborhood Search (GVNS) metaheuristic on a case study of flow shop scheduling in an industrial bakery in different scenarios and study the effect of different energy prices on the planning result. The case study features a simple production line with thermal processes for baking and freezing and also incorporates the energy supply system as well as a model of the thermal building hull. The metaheuristic is combined with a hybrid discrete/continuous simulation model to evaluate the energy efficiency of different production scenarios. The hybrid simulation enables to accurately capture material and energy flow within the production in an integrated and dynamicmanner. Overall, this simulation-based optimization method is intended to support energy-aware production scheduling in practical applications. Introduction Energy efficiency in industrial production has become an important topic in recent years because of the substantial potential for energy savings in the industrial sector [1]. Energy-aware Production Planning and Control (PPC) strategies can be used to influence energy demand and energy costs during operation, for example by shifting the production of energy-intensive products to the night hours, where energy is often cheaper. However, it is not sufficient to only consider energy as an optimization goal. Instead, energy efficiency must be seen as part of a multi-objective system of production targets together with production variables such as storage costs, throughput times or delivery delays. Such multi-objective problems with complex, sometimes time-dependent constraints are hard to solve for real-world problems. Modern solutions often rely on heuristic or metaheuristic methods [2]. For evaluating the fitness of solution candidates during metaheuristic search, simulation-based methods are gaining interest because they enable to capture complexity of real-world problems including difficult dynamic interactions without the limiting assumptions many other approaches have. However, with regard to energy optimization, interdisciplinary holistic simulation models are required which include dynamic interactions across engineering domains in order to get an accurate prediction of the overall energy demand, that not only includes production machinery, but also technical buil","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128631674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Precision Conformal Map of the Unit Disk to Star-Shaped Domains","authors":"M. Holzinger","doi":"10.11128/sne.30.tn.10521","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10521","url":null,"abstract":"Having the conformal map from unit square to unit disk at hand, we ask ourselves for a way to numerically map the disk to more general domains. Once such domains are parametrized by the square, knowledge of metric quantities flows in by the derivatives of the map and simulation of PDEs on such domains can easily be achieved. One way to numerically construct the map for star-shaped regions yields over solving Theodorsen’s integral equation which establishes the boundary correspondence of angles. Focusing on highly accurate solutions, we presentMathematica test implementations and results for maps from unit disk to inverted ellipse (a), unit square (b) and onto a more general domain (c). Finally, the metric impact of the conformal map on the PDE itself is being investigated to enlighten the process of correcting spacial Finite-Difference approximations in general.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115511098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction of Complexity in Q-Learning a Robot Control for an Assembly Cell by using Multiple Agents","authors":"Georg Kunert, T. Pawletta, Sven Hartmann","doi":"10.11128/sne.30.tn.10524","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10524","url":null,"abstract":"Production systems in Industry 4.0 are characterized by a high degree of system networking and adaptability. They are often characterized by jointed-arm robots, which have a high degree of adaptation. Networking and adaptivity increase the flexibility of a system, but also the complexity of the control, which requires the use of new development methods. In this context, the Simulation-Based Control approach, a model-based design method, and the concept of Reinforcement Learning (RL) are introduced and it is shown how a task-based robot control can be learned and executed. Afterwards, the time complexity of the Q-learning method will be examined using the application example of a robot-based assembly cell with two differently flexible system configurations. It is shown that, depending on the system configuration, the time complexity of learning can be significantly reduced when using several agents. In the studied case, the complexity decreases from exponential to linear. The modified RL structure is discussed in detail.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and Simulation Using Cellular Automata","authors":"O. Ullrich, Daniel Lückerath","doi":"10.11128/sne.30.en.10526","DOIUrl":"https://doi.org/10.11128/sne.30.en.10526","url":null,"abstract":". Cellular Automata are a simple, yet powerful modeling and simulation technique, easily employed if the system to be examined consists of a set of uniform entities that are located in a neighborhood relation to each other. The simple structure and fast execution of Cellular Automata allow for very large models, their inherent parallelism enables a comparatively simple paral-lelization. This paper gives an overview on the concepts of Cellular Automata-based modeling and simulation, with a spe-cial focus on neighhorhood concepts, border types, and transition functions, and describes current applications of the paradigm in the areas of the simulation of transportation networks, additive manufacturing, as well as urban growth and development. It is aimed at students of the craft as well as practitioners who might want to take a look beyond the GUI of their modeling tools.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122781363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generating Logistic Characteristic Curves using Discrete Event Simulation and Response Surface Models","authors":"S. Kuhnt, Dominik Kirchhoff, S. Wenzel, J. Stolipin","doi":"10.11128/sne.30.tn.10522","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10522","url":null,"abstract":"Logistic Characteristic Curves (LCCs) or Logistic Operating Curves (LOCs) describe relationships between various Key Performance Indicators (KPIs) of production and logistics systems. These relationships can be qualitatively or quantitatively visualized by charts to illustrate the performance of these systems. Discrete Event Simulation (DES) allows a detailed investigation of the dynamic behavior of production and logistics systems under consideration of uncertainties and thus contributes to their planning reliability. Using simulation models and the data generated by the experiments, KPIs of the modeled systems are measured. Of course, different production and logistics systems also have several target systems whereby the individual target variables interact with each other and can, therefore, conflict. In this paper, a methodology is presented that combines DES and a statistical technique for empirical model building, namely the response surface model, to predict the behavior of production and logistics systems by using LOCs and thereby decrease the effort for experimentation by reducing the number of simulation runs.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126744475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Timed Discrete-Event Simulation of Aviation Scenarios","authors":"H. N. Van, Frédéric Boulanger, B. Wolff","doi":"10.11128/sne.30.tn.10512","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10512","url":null,"abstract":". Ensuring systems behave as they are expected is unavoidable in the context of critical environments. In the aviation industry, certification standards provide rules and pro-tocols to ensure correct maneuvers with respect to logical or timed events. These are targeted to computer-intensive systems as well as to human flight crews. In this setting, we are interested in the modeling and simulation of event-driven and time-driven behaviors at a high level. This study focuses on the TESL language [9] that provides a logical framework for timed behaviors with monitoring and testing features. In particular, we model various aviation scenarios and focus our study on fault monitoring.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges","authors":"G. Schweiger, Georg Engel, Josef-Peter Schöggl, I. Hafner, Thierry S. Nouidui, C. Gomes","doi":"10.11128/sne.30.sn.10516","DOIUrl":"https://doi.org/10.11128/sne.30.sn.10516","url":null,"abstract":"This article describes the first results of an empirical survey on co-simulation conducted with over 50 experts in this field. In the last decades, cosimulation has become an important tool to meet challenges emerging from the increasing complexity of systems and the need for efficient collaboration between experts in different disciplines. However, research on this topic has been motivated by varying fields of interest and developedwith different perspectives on application and thus lead to different definitions and emphases within this topic. The present survey aims to clarify some of these different perceptions and open research fields.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130828986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation in Wood Science: using the Process Gluing as an Example","authors":"Carina Rößler, M. Riegler","doi":"10.11128/sne.30.tn.10514","DOIUrl":"https://doi.org/10.11128/sne.30.tn.10514","url":null,"abstract":"In this paper, a mathematical model for the sub-process of gluing in the manufacturing process of particleboards is presented. The model describes the application of resin droplets onto wood particles on laboratory scale. At the moment the model and simulations are carried out for the problem considered in two dimensions. The developed mathematical model uses lattice gas cellular automata for the movement of the wood particles, and random walk for the movement of the resin droplets. Feasibility was shown with simulation results of a greatly simplified mathematical model in two dimensions. This model was developed further for a better fitting to the real process. First simulation results of this more detailed model are presented. The next step will be the specification of how validation will be performed. In future, it is planned to create a mathematical model in three dimensions.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131199280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}