Data Envelopment Analysis to measure relative performance based on key indicators from a supply network with reverse logistics

Introduction− Data Envelopment Analysis (DEA) is used to measure the relative performance of a series of distribution centers (DCs), using key indicators based on reverse logistics for a company that produces electric and electronic supplies in Colombia.Objective−The aim is to measure the relative perfor-mance of distribution centers based on Key Performance Indicators (KPI) from a supply network with reverse logistics.Methodology−A DEA model is applied through 5 steps: KPIs selection; Data collection for all 18 DCs in the net-work; Build and run the DEA model; Identify the DCs that will be the focus of improvement; Analyze the DCs that restrict or diminish the total performance of the system.Results− KPIs are defined, data is collected and KPI’s for each DCs are presented. The DEA model is run and the relative efficiencies for each DCs are determined. A frontier analysis is made and DCs that limit or reduce the performance of the system are analyzed to find options for improving the system.Conclusions−Reverse logistics, brings numerous ad-vantages for companies. The analysis of the indicators allows logistics managers involved to make relevant deci-sions for higher performance. The DEA model identifies which DCs have a relative superior and inferior perfor-mance, making it easier to make informed decisions to change, increase or decrease resources, and activities or apply best practices that optimize the performance of the network.

• Autores: Ardila Gamboa, César David; Ballesteros Riveros, Frank Alexander
• Tipo de recurso: Article of journal
• Fecha de publicación: 2018
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/2395
• Acceso en línea: https://hdl.handle.net/11323/2395; https://doi.org/10.17981/ingecuc.14.2.2018.13; https://repositorio.cuc.edu.co/
• Palabra clave: Data envelopment analysis; Relative performance; Reverse logistics; Returnable packages; Warehousing; Análisis envolvente de datos; Eficiencia relativa; Logística inversa; Empaques retornables; Almacenamiento
• Rights: openAccess
• License: http://purl.org/coar/access_right/c_abf2