![]() ![]() 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. 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. ![]() 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. The book is structured around four examples: a model of a consumer market, an epidemic model, a model of a small job shop, and an airport model. Specifically in the example presented the send () function will schedule message delivery the next instance after the completion of the current function. The interface and some features in the current version of the product may differ. As a general comment on your question, within AnyLogic environment sending messages is alway preferable to directly accessing variable and parameters of another agent. So if I understood correctly Im replacing all queues, before an assembler element, with as many wait blocks (one for each necessary object) and then Ill do the check whenever a new agent enters in one of the wait blocks and then Ill free all the necessary object when the match succedeed. The book uses examples and illustrations based on anyLogistix version 2.
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