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

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