Case: GIS Determines Better Route Planning and Minimizes Fleet Driving Distances
1. General Summary
DHL was an innovative leader in the worldwide shipping business for many years. The company joined in Deutsche Post which is modern privatized German mail service. Deutsche Post made Airbone Express to join thier company and integrated Airbone Express in to DHL.By this way, Deutsche Post created DHL Express in 2003.
DHL Express is a large company, which employs 550.000 people and manages the shipment packages and goods in 220 countries and territories.
In this case, DHL Express seeks for an improvement focused on Pickup and Delivery System in Sweden. Due to DHL Express’s system in the case, drivers of fleet were spending average 30 minutes of their shift for adjustments, which is an valuable time for a large company such as DHL Express.
2. Problem of The Company
DHL Express always on lookout for improving their business. In the case, the company tackled the challenge of streamlining their Pickup and Delivery system in Sweden.
In sweden DHL express
Operates 1.400 vehicles.
PuD represents 40% of the total cost of DHL’s daily operations.
Every morning, DHL drivers were spending 30 minutes of their time on tour sorting goods that needed to be delivered. At that time packages were being sorted by postal codes, resulting in piles of shipments shared by four or five vehicles.Drivers were speding time looking though piles, then they were moving the packages to their gates. Which means,
Long searching time
Long loading time
Hence, too much room left for human error.
3. Solution
DHL Express choice was ESRI Geographic Information System software to improve sorting and sequincing in the loading area. Software is using a mainframe enviroment. By this way, DHL Express will be able to allocate resources through the Web to each terminal.
Staff members will be allowed to use ArcGIS (GIS