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Matsuzaka, Japan

Mie Chukyo University is a private university in Matsusaka, Mie, Japan, established in 1982. Formerly known as Matsusaka University, the school adopted the present name in 2005. Wikipedia.


Sato Y.,Mie Chukyo University
Smart Innovation, Systems and Technologies | Year: 2010

Under tight financial conditions, local governments in Japan are required to conduct performance-based administrative management and subsequent public sector reform. Concerning public sector reform, a joint research group proposed a framework of how to reform public sector with theoretical approach. The research concluded that present public sector should be decomposed into two parts: one is the organization specialized in decision-making and ruling with authority and legal power; the other is collective entities which coproductively cover social issues. On the other hand, by employing the dominant method of the Analytic Hierarchy Process, the author of this paper developed a rational approach to the delegation of power from the public sector to other potential sectors. Based on the results of the study, this paper considers the scheme of public sector reform. Principal component analysis concerning properties featuring projects of a local government is carried out, and new concepts representing the aspect of the projects are extracted. The results of this paper illustrate the structure of the publicness and show the scheme of public sector reform. © Springer-Verlag Berlin Heidelberg 2010. Source


Sato Y.,Mie Chukyo University
Smart Innovation, Systems and Technologies | Year: 2011

The objective of this study was to develop a quantitative model for budget allocation for investment in safety measures in a chemical plant, for determining the sustainability of the company. Developing the model in conjunction with decision-making on strategic investments for safety is complicated because of the subjective factors that enter into the inspection of chemical plants and the choice of appropriate safety measures. This study addressed this problem by applying the Analytic Hierarchy Process (AHP), showing how to quantify inherent risks within a chemical plant for the optimization of the budget allocation for investment in safety measures. A case study was carried out, which clarified the correlation between safety measures and the degree of risk reduction and guided how to allocate budget for safety measures. © 2011 Springer-Verlag Berlin Heidelberg. Source


Sato Y.,Mie Chukyo University
International Journal of Production Economics | Year: 2012

The objective of this study was to develop a framework for optimizing budget planning for investment in safety measures in a chemical company. Decision making for strategic investment for safety is complicated due to the intangible factors that enter into both the evaluation and choice of appropriate safety measures, and the individual situation of plants. This study addressed these issues by combining Linear Programing and Analytic Hierarchy Process, showing how to quantify inherent risks within chemical plants and how to optimize budget planning for safety within a chemical company. © 2012 Elsevier B.V. All rights reserved. Source


Otsu H.,Aichi University | Sato T.,Mie Chukyo University | Ikemori H.,Shiga University | Kitakado S.,Meijo University
Modern Physics Letters A | Year: 2010

We show that vortices of YangMillsHiggs model in R2 space can be regarded as instantons of YangMills model in R2 × Z 2 space. For this, we construct the noncommutative Z2 space by explicitly fixing the Z2 coordinates and then show, by using the Z2 coordinates, that BPS equation for the vortices can be considered as a self-dual equation. We also propose the possibility to rewrite the BPS equations for vortices as ADHM equations through the use of self-dual equation. © 2010 World Scientific Publishing Company. Source


Sato Y.,Mie Chukyo University
Smart Innovation, Systems and Technologies | Year: 2012

Based on the quantitative model of risk assessment quantifying intangible factors in risk assessment, optimizing a budget allocation for safety in a manufacturing company was the objective of this paper.Developing a quantitative model for risk assessment in conjunction with decision-making on strategic investments for safety is complicated because of the subjective factors that enter into the inspection of a plant within a company and the choice of appropriate safety measures for the plant. The author's previous study addressed a part of this problem, and showed how to quantify inherent risks within a plant.Based on the study, the issue of the optimization of the budget allocation for safety measures was addressed by approximating a budget allocation model as a linear programming problem in this paper. A case study was carried out in a chemical company in Japan as an example, which guided how to optimize budget allocation for safety in the company. © Springer-Verlag Berlin Heidelberg 2012. Source

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