Statistical Analysis Carbon Footprint in Supply Chain Management

被引:0
|
作者
Fauzy, Akhmad [1 ]
Saleh, Chairul [2 ]
Setiawan, Nashrullah [2 ]
Hakim, Luqman [3 ]
机构
[1] Islamic Univ Indonesia, Fac Math & Nat Sci, Dept Stat, Yogyakarta, Indonesia
[2] Islamic Univ Indonesia, Dept Ind Engn, Yogyakarta, Indonesia
[3] Islamic Univ Indonesia, Dept Environm Engn, Yogyakarta, Indonesia
关键词
CO2; Emissions; Supply Chain; IPCC; 2006; Multiple Linear Regression;
D O I
10.1166/asl.2015.6470
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study presents the measurement of CO2 emissions resulting from the activities of the supply chain in the sugar industry based on energy consumption. There are six activities in the supply chain of sugar industry that have the potential to emit CO2 emissions are cane transport activity, plastic sacks transportation, the use of sugar cane trucks, combustion in the boiler machine, the use of electricity, and distribution of sugar to consumers. A number of variables that affect CO2 expenditure such as sugar cane milling machine, boiler and engine efficiency lorry mileage sugar has a significant impact. Data measurements were performed from 2009 through 2013, using the IPCC 2006 guidelines. Statistical analysis with multiple linear regression model of CO2 emissions expenditure give R-2 value of 0,983. Results expenditure carbon emissions since 2009 to 2013 respectively (107.064, 123.710, 97.164, 111.999 and 132.618) tons of CO2.
引用
收藏
页码:3205 / 3209
页数:5
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