ORCID
- Lijun Tang: 0000-0002-6815-0625
Abstract
Due to the existence of dual-role factors, it is difficult to evaluate the production efficiency of two-stage systems. Unlike single-stage systems, two-stage systems involve intermediate products that serve as both inputs and outputs. Hence, to overcome existing obstacles, we propose a novel approach called the two-stage enhanced Russell model with dual-role factors (T-ERM-D) to assess the overall efficiency of two-stage production systems. Furthermore, divisional models are developed to evaluate the efficiency of each individual stage. The 0-1 programming is applied to deal with dual-role factors. To handle the non-linearity of these models, the Charnes-Cooper transformation is employed to convert them into linear ones. Using the proposed models, we evaluate efficiency scores of 10 supply chains involving suppliers and producers. By comparing the results obtained from new models with those obtained from models that do not consider dual-role factors, we validate the advantages of the proposed approach.
DOI Link
DOI
10.21078/JSSI-2024-0012
Publication Date
2024-10-25
Publication Title
Journal of Systems Science and Information
Volume
12
Issue
5
ISSN
1478-9906
Keywords
data envelopment analysis, dual-role factors, efficiency assessment, enhanced Russell model, two stages
First Page
624
Last Page
646
Recommended Citation
Ren, J., Ma, C., Tang, L., Chen, C., & Feng, C. (2024) 'A Method for Assessing the Efficiency in Two-Stage Production Systems in the Presence of Dual-Role Factors', Journal of Systems Science and Information, 12(5), pp. 624-646. Available at: 10.21078/JSSI-2024-0012