An inverse stochastic two-stage DEA model to deal with resource planning
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AMER INST MATHEMATICAL SCIENCES-AIMS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Resource planning is a significant aspect in organizations with particularly complex structures and uncertain data. Accordingly, an inverse stochastic network data envelopment analysis (ISNDEA) approach is proposed in this research to estimate the changes of stochastic inputs of two-stage processes for the perturbations of stochastic desirable outputs of stages one and two while the stochastic overall and stage efficiencies are preserved. The introduced ISNDEA model is a stochastic multi-objective optimization problem and it is transformed into a deterministic linear framework. Stochastic undesirable outputs are also included in the investigation due to their presence in many real cases. A real-world examination of the banking sector is presented to show the applicability of the planned technique. The results denote the proposed approach is advantageous to plan the resources of two-stage processes with stochastic data and undesirable outputs.
Açıklama
Anahtar Kelimeler
Two-stage DEA, Chance-Constrained DEA Model, İnverse DEA, İnverse DEA Ran- Dom İnputs and Output
Kaynak
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
WoS Q Değeri
Q3
Scopus Q Değeri
Cilt
Sayı
Künye
Vishghaei, Y. Z., Kordrostami, S., Amirteimoori, A., & Shokri, S. (2025). An inverse stochastic two-stage DEA model to deal with resource planning. Journal of Industrial and Management Optimization, 0-0.
