Yiyi Zhang, Ruijin Liao, Lijun Yang, Xiaopin Deng, Huanchao Cheng and Cheng Lv
Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer…
Abstract
Purpose
Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer is full of uncertainty as it is hard to obtain accurate and useful cost-effectiveness results. Therefore, the purpose of the paper is to establish an investment evaluation model.
Design/methodology/approach
The cost-effectiveness evaluation model in this study used grey correlation analysis for the power transformer selection based on life cycle cost (LCC). Indices of cost and effectiveness factors were chosen to form a three-level index system including quantitative and qualitative factors. Evidential reasoning was applied to quantify the qualitative indexes. Grey correlation analysis was applied to select the best investment program.
Findings
The results from this study show that the proposed approach is effective and offers a new approach to evaluating transformer investment.
Practical implications
The model was applied to an investing decision-making problem of the transformer in a new substation in Wuhan, China.
Originality/value
It is very important to select the best transformer program in the candidate investment programs because the investment program decides almost 70 percent of the LCC of the power transformer.