"Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License...."There exist two types of Data Envelopment Analysis (DEA) approaches to the Olympic
Games: conventional and fixed-sum outputs (FSO). The approach proposed in this paper
belongs to the latter category as it takes into account the total number de medals of each type
awarded. Imposing these constraints requires a centralized DEA perspective that projects all
the countries simultaneously. In this paper, a multiobjective FSO approach is proposed, and
the Weighted Tchebychef solution method is employed. This approach aims to set all output
targets as close as possible to their ideal values. In order to choose between the alternative
optima, a secondary goal has been considered that minimizes the sum of absolute changes in
the number of medals, which also renders the computed targets to be as close to the observed
values as possible. These targets represent the output levels that could be expected if all
countries performed at their best level. For certain countries, the targets are higher than the
actual number of medals won while, for other countries, these targets may be lower. The
proposed approach has been applied to the results of the Tokyo 2020 Olympic Games and
compared with both FSO and non-FSO DEA method
