Bulletin of Electrical Engineering and Informatics
Vol 11, No 3: June 2022

Data driven approach for stochastic data envelopment analysis

Hengki Tamando Sihotang (Universitas Sumatera Utara)
Syahril Efendi (Universitas Sumatera Utara)
Muhammad Zarlis (Universitas Sumatera Utara)
Herman Mawengkang (Universitas Sumatera Utara)



Article Info

Publish Date
01 Jun 2022

Abstract

Decision making based on data driven deals with a large amount of data will evaluate the process's effectiveness. Evaluate effectiveness in this paper is measure of performance efficiency of data envelopment analysis (DEA) method in this study is the approach with uncertainty problems. This study proposed a new method called the robust stochastic DEA (RSDEA) to approach performance efficiency in tackling uncertainty problems (i.e., stochastic and robust optimization). The RSDEA method develops to combine the stochastics DEA (SDEA) formulation method and Robust Optimization. The numerical example demonstrates the performance efficiency of the proposed formulation method, with the results performing confirmed that the efficiency value is 89%.

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Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...