Title :
A fuzzy logic based decision support system to forecast the yield of Jatropha in cultivable wastelands
Author :
Srinivasan, S.P. ; Malliga, P. ; Nirmalraj, J.
Author_Institution :
Dept. of Ind. Eng., Anna Univ., Chennai, India
Abstract :
The world economy runs on fossil fuels and the demand for it is increasing at an exponential level. This led to the quest for alternative sources of energy that can replace fossil fuel dependence. Bio-fuels are one such alternative for the international community. Production of bio-fuel from `Jatropha curcas´ plant has received much attention in India. In this paper the bio-fuel generation from Jatropha Curcas by optimal usage of cultivable wastelands using fuzzy logic decision support system has been discussed. The uncertainty lies in the Jatropha seed production due to some uncontrolled parameters. ARIMA model have been used to capture the time series behavior of the data, to provide an adequate basis for optimizing the yield pattern of Jatropha using fuzzy logic and finding the cultivable wasteland for Jatropha in each and every district of Tamilnadu. Apart from collecting the Jatropha seeds and oil and storing them at a place can be a logistical hurdle in the supply chain network. This paper also aims at developing a decision support system to locate the optimum facilities within Tamil Nadu to store the Jatropha seeds and/or Jatropha oil produced and to distribute them to the next level of the supply chain.
Keywords :
agricultural engineering; autoregressive moving average processes; biofuel; decision support systems; fuzzy logic; time series; ARIMA model; Jatropha curcas plant; Jatropha yield forecast; biofuel production; cultivable wastelands; decision support system; fuzzy logic; supply chain network; time series behavior; Crops; Decision support systems; Fossil fuels; Fuel economy; Fuzzy logic; Petroleum; Production; Soil; Supply chains; Temperature; ARIMA; Decision Support System; Fuzzy Logic; Jatropha;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344649