Have a variable that is zeroed out at the beginning of each time interval of interest Is accumulated across that interval of interest Is stored away at the end of that interval interest Option2 Have a variable that gives the cumulative number of events that have occurred Subtract off the value of that variable from the beginning of the interval and store away the differenceĪd-Hoc Exports from variables Manual copies from visible datasets Export to files Writing to console Export to databases Dataset archiving Capturing images of graphsĪ convenient mechanism is to periodically output data using events (e.g. stocks) States of agents Summaries of model state We informally term this a “trajectory file” Trajectory recording is supported in higher AnyLogic versions All versions of AnyLogic allow for Definition of DataSets that record recent values of parameters Statistics summarizing model state Reporting on values of data sets as a graph or tableĪggregated (“Stocks”) or disaggregated Changes in model state (flow statistics) History Model version (model structure) Assumptions (parameter values) InterventionsĤ Common Ways to Accumulate Flow Statistics Nathaniel Osgood Agent-Based Modeling Bootcamp for Health Researchers August 19-24, 2013Ģ Recording of Results A frequent modeler need is to record some components of model state over time State variables (e.g. Dmitry Ivanov.1 Collecting, Outputting & Inputting Data in AnyLogic
His practical expertise includes many projects on the application of operations research and process optimization methods for operations design, logistics, scheduling and supply chain optimization.įor questions on educational usage of anyLogistix, contact Dr. Ivanov was engaged in industry and consulting, especially on process optimization in manufacturing and logistics, as well as enterprise resource planning (ERP) systems. For over 15 years, he has taught courses in operations management, production and supply management, logistics, management information systems, and strategic management at undergraduate, master's, PhD and executive MBA levels at universities in Germany, Russia, UK, US and China.īefore he became an academic, Dr. Dmitry Ivanov is professor of Supply Chain Management and Operations at Berlin School of Economics and Law (HWR). Included with the book are the Excel scenarios used in the examples. The book is focused on management issues and uses clear terminology to describe the model development processes.
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It also discusses how to use these models and their simulation and optimization results to improve management decision-making. It presents simulation and optimization examples by describing how to develop and build models and evaluate KPIs. This guide groups the content into three parts that correspond to three basic process structures: two-stage, three-stage and four-stage supply chains - as well as supply chain-based risk management. Readers will focus on management decision analysis and learn to use key performance indicators (KPIs) for operational, customer and financial performance measurement and decision-making.
This guide explains how to use anyLogistix to create supply chain models, conduct experiments and analyze the results.
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Free Supply Chain Textbook Featuring anyLogistixĪnyLogistix is an easy-to-understand tool for students and professionals to address a wide range of supply chain management problems.
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