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Information Journal Paper

Title

The Generalized Returns to Scale for Multiplicative Models in Data Envelopment Analysis

Pages

  251-260

Abstract

 Conventional Data envelopment analysis (DEA) models de ne returns to scale (RTS) based on some local information about the proportional variation in outputs with respect to the proportional variation in inputs. Generalized RTS has been introduced to compute the rate of variation in outputs with respect to the variation in inputs up to the Most productive scale size (MPSS) pattern. In this paper, we address the generalized RTS in the Multiplicative models and we propose an algorithm to calculate the rate of variations in di erent intervals. We also demonstrate that the non-discretionary factors can be easily taken into account in the algorithm.

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    APA: Copy

    DAVOODI, A., Zarepisheh, M., & FALLAHNEJAD, R.. (2021). The Generalized Returns to Scale for Multiplicative Models in Data Envelopment Analysis. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 13(3 ), 251-260. SID. https://sid.ir/paper/958080/en

    Vancouver: Copy

    DAVOODI A., Zarepisheh M., FALLAHNEJAD R.. The Generalized Returns to Scale for Multiplicative Models in Data Envelopment Analysis. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2021;13(3 ):251-260. Available from: https://sid.ir/paper/958080/en

    IEEE: Copy

    A. DAVOODI, M. Zarepisheh, and R. FALLAHNEJAD, “The Generalized Returns to Scale for Multiplicative Models in Data Envelopment Analysis,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 13, no. 3 , pp. 251–260, 2021, [Online]. Available: https://sid.ir/paper/958080/en

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