scholarly journals Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling

2021 ◽  
Vol 173 ◽  
pp. 121082
Author(s):  
Alessandro Golkar ◽  
Ilya Yuskevich ◽  
Ksenia Smirnova ◽  
Rob Vingerhoeds
Keyword(s):  
Technology Planning ◽  
Technology Forecasting ◽  
Model Based ◽  
Game Theoretic

scholarly journals Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling

2021 ◽  
Vol 168 ◽  
pp. 120761
Author(s):  
Ilya Yuskevich ◽  
Ksenia Smirnova ◽  
Rob Vingerhoeds ◽  
Alessandro Golkar
Keyword(s):  
Technology Planning ◽  
Technology Forecasting ◽  
Model Based ◽  
Game Theoretic

Investigating the Sensing Activities in Strategic Planning with Multi-Dimensional Aspects: Timo

2020 ◽  
Vol 17 (05) ◽  
pp. 2050034
Author(s):  
Yonghee Joseph Cho ◽  
Tugrul U. Daim
Keyword(s):  
Strategic Planning ◽  
Technological Innovation ◽  
Technology Planning ◽  
Technological Changes ◽  
Technology Forecasting ◽  
Managerial Implications ◽  
Research Findings ◽  
Unique Context

The purpose of this study is to enrich the stream of research on Technology Forecasting (TF) activities in a firm for practitioners and researchers, a unique context where TF could lead to technological innovation. This paper offers a classification of the approaches and presents technological, industrial, methodological and organizational (TIMO) aspects of TF methods that are inherent in TF activities. Furthermore, this study provides empirical evidences to support organizational and managerial implications regarding TF activities associated with technology planning in a firm. Finally, research findings in regimes of technological changes suggest insights on technological, organizational and managerial processes within the firm.

scholarly journals ISO 15016:2015-Based Method for Estimating the Fuel Oil Consumption of a Ship

2020 ◽  
Vol 8 (10) ◽  
pp. 791
Author(s):  
Ki-Su Kim ◽  
Myung-Il Roh
Keyword(s):  
Statistical Model ◽  
Route Planning ◽  
Fuel Oil ◽  
Accurate Estimation ◽  
Technology Planning ◽  
Optimal Route ◽  
Oil Consumption ◽  
Operating Data ◽  
Model Based ◽  
Calculation Methodology

Recently, interest in the design and construction of smart ships has been widely increasing. Optimal route planning is a widely studied essential aspect of smart ship technology. Planning an optimal route requires an accurate estimation of the fuel oil consumption of a ship. Various studies have suggested methods for theoretically estimating the fuel oil consumption. However, the calculation methodology and accuracy are different for each method. In addition, in commercial software, a statistical model based mainly on operating data has been used. Therefore, in this study, we propose a method based on ISO 15016:2015 for estimating the fuel oil consumption of a ship by improving the ISO 15016:2002 method—which has been predominantly used in existing studies. Moreover, the accuracy of the proposed method is examined by comparing it with a gray box model based on operating data. The results confirm that the proposed method can be used for estimating the fuel oil consumption of a ship.

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