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RISS 인기검색어
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- 저자 : Yasuo Yamane (검색결과 4 건)
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Quantifying the Technology Level of Production System for Technology Transfer
Yamane, Yasuo,Takahashi, Katsuhiko,Hamada, Kunihiro,Morikawa, Katsumi,Bahagia, Senator Nur,Diawati, Lucia,Cakravastia, Andi Korean Institute of Industrial Engineers 2011 Industrial Engineeering & Management Systems Vol.10 No.2
This paper develops a technology level quantification (TLQ) model by utilizing a learning curve. Original learning curve shows the relationship between cumulative number of units and the required time for the unit. On the other hand, in our developed model, the technology level, such as speed of production and quality of the produced items, is expressed as a function of not cumulative number of units but time, for increasing generality. Furthermore, for expressing each learning that consists of conceptual learning and operational learning, S-curve is utilized in our developed model. By fitting the S-curve and/or decomposing into some activities, our TQL model can be applied to approximate organizational and complicated process. Some variations in time and levels, parameters of our developed model are shown. By using the parameters, the procedure to identify our developed model is proposed. Also, the influential factors for the parameters of our developed model are discussed with classifying the factors into technoware, infoware, humanware, and orgaware. The expected technology level is utilized for expecting the capacity of production system, and the expected capacity can be utilized in predicting various changes in the organization and deciding managerial decision about TT. A case study in manufacturing industry shows the effectiveness of the developed model.
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Quantifying the Technology Level of Production System for Technology Transfer
Yasuo Yamane,Katsuhiko Takahashi,Kunihiro Hamada,Katsumi Morikawa,Senator Nur Bahagia,Lucia Diawati,Andi Cakravastia 대한산업공학회 2011 Industrial Engineeering & Management Systems Vol.10 No.2
This paper develops a technology level quantification (TLQ) model by utilizing a learning curve. Original learning curve shows the relationship between cumulative number of units and the required time for the unit. On the other hand, in our developed model, the technology level, such as speed of production and quality of the produced items, is expressed as a function of not cumulative number of units but time, for increasing generality. Furthermore, for expressing each learning that consists of conceptual learning and operational learning, S-curve is utilized in our developed model. By fitting the S-curve and/or decomposing into some activities, our TQL model can be applied to approximate organizational and complicated process. Some variations in time and levels, parameters of our developed model are shown. By using the parameters, the procedure to identify our developed model is proposed. Also, the influential factors for the parameters of our developed model are discussed with classifying the factors into technoware, infoware, humanware, and orgaware. The expected technology level is utilized for expecting the capacity of production system, and the expected capacity can be utilized in predicting various changes in the organization and deciding managerial decision about TT. A case study in manufacturing industry shows the effectiveness of the developed model.
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Permeability Control Method with Laser for Porous Bushings of Aerostatic Bearings
Keiji Yamada,Nobuyuki Onishi,Katsuhiko Sekiya,Yasuo Yamane 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
This paper presents the experimental results of investigating the feasibility of new method to control the permeability of porous bushings used for aerostatic bearings. Sintered bronze discs are used as porous bushings, and their surfaces are irradiated with pulsed Nd:YAG laser to generate re-solidified layer which plays role as an air restrictor in the air feeding line. After above surface modification process, the change in air permeability of bushings is examined and the influence of irradiating conditions is also investigated. Then, a stability test and a stiffness test are performed to exam the effect of the re-solidified layer generated by surface modification process. The surface modified bushings have achieved high fluid resistance for air, and high stability of bearing. Furthermore, it is confirmed that the surface modification with laser has improve the static stiffness of thrust bearing with porous bushing.
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Shinji Tanishima,Tokumitsu Mihara,Atsushi Tanida,Chikako Takeda,Masaaki Murata,Toshiaki Takahashi,Koji Yamane,Tsugutake Morishita,Yasuo Morio,Hiroyuki Ishii,Satoru Fukata,Yoshiro Nanjo,Yuki Hamamoto,T 대한척추외과학회 2019 Asian Spine Journal Vol.13 No.3
Study Design: Multicenter, prospective study. Purpose: To investigate the effects of diabetes mellitus (DM) on surgical outcomes in patients with cervical myelopathy. Overview of Literature: To date, few studies have investigated the influence of postoperative blood glucose or glycated hemoglobin (HbA1c) levels on surgical outcomes. Methods: The participants were patients who underwent surgery for the treatment of cervical spondylotic myelopathy and ossification of the posterior longitudinal ligament. The 61 cases were evaluated preoperatively and 1 year postoperatively using the Japanese Orthopaedic Association (JOA) scores and the JOA Cervical Myelopathy Evaluation Questionnaire (JOACMEQ). The study variables included fasting blood glucose and HbA1c levels measured preoperatively and at 1 week, 4 weeks, and 1 year postoperatively; the F-wave conduction velocity, latency, rate of occurrence, and M-wave latency in the ulnar and tibial nerves were measured preoperatively and at 1 year postoperatively. The patients were divided into a group without diabetes (N group, 42 patients) and a group with diabetes (DM group, 19 patients). We then assessed the associations between the surgical outcomes and each of the study variables. Results: JOA scores significantly improved in both groups; however, no significant between-group differences were found. There was no significant improvement in the JOACMEQ scores, which assessed cervical function, upper and lower limb function, and bladder function in both groups. We then subdivided the DM group into those with a good control of HbA1c after 1 year (DMG group, 12 patients) and those with HbA1c deterioration after 1 year (DMB group, seven patients), prior to comparing the surgical outcomes. The JOACMEQ scores for upper and lower limb function significantly improved in the DMG group (p<0.01). Compared with the DMB group, there were no significant increases in upper or lower limb function scores in the DMG group. Conclusions: Poor glycemic control might prevent postoperative functional recovery of the spinal cord.
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