A joint team of hospital staff and OR/MS researchers launched a healthcare service innovation project at the University of Tsukuba, Japan, in April 2011. We plan to develop a web-based software system for bed allocation to patients by mathematical optimization in the Tsukuba University Hospital. For attaining this goal successfully, we analyze the unique medical network system of Japan and study the expectation of potential patients as well as hospital staff. This is done in parallel with the operational analysis and simulation of patient flows inside the university hospital. In this paper, we describe the scope of our project and share the first-year progress with expert participants in the conference.

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In this study, all employees (including part-time employees) of a shinkin bank were surveyed using the organizational activation diagnostic tool "oractika," developed by Takahashi (1997). Similar to Takahashi (2014), the results of the survey confirmed a mostly linear, positive relationship between the perspective index and job satisfaction and a mostly linear, negative relationship between the perspective index and the desire to quit one's job. In other words, as the perspective index increases, job satisfaction also increases, decreasing the desire to quit one's job. A further analysis by job type showed that, among part-time employees, overall job satisfaction tended to be high. At the same time, they tended to show an equally strong or somewhat stronger desire to quit one's job in comparison with other types of employees. These findings suggest that part-time employees dissatisfied with their work often quit their jobs, whereas those who continue have higher job satisfaction.

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In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.