Articles
Publication Date: 2025
Operations Management Research (19369743)18(2)pp. 628-653
This study suggests a novel fuzzy super-efficiency data envelopment analysis (FS-DEA) and fuzzy mixed integer programming (F-MIP) for suppliers’ complete ranking and classification regarding sustainability and resilience paradigms. The introduced approach applies FS-DEA to estimate efficiency scores and classify suppliers into efficient and inefficient groups, given their efficiency scores. Then, it employs a two-step F-MIP model to forecast the group membership of the new supplier. The computational process of the two-step F-MIP involves identifying the misclassification and overlap in the first step and managing the overlap in the second step. The suggested approach has the following features, which cannot be found in the traditional use of DEA in the supplier selection context. First, the proposed FS-DEA model can evaluate the performance of suppliers and then yield a full ranking given the zero data. Second, the proposed FS-DEA can classify suppliers into efficient and inefficient groups given deterministic and fuzzy criteria for any level α∈(01]. Third, the proposed FS-DEA uses input saving index and output surplus index to have a feasible solution even when there are non-negative data. Fourth, the proposed F-MIP model minimizes the number of wrong-classified suppliers in the fuzzy context. The developed models rank and classify suppliers of the largest automobile companies in Iran Finally, a sensitivity analysis verifies the validity of the proposed F-MIP model. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Publication Date: 2024
RAIRO - Operations Research (28047303)58(2)pp. 1807-1833
This paper estimates the Most Productive Scale Size (MPSS) in the NDEA model to appraise the sustainability and resilience of the supply chains. As the corresponding input and output criteria are not always accurately measurable, we also introduce the fuzzy version of our proposed NDEA model and apply the proposed model in a case study involving 10 Iranian supply chains of Companies Producing Soft Drinks (CPSDs). The considered-three-echelon supply chains include suppliers, manufacturers, and distributors. Mathematical analysis proves that the MPSS of the considered supply chain can be decomposed as the sum of the MPSS values of the individual stages. Thus, the supply chain is overall MPSS if and only if it is MPSS in every three stages. The results of this study reveal that the Behnoush supply chain is overall MPSS in all three stages, including supplier, manufacturer, and distributor, for any α ∈ {0.1, 0.5, 1}. A sensitivity analysis has been performed to measure the impact of each criterion on the entire supply chain performance. The sensitivity analysis results indicate that the social and resilience criteria significantly impact the performance and ranking of supply chains. Finally, we discuss how to improve the sustainability and resilience of non-MPSS supply chains. © The authors. Published by EDP Sciences, ROADEF, SMAI 2024.
