Data Envelopment Analysis 資料包絡分析
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Aug 26, 2018 - Jupyter Notebook
Data Envelopment Analysis 資料包絡分析
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Interactive Interface to Data Envelopment Analysis Modeling
Solving large scale DEA problems
Dynamic Slack Based Model Data Envelopment Analysis (DEA)
DEA_fun_v2 is a MATLAB function which calculates the deterministic/stochastic DEA efficiency scores for VRS/CRS with input/output orientations. Moreover, it calculates the tfpch for Deterministic/Stochastic Malmquisit index based on DEA models.
Wrapper class and functions to use pyDEA in Python scripts
Nature-Inspired DMU Selection and Evaluation in Data Envelopment Analysis
Data Envelopment Analysis with Bootstrap Method in R
Collection of optimization models
JuMP4DEA is a package for solving large-scale data envelopment analysis (DEA) problems
Tool to predict the efficiency of employees in workspace.
Replication code for "When and Why Do DEA and SFA Diverge?" (Journal of Productivity Analysis)
Implementation of Data Envelopment Analysis for Large-Scale Computations: This project demonstrates large-scale linear programming modeling.
the sustainability efficiency of Nestlé, Henkel, P&G & Unilever across 50+ ESG KPIs — reproducible pipeline, tests, and an honest note on the method's limits.
DEA-based supplier selection & order allocation with disruption-resilience analysis, a proof of concept extending Yousefi et al. (2021) toward supply-chain risk management. Python · PuLP · Streamlit.
A lightweight Data Envelopment Analysis (DEA) solver in Python for measuring the relative efficiency of Decision Making Units (DMUs). It implements the Constant Returns to Scale (CRS) model in both input-oriented (IO) and output-oriented (OO) form.
R tools to solve input-oriented DEA models with indirect sequential technology and recover optimal input combinations for panel productivity studies.
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