A new approach using fuzzy DEA models to reduce search space and eliminate replications in simulation optimization problems
作者：
Highlights：
• A method was developed to reduce the search space in simulation optimization.
• The method combines orthogonal Arrays, data envelopment analysis and optimization.
• The method reduces the search space in various case studies by roughly 97%.
• The method defines the best range of variation for each decision variable.
• The method is applied to simulation optimization with a single objective.
摘要
•A method was developed to reduce the search space in simulation optimization.•The method combines orthogonal Arrays, data envelopment analysis and optimization.•The method reduces the search space in various case studies by roughly 97%.•The method defines the best range of variation for each decision variable.•The method is applied to simulation optimization with a single objective.
论文关键词：Simulation optimization,Discrete event simulation,Fuzzy-Data Envelopment Analysis
论文评审过程：Received 12 May 2019, Revised 25 September 2019, Accepted 14 December 2019, Available online 17 December 2019, Version of Record 26 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113137
