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Stochastic Network Data Envelopment Analysis

In: Stochastic Benchmarking

Author

Listed:
  • Alireza Amirteimoori

    (Rasht Branch, Islamic Azad University)

  • Biresh K. Sahoo

    (XIM University)

  • Vincent Charles

    (Pontifical Catholic University of Peru)

  • Saber Mehdizadeh

    (Rasht Branch, Islamic Azad University)

Abstract

Most real-life production processes are multi-stage in nature. Characterization of such processes via concepts such as technical efficiency is considered important to firm managers for the stage-specific analysis of their business decisions in improving their performance. Therefore, it is imperative to estimate the efficiency of a firm not only for the network production system but also for its sub-processes to locate the sources of inefficiency. In this chapter, we deal with production processes characterized by a two-stage network structure that links their stage-specific processes with intermediate products (measures). In this two-stage production process, the first stage uses input resources to produce intermediate products, which are all, in turn, used as inputs in the second stage to produce final outputs.

Suggested Citation

  • Alireza Amirteimoori & Biresh K. Sahoo & Vincent Charles & Saber Mehdizadeh, 2022. "Stochastic Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Stochastic Benchmarking, chapter 0, pages 77-117, Springer.
  • Handle: RePEc:spr:isochp:978-3-030-89869-4_5
    DOI: 10.1007/978-3-030-89869-4_5
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    Cited by:

    1. Nadia M. Guerrero & Juan Aparicio & Daniel Valero-Carreras, 2022. "Combining Data Envelopment Analysis and Machine Learning," Mathematics, MDPI, vol. 10(6), pages 1-22, March.

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