Innovation Management in Defensive Organizations

Innovation Management in Defensive Organizations

Performance analysis and forecasting with data envelopment analysis and data mining approach

Document Type : Original Article

Authors
mohammad hossein alimadadi 1
mehrzad navabakhsh 2
ashkan hafezalkotob 3
1 PhD Student, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 Assistant Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Islamic Azad University, South Tehran Branch
3 Assistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
10.22034/qjimdo.2021.300153.1439
Abstract
Background & Purpose: Analysis and forecasting of efficiency in organizations in order to evaluate the performance of units and planning to improve the performance of units is very important. The purpose of this study is to analyze and predict the relative efficiency of the country's social security branches. For this purpose, in general, in this study, a framework has been created to estimate the future value of the efficiency of units using artificial neural networks.
Methodology: In this research, using non-parametric data envelopment analysis method and game theory method, cover the research gaps in measuring cost efficiency and technical efficiency in a two-tier supply chain in terms of price stability and price instability.
Findings: First, branch efficiency was calculated using data envelopment analysis method and then performance classification was performed.
Conclusion: In this study, based on the past performance of the units and calculating their cost efficiency in consecutive years, the future performance of the units was predicted using the time series function.
Conclusion: Managers should implement a data collection and processing system in the organization and regularly perform clustering and performance forecasting for the coming months and years, based on which to improve and optimize inputs and outputs.
Keywords: Efficiency, Data Envelopment Analysis, Data Mining, Neural Networks
Keywords
efficiency
data envelopment analysis
data mining
neural networks
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