Ericsson has produced a case study modelling the emissions savings that Turkish mobile operator Avea Mobile could make by using mobile location-based services with its its field force management. The results are a good demonstrate of the green enabling potential of ICT.
Avea Mobile is a mobile operator in Turkey with a nationwide customer base of 11.6 million and offering services to 97% of Turkey’s population through its next generation network.
The case study is is based on Avea Mobile having around 140 active business customers with around 1400 subscribed employees. In the original Business As Usual (BAU) case, system engineers are sent out by car to various locations to perform service tasks. As and when that job is done they become ready for new assignments. Typically the next task would be scheduled according to its priority, which could mean a long drive, since the service centre is not aware of where the engineer is or the address of the customer. There may be other engineers who could get there more quickly.
The objective of the new system was to use a Mobile Positioning System, a Geographic Information System (GIS) and content and application middleware to locate employees on the map and choose the nearest one to the location of the task.
There are a number of assumptions built into the assessment, but the bottom line is that Ericsson found that through using location-based services there is a potential to reduce CO2e emissions by up to 510 kg CO2e per subscriber per year while only adding 5 kg of CO2e per subscriber per year for the service system itself. The potential reduction ratio over a 20 year period could be 1:100 (depending on whether and how the infrastructure is included).
The absolute reduction is about 710 tonnes CO2e per year if applied to Avea Mobile customers with a total of around
1400 subscribed employees.
It’s a neat demonstration of how green IT can make a dramatic difference in emissions reductions in logistics. There are no cost figures included in the survey, but whatever the cost was it would have been significantly reduced by the saving in employee travel time, fuel costs and wear and tear on vehicles.