{"title":"Neither push nor pull: state-feedback control for production systems","authors":"G. Mušič, J. K. Sagawa","doi":"10.46354/i3m.2019.emss.040","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.040","url":null,"abstract":"Operations management techniques can benefit from integration of control theory methods when dealing with production and supply chain networks dynamics. In this context, we revisit a bond-graph based mathematical model that is able to capture the dynamics of multi-workstation production systems, and propose a state feedback control design to maintain work in process at desired levels. The closed loop performance of this real case inspired model was explored and simulations with the introduction of a disturbance in the production system were carried out. The proposed control design results in a disturbance-oriented behaviour that has advantages over pure push or pull systems commonly used in Production Planning and Control (PPC). In the given case, the results revealed that the model can provide prescriptive capacity adjustments and can help to define appropriate reference levels for the work in process in dynamic production environments.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"24 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539606","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}
António A. C. Vieira, L. Dias, M. Y. Santos, G. Pereira, J.A. Oliveira
{"title":"A ranking of the most known freeware and open source discrete-event simulation tools","authors":"António A. C. Vieira, L. Dias, M. Y. Santos, G. Pereira, J.A. Oliveira","doi":"10.46354/i3m.2019.emss.029","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.029","url":null,"abstract":"","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127560775","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":"Modelling and simulation tools for integrating forward and reverse logistics: a literature review","authors":"G. P. Agnusdei, V. Elia, M. Gnoni, F. Tornese","doi":"10.46354/i3m.2019.emss.045","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.045","url":null,"abstract":"The scientific and technical interest towards sustainability issues is increasing in the industrial sector; thus, closed-loop supply chains are getting more and more diffused. As recycling and remanufacturing strategies are becoming a common practice, the importance of reverse logistics is nowadays increasing. Practitioners need to face with both strategic and operational level decisions related to the coordination of direct and reverse logistic flows. While several reviews are available on reverse logistics and closed-loop supply chains, a summary of scientific literature on integrated forward and reverse logistics is still missing. This paper proposes a review of the literature focused on how to integrate forward and reverse logistics in the industrial sector. The main purpose is to identify advantages and criticalities of current tools highlighted by researchers on this topic, with particular attention to modelling and simulation tools. A critical analysis on the benefits and challenges of the main methods identified is proposed. A discussion about potentialities provided by simulation modelling is also discussed.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460091","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":"Utilization of computer simulation for detection non-standard situations within single-track lines","authors":"J. Fikejz, Jan Merta","doi":"10.46354/i3m.2019.emss.049","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.049","url":null,"abstract":"This article deals with the use of computer simulation for induction and detection of non-standard/crisis situations within single-track railways. First, attention is paid to the collection and evaluation of historical data, which are then used for the designed simulator. The article then focuses on the design of a simulation tool for inducing non-standard/crisis situations within a monitored segment of a railway network. Simulation tool is then used for selected experiments.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123239932","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":"Fast approximations by machine learning: predicting the energy of dimers using convolutional neural networks","authors":"D. Hennessey, M. Klobukowski, P. Lu","doi":"10.46354/i3m.2019.emss.031","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.031","url":null,"abstract":"We introduce fast approximations by machine learning (FAML) to compute the energy of molecular systems. FAML can be six times faster than a traditional quantum chemistry approach for molecular geometry optimisation, at least for a simple dimer. Hardware accelerators for machine learning (ML) can further improve FAML’s performance. Since the quantum chemistry calculations show poor algorithmic scaling, faster methods that produce a similar level of accuracy to the more rigorous level of quantum theory are important. As a FAML proof-of-concept, we use a convolutional neural network (CNN) to make energy predictions on the F2 molecular dimer system. Training data for the CNN is computed using a quantum chemistry application (i.e., GAMESS) and represented as an image. Using fivefold cross-validation, we find that the predictions made by the CNN provide a good prediction to the theoretical calculations in a fraction of the time.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134234091","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":"Demand forecasting in an automotive company: an artificial neural network approach","authors":"L. Tebaldi, S. Pindari, E. Bottani","doi":"10.46354/i3m.2019.emss.024","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.024","url":null,"abstract":"This work proposes the development of two Artificial Neural Network (ANN) models for demand forecasting in the automotive industry. The networks are involved for predicting the demand of eighteen car components for a company based in the North of Italy. Statistical Package for Social Sciences (SPSS) was used as software for developing the ANNs, by setting the automatic architecture selection. The structure of the two ANN models is similar; they only differ for the partitioning of the historical data provided by the company itself respectively into training, testing and the optional holdout phases: in the first, which is the one returning the best result, data are simply assigned according to a pre-fixed percentage, while in the second a partitioning variable is introduced.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131399446","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}
Viktoria A. Hauder, A. Beham, S. Raggl, M. Affenzeller
{"title":"Multi-objective optimization for a scheduling problem in the steel industry","authors":"Viktoria A. Hauder, A. Beham, S. Raggl, M. Affenzeller","doi":"10.46354/i3m.2019.emss.035","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.035","url":null,"abstract":"","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133848853","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":"Evaluation of a Self-Organizing Migrating Algorithm applied to discrete event simulation optimization","authors":"P. Raška, Zdeněk Ulrych","doi":"10.46354/i3m.2019.emss.047","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.047","url":null,"abstract":"The paper deals with testing and evaluation of a modified Self-Organizing Migrating Algorithm (SOMA) applied to a discrete event simulation model reflecting the supply of production lines using automated guided vehicles. The SOMA heuristic optimization method is derived from the Differential Evolution method. We test all the SOMA strategies under the same conditions of the simulation experiments - the same termination criteria, number of repetitions in the optimization experiments, and the same setting of the basic parameters of the SOMA. We propose a methodology using different evaluation criteria to analyse the different SOMA strategies behaviour of finding the optimum of an objective function specified for each discrete event simulation model.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121346828","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":"Sustainable technologies for health education in Low and Middle Income Countries","authors":"E. Ferrara, S. Dellepiane, M. Frascio","doi":"10.46354/i3m.2019.emss.032","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.032","url":null,"abstract":"Sustainable technologies and collaborative Learning Management Systems (LMS) are investigated according to the Sustainable Development Goals (SDGs), as possible ways to improve, towards distance learning systems, education and towards it, social empowerment and development. Web -based systems, customized for academic teaching in medicine and surgery field, could help the development of cooperation among universities as well as research empowerment and exchange, useful for all the involved stakeholders. Different uses and approaches to the technological solution allow different participants to model and interact with the project despite also difficulties and environmental gaps that could occur in some LMIC.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128918431","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}
M. Hassan, S. P. Kalamraju, S. Dangeti, S. Pudipeddi, E. Williams
{"title":"Simulation improves efficiency and quality in shoe manufacturing","authors":"M. Hassan, S. P. Kalamraju, S. Dangeti, S. Pudipeddi, E. Williams","doi":"10.46354/i3m.2019.emss.33","DOIUrl":"https://doi.org/10.46354/i3m.2019.emss.33","url":null,"abstract":"Discrete-event process simulation now has a long and distinguished history of supporting the improvement of manufacturing processes. From those origins, it has expanded its applicability to supply chains, service industries, health care, and public transport. In manufacturing contexts, simulation modeling and analysis regularly helps fine-tune the trade-off between high inventory versus danger of stockout, improve and balance machine utilization, schedule workers more effectively, and improve performance metrics such as average and maximum times in queue and average and maximum length of queues. In the present work, the authors describe a successful application of simulation to the manufacture of footwear. The original manufacturing process was beset by problems including low throughput, high headcount, overly high or low machine utilization, unduly large rejection rates, and ergonomic concerns. The simulation and analysis project described in this paper guided significant improvements, including doubling the output while reducing worker headcount to two-thirds of its initial value.","PeriodicalId":253381,"journal":{"name":"THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132771558","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}