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Quantifying the Technology Level of Production System for Technology Transfer
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 Title & Authors
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;
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 Abstract
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.
 Keywords
Technology Transfer;Technology Level;Learning Curve;S-curve;Case Study;
 Language
English
 Cited by
1.
기술이전사업화 및 창업 성과에 미치는 대학의 역량요인 비교연구,나상민;김창완;이희상;

대한산업공학회지, 2014. vol.40. 5, pp.462-476 crossref(new window)
1.
A Comparative Study of the Effect of University Competence on Technology Transfer and Commercialization and Start-ups, Journal of Korean Institute of Industrial Engineers, 2014, 40, 5, 462  crossref(new windwow)
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