The digital revolution has changed communications, and with it, the operations and finances of the U.S. Postal Service. It also has brought deep changes in the way we design networks and analyze systems. Many organizations rely on mathematical modeling to test ideas before they become operational, conserving money and time. The Postal Service, facing limited capital and resources, has also adopted this practice. It is discovering how important these tools are for assessing strategies for designing the future mail network.
The Office of Inspector General has explored some of the main components of the postal supply chain – retail, mail processing and transportation, and delivery – using a systems modeling approach. This approach has allowed the OIG to use objective methods to determine how the network could be redesigned to meet current needs and future demands.
This research also helps us to understand some of the challenges in developing information-based decision models for the Postal Service. A primary challenge in any modeling effort is collecting the necessary information. Without this data, the model cannot fully assess the efficiency of the operations it is modeling, and develop an optimal network solution. Postal information systems can be a complex array of the hundreds of highly varied and specialized information systems that are often developed and maintained under separate contracts. Simplifying this landscape also could enable more insightful analyses to better guide decision makers.
As the Postal Service considers how it can best serve the public through its products and services, modeling efforts can help it to evaluate different proposals for change. As we develop better efficiency standards with more rich data sources, we can not only better evaluate the efficiency of operations and system design, but we can better explore how operations may be changed to meet the needs of new environments.