This abstract discussed the implementation of speech recognition applications to control the on-off electrical device of speech. The work is divided into two modes. Offline mode and online mode. To use voice commands to turn on-off electrical device. Which the words sound as a statement. The speech sounds in offline mode is saved in SOPARE voice and speech mode are saved online in Google Assistant via the microphone. Then process the Raspberry pi 3 board to send data to the wireless transceiver module to control the power on-off. From testing the control system for opening and closing electrical devices with sound it was found that the sound test in the offline mode of the power-on-off control system with sound the accuracy of 96 percent of the voice command and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. Sound tests in the online mode of the power-on-off control system with sound the accuracy of 8 7 percent voice commands and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. The power-on-off control system with sound. Can be used to effectively control the opening and closing of electrical equipment. Only the user speaks the voice commands as needed and can immediately turn on-off the electrical equipment. Helps reduce steps and shorten the time of use making it more convenient

This research aims to increasing efficiency in production and eliminate the problem of insufficient production capacity with respect to customer demand for electrical appliance factory by applying the line balancing method. Thus the study then developed two problem-solving approaches. The first approach is a method by which a firm applies the line balancing concept and ECRS technique (Eliminate Combine Rearrange and Simplify). On the contrary the second approach is required an investment in testing machine with value of 1000000 baht in order to support sufficient production capacity to meet customer demand. Also ECRS method is used to accomplish this process. Based on the results the first approach provided the production line efficiency improvement representing of 82.59% and reduced the labor cost of 277220 baht per year. However the loss of commercial opportunity has remained the same of 6336000 baht per year. Accordingly the second approach demonstrated of 92.11% of the production line efficiency improvement and the labor cost reduction valued of 277220 baht per year. As we expected the second approach satisfied production efficiency by eliminating the loss of commercial opportunity with value of 6336000 baht per year delivering a return of investment within two months.