Showing papers by "Hiroshi Morita published in 2009"

SELECTING INPUTS AND OUTPUTS IN DATA ENVELOPMENT ANALYSIS BY DESIGNING STATISTICAL EXPERIMENTS( Operations Research for Performance Evaluation)

Abstract: Data envelopment analysis (DEA) is a data oriented, non-parametric method to evaluate relative efficiency based on pre-selected inputs and outputs. In some cases, the performance model is not well defined, so it is critical to select the appropriate inputs and outputs by other means. When we have many potential variables for evaluation, it is difficult to select inputs and outputs from a large number of possible combinations. We propose an input output selection method that uses diagonal layout experiments, which is a statistical approach to find an optimal combination. We demonstrate the proposed method using financial statement data from NIKKEI 500 index.

Solar Cell Module and Method of Manufacturing the Same

Abstract: A solar cell module includes a base body, a plurality of solar cell elements arranged at intervals over the base body, a resin layer disposed on the solar cell elements and comprising a plurality of recesses on its surface facing opposite to the solar cell elements, and a protective sheet disposed on the resin layer. The protective sheet comprises a plurality of protrusions which correspond to the recesses of the resin layer and which are in contact with the recesses. The height of first protrusion at a location corresponding to the interval between the solar cell elements among the plurality of protrusions is higher than the height of second protrusion at a location corresponding to the solar cell element among the plurality of protrusions. The interval between adjacent ones of the second protrusions in a portion corresponding to an end portion of the base body in longer than the interval between adjacent ones of the second protrusions in a portion corresponding to a central portion of the base body.