Shu-Yin Chiang

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—The bottleneck (BN) of a production line is a machine that impedes the system's performance in the strongest manner. It has been shown in the previous work that the so-called down-time bottlenecks (DT-BNs) are of main industrial importance. In this paper, a method for DT-BN identification is developed in the framework of serial production lines with(More)
—In this paper, a system-theoretic approach to bottlenecks in Markovian production lines is introduced and analyzed. The approach is based on the sensitivity of the system production rate to machines' reliability parameters. Using this approach, definitions of bottlenecks are introduced, methods for their identification are developed, and their implications(More)
This paper proposes a model for recognizing motions performed during rehabilitation exercises for frozen shoulder conditions. The model consists of wearable wireless sensor network (WSN) inertial sensor nodes, which were developed for this study, and enables the ubiquitous measurement of bodily motions. The model employs the back propagation neural network(More)
PURPOSE Improving quality of care is important in health care management. For health care clinics, reducing patient waiting time and improving throughput with efficient utilization of the workforce are important issues to achieve better quality of care. This paper seeks to introduce a simulation study on design and analysis of a health clinic for homeless(More)
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are measured by the self-developed body motion sensor, which combines both accelerometer and gyroscope chips to(More)