As price of fuel continues to rise the A1 Company realizes the importance of minimizing fuel costs and developing greener fleet operating strategies. In the spring of 2011 A1’s CEO appointed the operations supervisor to develop a long term strategy towards reducing overall fuel costs in their mobile fleets.
As fuel prices continue to rise the A1 Company realizes the importance of minimizing fuel costs and developing greener fleet operating strategies. In the spring of 2011 A1’s CEO appointed the operations supervisor to develop a long term strategy towards reducing overall fuel costs in their mobile fleets.
After factoring in the initial hardware investment and ongoing service, fuel savings from reduced vehicle idling helped the company realize its investment in less then two years. The implemented system using the SymBot data was able to reduce idle times by 80% resulting in an annual reduction of 12,738 liters of diesel fuel over a 298 operating days or 42.7 liters per day. With diesel prices at an average of $1.10 per liter, the savings from fuel in idle reduction is approximately $14,000 annually.
Over the same 298 yearly operating days, the carbon dioxide (CO2) emissions reduced from operations amounted to 33, 755 kg of CO2; saving the organization over $1000 a year in CO2 tax alone.
By year three, the company could expect to see even more savings due to reduced vehicle maintenance costs, realized driver compliance, and other operational efficiencies.
The system is based off the use of Symboticware’s SymBot, and SymView suite of products integrated into Pi Systems for viewing and diagnostics.
The SymBot is used in monitoring applications for Productivity Gains, Risk Mitigation, Energy Savings and as a platform for new development projects where real-time data collection is crucial for making better and informed decisions. The SymBot is a ruggedized hardware/software device that acts as a hub connected to various OEM equipment to, collect, format, store and forward from remote locations, such as underground mines or remote environmental stations.