An optimal layout for a coil warehouse means that each coil can be placed at a correct cradle. As coils come in many different sizes, cradle positioning determines where which coils can be placed. In the warehouse, they are usually placed on cradles by automatic cranes, but can alternatively also be stored on top of one another (stacking). After steel coils are produced and cooled, they are transported to a warehouse to await transport to the end customer. Systems Navigator created a simulation model to analyze and optimize the logistics of a new coil warehouse for a large steel manufacturer. Systems Navigator is proud to present two compelling case studies, where with the help of our advanced discrete event simulation technology, our clients have been able to save money, increase customer satisfaction and reduce risk.Ĭase study 1: New coil warehouse in the steel industry The concept of rapid modeling and integrated support of simulation-based optimization have facilitated FACTS Analyzer to be a unique and effective software for production systems analysis and improvement. It is also designed with the principle of rapid modeling to aid the users to build simulation models without the need of any programming skills. It features integrated support of simulation-based optimization, specifically using multi-objective optimization algorithms, to facilitate managers/engineers to run advanced optimizations to seek the optimal combinations of design variables to support more confident decision making for the design and improvement of production systems. PRODUCTION SYSTEMS ANALYSIS AND OPTIMIZATION USING FACTS ANALYZERįactory Conceptual design Tools using Simulation (FACTS) Analyzer is a discrete-event simulation software developed in Sweden with the objective to promote manufacturing decision makers to play the role of simulation analysts, particularly in the early, conceptual system design phase. The message is, to summarize, that the potential of simulation is hugely underutilized! And the major obstacle is the profession itself! Do you agree? Or not? Please help us make this a worthwhile workshop! There will be a panel, to trigger debate and discussions. There will be interactivity, through questions or “exercises”. Discussions and questions – also during presentations – are encouraged. The format of the workshop will not be rigidly fixed, but will rather consist of a number of “components”, that we together make something out of! So the output is an effect of the dynamics in the 2-hour workshop system and the input from the participants – a little bit like with simulation! There will be a few presentations to start with, to set the platform – and hopefully inspire. And in heading for the future we should learn from this! A lot has improved and evolved, but not by necessity everything. But even more so is how we think related to simulation, how we use related competence (or don’t), what demands we put on the software platforms (and don’t), how we work in the projects (and don’t), and what issues we address (and don’t) – the “philosophy of simulation”! In the workshop, experiences from “the past” are included. And this is of course relevant and important. The aim of this “workshop” is partly to inspire, partly to provoke, partly to challenge! There is a tendency to focus on all the technical developments when discussing simulation and considering what will happen in the future. Benjamin Schumann (Founder, Benjamin Schumann Consulting), Stefan Bengtsson Heading for the future by glancing at the past The evaluation results show that AnyLogic tools are of better quality than others, and this is due to the attractiveness of the tool from the user's point of view and less effort to develop an agent-based application compared to other tools.The philosophy of simulation – and how our view of simulation shapes our models To fill this research gap, in this paper, five of the most widely used agent-based modeling and simulation tools including AnyLogic, NetLogo, Repast, GAMA, and MASON were compared and evaluated based on the well-known ISO 25010 standard, regarding the quality in use, by Goal-Question-Metric (GQM) method. However, none of the studies are quantitatively performed based on a well-known standard framework. So far, several studies have reviewed and compared agent-based modeling and simulation tools from different aspects. Due to the key role and importance of using agent-based modeling and simulation tools in various applications, such as urban management and planning, social networks, financial markets, traffic flows, and crisis management, it is worthwhile to evaluate and quantitatively compare these tools based on a well-defined standard framework.
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