Issue |
RAIRO-Oper. Res.
Volume 56, Number 2, March-April 2022
|
|
---|---|---|
Page(s) | 891 - 910 | |
DOI | https://doi.org/10.1051/ro/2022029 | |
Published online | 14 April 2022 |
Resource allocation for supply chains based on Pareto-optimal two-stage cross-efficiency model
Department of Management Science and Engineering, Business school, Nankai university, No. 121 Baidi Road, Nankai District, Tianjin 300071, P.R. China
* Corresponding author: fanglei@nankai.edu.cn
Received:
11
October
2021
Accepted:
21
February
2022
The contradiction between the scarcity of common resources and the infinity of human demand for these resources has a significant impact on social development. Therefore, resource allocation can make the best use of limited resources in economic activities. Taking the two-stage supply chain where the outputs from the upstream supplier are taken as the inputs for the downstream manufacturer as an example, this paper applies the cross-efficiency model to comprehensively evaluate the efficiency scores of supply chains in the process of resource allocation and explores the relationship between the cross-efficiency of the supply chain and that of two enterprises within this supply chain. Furthermore, the self-interested behavior of enterprises is taken as the Pareto improvement principle to propose a Pareto-optimal two-stage cross-efficiency model, and this model can be used to optimally allocate the limited resources among two-stage supply chains. A common set of weights is determined to make all supply chains DEA efficient. Finally, the proposed model is illustrated to be feasible and effective through a practical application of 27 Iranian resin production companies.
Mathematics Subject Classification: 90B30
Key words: Data envelopment analysis / two-stage cross-efficiency model / Pareto optimality / resource allocation
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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