A Scenario-based Model for Resource Allocation with Price Information

Mojtaba Ghiyasi; Akram Dehnokhalaji

doi:10.2478/fcds-2021-0021

A Scenario-based Model for Resource Allocation with Price Information

Mojtaba Ghiyasi
, Akram Dehnokhalaji

Faculty of Industrial Engineering and Management Sciences , Shahrood University of Technology , Shahrood , Iran .

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

28 Downloads (Pure)

Abstract

In this paper, we consider the problem of allocating resources among Decision Making Units (DMUs). Regarding the concept of overall (cost) efficiency, we consider three different scenarios and formulate three Resource Allocation (RA) models correspondingly. In the first scenario, we assume that overall efficiency of each unit remains unchanged. The second scenario is related to the case where none of overall efficiency scores is deteriorated. We improve the overall efficiencies by a pre-determined percentage in the last scenario. We formulate Linear Programming problems to allocate resources in all scenarios. All three scenarios are illustrated through numerical and empirical examples.

Original language	English
Pages (from-to)	339-360
Number of pages	22
Journal	Foundations of Computing and Decision Sciences
Volume	46
Issue number	4
DOIs	https://doi.org/10.2478/fcds-2021-0021
Publication status	Published - 1 Dec 2021

Bibliographical note

© 2021 Mojtaba Ghiyasi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords

Data Envelopment Analysis
Overall Efficiency
Resource Allocation

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10.2478/fcds-2021-0021Licence: CC BY-NC-ND 3.0

A Scenario-based Model for Resource Allocation with Price Information
© 2021 Mojtaba Ghiyasi et al., published by Sciendo This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Final published version, 569 KBLicence: CC BY-NC-ND 3.0

Cite this

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A Scenario-based Model for Resource Allocation with Price Information

Abstract

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Keywords

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