Assessment of Carbon Footprint and Economic Evaluation Schedule of Agriculture Workland by Theoretical Queuing

Objectives: To study the carbon footprints in agricultural work and to find ways to improve the performance process in order to minimise the greenhouse emissions in environment management. Methods/Statistical Analysis: In the first part, a methodology is developed by which an optimal ratio between the size of shovels and trucks is determined. The second part gives the fundamentals of the queuing theory and its application in analysing shovel and trucks. Using the above theory, the optimal truck fleet size in actual conditions can be estimated. Minimal operating cost of the working system (shovels trucks) represents the basic requirement of the analysed process. The methodology was validated on Caterpillar front-shovel - truck combinations. This paper shares lessons learned from the process of creating a simulation model and implementing it in the visual framework. Findings: Addition of equipments/modern tools in the works increases the performance of the systems and so the carbon footprint; using two independent variables analyzed by queuing theory, the final score determinate the relationship between delay reduction and greenhouse emissions. Mainly two variables data use to determinate greenhouse emissions, first one is equipment numbers and Bucket Shovel size. Increasing machine system of works permit gain in delay 300% time by shovel bucket 1.25 m3, this increase is associated with 30% over the cost. Comparison with other system with shovel bucket 2.40 m3 is already a 180% time less performance and 67% more economic. Definitely the economic greenhouse emission, by one loader shovel bucket 2.40 m³ is 53.47% more performance than the more fast system composed by 3 loaders with shovel bucket 1.25. Using bigger bucket shelf capacity is a better choice than increasing the number of equipments. Application/Improvements: Evaluation of equipment systems where resources can be saved and the work process can be reduced can proportionately reduce carbon emissions. Trace greenhouse emissions in the agriculture works in Africa has an important consequence of global and environmental process.