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- 저자 : Takaaki Kawanaka (검색결과 4 건)
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Information Sharing and Security for a Memory Channel Communication Network
Takaaki Kawanaka,Shuichi Rokugawa,Hiroshi Yamashita 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.3
In this study, the authors propose a model describing information sharing and information security measures in an organization using a memory channel communication network (CN). First, the authors highlight communication between the inner members of an organization and communication between inner and outer members, realizing a model describing intra-organizational information sharing and external information leakage. Utilizing this model, the authors determine the percentage of advanced information allocated to inner members most efficient for the organization from the viewpoint of information sharing and information security measures. Then, the allocation percentage is determined considering the structure of the CN and the characteristics of its members. The authors use simple numerical examples in order to confirm whether the model in this study truly represents communication in a real organization. The results confirm that the model is reality-based.
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Tsuyoshi Kurihara,Takaaki Kawanaka,Hiroshi Yamashita 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.4
In general, seasonally dependent products such as home air conditioners and beer are difficult to produce in a timelymanner to respond to demand because of the large seasonal fluctuations in demand. However, if highly accurate demand analysis/forecast is possible, production preparation for responding to demand fluctuations will be easier. Therefore, as a basis for such a demand analysis/forecast, to analyze the whole (nationwide) demand for a seasonally dependent product, this paper proposes a new weighted additive model for the whole demand analysis of a seasonallydependent product, i.e., Japanese beer, using meteorological and regional data, considering “regional characteristics ofclimate” and “regional homogeneity of demand together,” with the further addition of social customs factors, policyfactors, and a demand trend. Using the alternating least squares method, we attempt parameter estimation for the model with an inseparable parameter group generated by expressing “regional characteristics of climate” and “regionalhomogeneity of demand” together as a product of mutually independent factors (meteorological and regional factors). The results show that the proposed model is valid and provides insight into the effects of the factors influencing demand.
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Early-stage Project Outcome Prediction Considering Human Factors
Satoshi Urata,Takaaki Kawanaka,Shuichi Rokugawa 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.1
In the early stages of a project, project managers need a way to connect concrete actions to the factors that affect project success. This study aims to upgrade project management methodology by using machine learning technologies to predict project results. Using a new deep learning model called “deep tensor,” we predict project results at the time of completion—including quality, cost, and delivery time—by evaluating the project’s state in its earliest stage using various types of project knowledge assets. The prediction results suggest that the predictive accuracy of the deep tensor model is more accurate than that of the random forest or multiple regression model. The way to use this model to recommend specific advice by using the factors that most influenced the model’s predictions is also presented. This research provides a method for sharing difficult-to-share knowledge across projects and will be useful for early, tangible improvement measures in the project execution phase.
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A Study on Ship Assignment Strategies of Shipping Companies Accounting for Shipper Time Value
Kenji Tanaka,Heng Wang,Takaaki Kawanaka,Jing Zhang 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.2
The three major shipping companies consolidated their liner business. However, the global share of the newly consol-idated company was a low 6.5%, making it only the 6th largest in the world. Thus, the Japanese shipping industry still remain in a disadvantageous position in terms of competing with more efficient large-scale shipping companies. Hence, Japanese shipping companies require a strategy not based upon price competition in order to survive. In this study, we propose a method for formulating vessel assignment plans accounting for inter-company competition. The flow of research is as follows: 1) Estimates time value accounting for shipper demand fluctuation risk, 2) Evaluates vessel assignment plans in terms of shipping company container transport volume and profit, 3) As an example, fo-cuses on a regional dominance strategy for Japanese shipping company vessel assignment, conducts a case study through simulation, and then evaluates it. From the simulation results, a regional dominance strategy based on the vessel assignment plan formulation method proposed in this study is thought to be superior in the long term as a strat-egy for The Alliance in Southeast Asia.
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