Daisuke Yagi

Daisuke Yagi

Research Assistant

Department of Industrial and Systems Engineering, Texas A&M University
2017 Emerging Technologies Building, College Station, TX, 77843-3131

Email: d.yagi@tamu.edu

Education

September 2013 - Present, Ph.D., Department of Industrial and Systems Engineering, Texas A&M University.

April 2009 - March 2013, B.S., Department of Information and Communication Sciences, Sophia University, Tokyo, Japan.

Research interest

Productivity and Efficiency analysis
  • Nonparametric Shape Constrained Estimation
  • Kernel Regression
  • Application to census data

Publications

Yagi, D., Y. Chen, A.L. Johnson, and H. Morita, 2018, Modeling production in Japan's cardboard industry using an axiomatic nonparametric production function, Working paper.

Yagi, D., Y. Chen, A.L. Johnson, and T. Kuosmanen, 2018, Shape constrained kernel-weighted least squares: Application to production function estimation for Chilean manufacturing industries, Journal of Business and Economic Statistics, (Accepted).

Yagi, D., K. Nagasawa, T. Irohara, H. Ehm, G. Yachi, 2014, Semiconductor supply planning by considering transit options to take advantage of pre-productions and order cancellations, Simulation Modelling Practice and Theory, Vol.41, pp.46-58.

Awards

Third Prize, Early Research Career Day Best Paper Competition, The 15th European Workshop on Efficiency and Productivity Analysis, London, UK, June 12-15, 2017

Graduate Research and Presentation Travel Award, The Office of Graduate and Professional Studies, Texas A&M University, Texas, USA, June,2017

Presentations

Modeling production in Japan's cardboard industry using an axiomatic nonparametric production function, INFORMS Conference on Business Analytics & Operations Research, Baltimore, USA, April 15-17, 2018, (Accepted).

Shape Constrained Kernel-weighted Least Squares, INFORMS Annual Meeting, Houston, USA, Oct 22-25, 2017

Shape Constrained Kernel-weighted Least Squares, Workshop on Stochastic Nonparametric Envelopment of Data and Contextual Variables at Aston University, Birmingham, UK, June 16, 2017

Iterative S-shape Estimation, The 15th European Workshop on Efficiency and Productivity Analysis, London, UK, June 12-15, 2017

Kernel Weighted Convex Regression, The 14th European Workshop on Efficiency and Productivity Analysis, Helsinki, Finland, June 15-18, 2015

Semiconductor supply planning by considering transit options to take advantage of pre-productions and order cancellations, Japan Industrial Management Association, Tokyo, Japan, May 18-19, 2013