Taiga Mitsuyuki
University of Tokyo
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Publication
Featured researches published by Taiga Mitsuyuki.
Journal of Industrial Integration and Management | 2017
Taiga Mitsuyuki; Kazuo Hiekata; Takuya Goto; Bryan R. Moser
For software development, especially massive software systems, a waterfall process is used traditionally. A waterfall process can be highly effective on the condition that a master plan is fixed and the possibility of changes and uncertain rework is low. However, in software development projects, many kinds of reworks occur corresponding to uncertain requirement changes and program bugs. In addition, with the advent of cloud-based software platforms and continuous development operations, it is possible to develop a software system while operating the system. To respond to this situation, software development projects often adopt an agile process. Agility may allow conditional response to uncertain rework, yet at the same time it may be difficult to control the achievement of known project targets. Recently, many cases of adopting mixed processes including waterfall and agile have been reported in the massive software development projects. In this paper, we argue that the mixed process architecture should ...
ISPE CE | 2013
Taiga Mitsuyuki; Kazuo Hieketa; Hiroyuki Yamato; Kazuki Haijima
This paper proposes a methodology to evaluate organizational performance. Developed system defines workers, facilities, activity models and production strategy. Evaluation of organizational performance is done through the following processes: (1) create the enterprise model and strategy, (2) calculate work plan by optimizing the weights of each strategy, (3) compare the basic scenario to the scenario when a situation changes. The system proposes a work plan by genetic algorithm. The plan minimizes the total cost in doing the work activities considering the weight of each production strategy. The proposed methodology is applied to some sample scenarios in a fabrication shop. Results show that the methodology can evaluate organizational performance successfully by analyzing the work plan. In addition, the methodology also evaluates the effect of improving organization and sudden trouble quantitatively.
Journal of Marine Science and Technology | 2014
Taiga Mitsuyuki; Kazuo Hiekata; Hiroyuki Yamato
Journal of the Japan Society of Naval Architects and Ocean Engineers | 2016
Taiga Mitsuyuki; Kazuo Hiekata; Hiroya Matsubara; Hiroyuki Yamato; Bryan R. Moser
Transactions of the Japan Society of Mechanical Engineers. C | 2013
Taiga Mitsuyuki; Hiroyuki Yamato; Kazuo Hiekata
Journal of Industrial Information Integration | 2018
Yoshiaki Oida; Kazuo Hiekata; Taiga Mitsuyuki; Hiroki Kamba; Isaac Okada
International journal of automation technology | 2018
Kazuo Hiekata; Taiga Mitsuyuki; Kota Okada; Yoshiyuki Furukawa
Journal of the Japan Society of Naval Architects and Ocean Engineers | 2017
Kazuo Hiekata; Taiga Mitsuyuki; Ryuji Ueno; Ryota Wada; Bryan R. Moser
Transactions of the JSME (in Japanese) | 2016
Taiga Mitsuyuki; Hiroyuki Yamato; Kazuo Hiekata; Bryan R. Moser; Masaru Isonuma; Isaac Okada; Yoshiaki Oida
Journal of the Japan Society of Naval Architects and Ocean Engineers | 2016
Kazuo Hiekata; Taiga Mitsuyuki; Bryan R. Moser; Hiroyuki Yamato; Tomoki Saito; Shinnosuke Wanaka