For example, facilities can be added or removed using just a database entry. Furthermore, thanks to the design, the model is easy to scale. The engineering team chose AnyLogic because of its in-built libraries, which help speed up model development, and its customizability, which allows for the accurate modeling of specific functionalities. The model could be configured with historical data for forecasting or with test scenarios for risk analysis and planning. With the help of a simulation model of the parcel network, network design experts would be able to test their initial designs, identify bottlenecks, and generate better solutions.Ī simulation model of the parcel network provided a platform for testing and analysis. This work was previously the job of a logistics network design expert alone but as the delivery network had scaled, a logistics planning tool was needed to support decision making. Direct lane additions (connections between sites).Site consolidation (opening and closing sites).The simulation-based logistics modeling software developed by the innovation unit's engineers has helped deliver significant savings across key metrics, such as parcel cycle time, truck utilization, and daily throughput.įocusing on the delivery and return service of their operations in the United States of America, engineers sought to better understand four key areas of logistics network analysis: ![]() The Pitney Bowes Innovation unit is a global development organization that supports the creation of secure best-in-class products based on agile design and data science. ![]() The company serves approximately 1 million customers and helps sort and process 15 billion pieces of mail annually. Pitney Bowes is a technology company based in Stamford, Connecticut, that specializes in services related to mailing and shipping. ![]() Analysts at Pitney Bowes wanted a parcel logistics network analysis tool to support decision making and help improve network performance in North America.
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