Figure 1: New Model dialog box Click Finish and the window opens to the agent Main where you will begin to create the model. The dialog box will display the New Model properties, java package name, location, model name, and units. Select file/new/model on the toolbar and enter AirportDelivery. Create an optimization experiment to establish the optimal number of trucks with a utilization target of the maximum value of 85%. Build the manufacturer s logic including order processing, truck loading and unloading, delivery receipt notification and truck return. Establish the process of ordering new parts and communicate/transfer the orders between the airports and manufacturer agents. The routes will automatically be generated from the same GIS functionality. Set locations of the airports and manufacturer using the GIS capabilities of AnyLogic. Model Framework For this simulation we will perform the following steps: 1. Once the truck is loaded, the order is delivered to the requesting airport and unloaded and sent back to the Manufacturer. After receipt of an order, loading the truck is simulated with a process logic embedded within the manufacturing agent. These orders are represented as agents and communicate between the Airport and the Manufacturer. Orders are created by the airports and received by the manufacturer. The model utilizes the integrated GIS functionality to locate the agents in the model as well as automatically determine the routes based on the roads from the GIS provider. The model is comprised of several agents consisting of a network of regional airports, a single manufacturer, a fleet of delivery trucks, and orders. We also extend the simulation to include an optimization experiment to determine the ideal number of vehicles required to maintain a targeted fleet utilization. Problem Definition The webinar objectives is a step-by-step process of building a simulation model of an aircraft part manufacturer servicing a network of regional airports.
1 Delivery Fleet Optimization with GIS Functionality Webinar Tom Baggio 1.
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