AnyLogic 7 in Three Days Japanese Edition THIRD EDITION, with a new discrete-event model of a small job shop and demonstration of the built-in AnyLogic database. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. 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. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic 7. All the examples have been updated to conform to the latest version of the software, AnyLogic 7.3.4. CONTENTS: Modeling and simulation modeling AGENT-BASED MODELING MARKET MODEL Phase 1. Creating the agent population Phase 2. Defining a consumer behavior Phase 3. Adding a chart to visualize the model output Phase 4. Adding word of mouth effect Phase 5. Considering product discards Phase 6. Considering delivery time Phase 7. Simulating consumer impatience Phase 8. Comparing model runs with different parameter values SYSTEM DYNAMICS MODELING SEIR MODEL Phase 1. Creating a stock and flow diagram Phase 2. Adding a plot to visualize dynamics Phase 3. Parameter variation experiment Phase 4. Calibration experiment DISCRETE-EVENT MODELING WITH ANYLOGIC JOB SHOP MODEL Phase 1. Creating a simple model Phase 2. Adding resources Phase 3. Creating 3D animation Phase 4. Modeling pallet delivery by trucks PEDESTRIAN MODELING AIRPORT MODEL Phase 1. Defining the simple pedestrian flow Phase 2. Drawing 3D animation Phase 3. Adding security checkpoints Phase 4. Adding check-in facilities Phase 5. Defining the boarding logic Phase 6. Setting up flights from MS Excel spreadsheet
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AnyLogic 7 in Three Days Japanese Edition THIRD EDITION, with a new discrete-event model of a small job shop and demonstration of the built-in AnyLogic database. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. 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. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic 7. All the examples have been updated to conform to the latest version of the software, AnyLogic 7.3.4. CONTENTS: Modeling and simulation modeling AGENT-BASED MODELING MARKET MODEL Phase 1. Creating the agent population Phase 2. Defining a consumer behavior Phase 3. Adding a chart to visualize the model output Phase 4. Adding word of mouth effect Phase 5. Considering product discards Phase 6. Considering delivery time Phase 7. Simulating consumer impatience Phase 8. Comparing model runs with different parameter values SYSTEM DYNAMICS MODELING SEIR MODEL Phase 1. Creating a stock and flow diagram Phase 2. Adding a plot to visualize dynamics Phase 3. Parameter variation experiment Phase 4. Calibration experiment DISCRETE-EVENT MODELING WITH ANYLOGIC JOB SHOP MODEL Phase 1. Creating a simple model Phase 2. Adding resources Phase 3. Creating 3D animation Phase 4. Modeling pallet delivery by trucks PEDESTRIAN MODELING AIRPORT MODEL Phase 1. Defining the simple pedestrian flow Phase 2. Drawing 3D animation Phase 3. Adding security checkpoints Phase 4. Adding check-in facilities Phase 5. Defining the boarding logic Phase 6. Setting up flights from MS Excel spreadsheet
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