Convex Isoquants in DEA Models with Selective Convexity

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发表日期：

2024年1月1日

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A. P. Afanasiev,
V. E. Krivonozhko,
A. V. Lychev,
O. V. Sukhoroslov

摘要

Abstract

Models with selective convexity are an important class of data envelopment analysis (DEA) models. This type of model allows managers to consider variables such as ratios, averages, percentages, etc. The paper proposes algorithms for constructing input and output isoquants using volume variables in models with selective convexity. These algorithms help investigate the relationship between any volume variables in the model. Computational experiments confirm the reliability and efficiency of the proposed methods.