Dependency of Military Capabilities on Technological Development

Abstract Our goal is to get better understanding of different kind of dependencies behind the high-level capability areas. The models are suitable for investigating present state capabilities or future developments of capabilities in the context of technology forecasting. Three levels are necessary for a model describing effects of technologies on military capabilities. These levels are capability areas, systems and technologies. The contribution of this paper is to present one possible model for interdependencies between technologies. Modelling interdependencies between technologies is the last building block in constructing a quantitative model for technological forecasting including necessary levels of abstraction. This study supplements our previous research and as a result we present a model for the whole process of capability modelling. As in our earlier studies, capability is defined as the probability of a successful task or operation or proper functioning of a system. In order to obtain numerical data to demonstrate our model, we conducted a questionnaire to a group of defence technology researchers where interdependencies between seven representative technologies were inquired. Because of a small number of participants in questionnaires and general uncertainties concerning subjective evaluations, only rough conclusions can be made from the numerical results.

[1]  Pier Paolo Saviotti,et al.  Competition, variety and technological evolution: A replicator dynamics model , 1995 .

[2]  Roberto Fontana,et al.  ‘Chariots of fire’: the evolution of tank technology, 1915–1945 , 2009 .

[3]  Theodore J. Gordon,et al.  A proposed convention for measuring the state of the art of products or processes , 1981 .

[4]  Jie Xu,et al.  Scenario-based design and evaluation for capability , 2010, 2010 5th International Conference on System of Systems Engineering.

[5]  Sungmoon Jung,et al.  Measuring Technology Level Based on a Mixed Model: A Case of Korean Photovoltaic Technology* , 2013 .

[6]  Robert F. Bordley,et al.  A Decision-Analytic Approach to Reliability-Based Design Optimization , 2009, Oper. Res..

[7]  K. Griendling,et al.  Addressing interoperability in military systems-of-systems architectures , 2012, 2012 IEEE International Systems Conference SysCon 2012.

[8]  Frank W. Geels,et al.  Niches in evolutionary theories of technical change A critical survey of the literature , 2007 .

[9]  Serkan Yavuz,et al.  Weapon selection using the AHP and TOPSIS methods under fuzzy environment , 2009, Expert Syst. Appl..

[10]  P. Saviotti,et al.  The co-evolution of innovation, demand and growth , 2013 .

[11]  Paul Windrum,et al.  Exploring the relationship between technical and service characteristics , 2009 .

[12]  Wilfred Dolfsma,et al.  Technology-push, demand-pull and the shaping of technological paradigms - Patterns in the development of computing technology , 2002 .

[13]  A. James.  Emerging Technologies and Military Capability , 2016 .

[14]  Johann Peter Murmann,et al.  Toward a Systematic Framework for Research on Dominant Designs, Technological Innovations, and Industrial Change , 2006 .

[15]  M. Coccia.  Technometrics: Origins, Historical Evolution and New Directions , 2005 .

[16]  Jiyeon Ryu,et al.  Technology level evaluation methodology based on the technology growth curve , 2011 .

[17]  Vesa Kuikka,et al.  A technology forecasting method for capabilities of a system of systems , 2015, 2015 Portland International Conference on Management of Engineering and Technology (PICMET).

[18]  Joseph Paul Martino,et al.  Technological Forecasting for Decisionmaking , 1975 .

[19]  Dimitri N. Mavris,et al.  Capability-Based Quantitative Technology Evaluation for Systems-of-Systems , 2007, 2007 IEEE International Conference on System of Systems Engineering.

[20]  George Wright,et al.  The limits of forecasting methods in anticipating rare events , 2010 .

[21]  Jari Nurmi,et al.  An example of scenario-based evaluation of military capability areas An impact assessment of alternative systems on operations , 2015, 2015 Annual IEEE Systems Conference (SysCon) Proceedings.

[22]  Gaston Heimeriks,et al.  The Network Structure of Technological Developments; Technological Distance as a Walk on the Technology Map , 2012 .

[23]  Xuan Li,et al.  Weapon System Capability Assessment under uncertainty based on the evidential reasoning approach , 2011, Expert Syst. Appl..

[24]  Koen Frenken,et al.  Technological innovation and complexity theory , 2006 .

[25]  Rob J Hyndman,et al.  25 years of time series forecasting , 2006 .

[26]  Koen Frenken,et al.  Toward a Systematic Framework for Research on Dominant Designs, Technological Innovations, and Industrial Change , 2005 .

[27]  Anelí Bongers,et al.  Measuring technological trends: A comparison between U.S. and U.S.S.R./Russian jet fighter aircraft , 2014 .

[28]  Robert J. Kauffman,et al.  Technology roles and paths of influence in an ecosystem model of technology evolution , 2007, Inf. Technol. Manag..

[29]  Loet Leydesdorff,et al.  Scaling trajectories in civil aircraft (1913–1997) , 2000, 1001.1312.

[30]  Muhammad Amer,et al.  A review of scenario planning , 2013 .

[31]  Vesa Kuikka,et al.  Modelling the impact of technologies and systems on military capabilities , 2014 .

[32]  Joseph P. Martino,et al.  Technological forecasting for decision making , 1983 .

[33]  Mario Coccia,et al.  AN APPROACH TO THE MEASUREMENT OF TECHNOLOGICAL CHANGE BASED ON THE INTENSITY OF INNOVATION , 2003 .