2019/12/03 by Núria Tous Ramon, Ramón, Nuria, José Luis Ruiz +3
Decision Sciences · #Efficiency Analysis Using DEA #FOS: Mathematics #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.1912.01514
openalex publication_date 2019/12/03 · openalex created_date 2022/09/28 · openalex updated_date 2026/07/28
In benchmarking, organizations look outward to examine others' performance in\ntheir industry or sector. Often, they can learn from the best practices of some\nof them and improve. In order to develop this idea within the framework of Data\nEnvelopment Analysis (DEA), this paper extends the common benchmarking\nframework proposed in Ruiz and Sirvent (2016) to an approach based on the\nbenchmarking of decision making units (DMUs) against several reference sets. We\nrefer to this approach as cross-benchmarking. First, we design a procedure\naimed at making a selection of reference sets (as defined in DEA), which\nestablish the common framework for the benchmarking. Next, benchmarking models\nare formulated which allow us to set the closest targets relative to the\nreference sets selected. The availability of a wider spectrum of targets may\noffer managers the possibility of choosing among alternative ways for\nimprovements, taking into account what can be learned from the best practices\nof different peer groups. Thus, cross-benchmarking is a flexible tool that can\nsupport a process of future planning while considering different managerial\nimplications.\n