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This research was conducted at the biggest instant noodle manufacturing company in South East Asia. In the process of producing instant noodle, there is inability to reach the target number of production, this is due to quality factor and waste in the use of raw material. Research uses lean six SIGMA method. In the defi ne phase, the process of identifi ca-tion of waste is carried out by making Value Stream Mapping (VSM) and Waste Assessment Model (WAM) to fi nd out the dominant waste. At the measure phase, the CTQ is decided and calculates the SIGMA level. In the analyze phase, analysis is done by using Value Stream Analysis Tools (VALSAT),determining the type of dominant defect through the Pareto diagram and knowing the causes of defects with fi shbone diagram. In the improve phase, improvement is made based on the highest Risk Priority Number (RPN) value that is known through the FMEA method. At the control phase, the handle process is carried out so that repairs are carried out continuously. The research fi nds the highest waste weight is due to defective products of 25.03%, SIGMA value of 4.75, and activities that gives value added (VA) had the highest percentage of 71.31%.The conclusion of this research is the improvement recommendations that is given to reduce the cause of failure of cutter of label machine cuts body label on the type of failure of the label sealer cutting process is not suitable with standard. The improvement step is to close the distance up between the conveyor and the conveyor table in the wrapping area This study aims to overview the ability of ventilated blades to improve the performance of the Savonius rotor based on CFD simulation. Rotor performance is analyzed by static torque, pressure profi le, a airfl ow profi le and vortex area.
Tannady et al. (Tue,) studied this question.