Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach

Izadikhah, Mohammad; Azadi, Majid; Toloo, Mehdi; Hussain, Farookh Khadeer

doi:10.1016/j.asoc.2021.107879

Cited by 44 publications

(5 citation statements)

References 134 publications

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“…As a result, 15 criteria were selected: resilient (7), economic (2), environmental (2) and social (4) (see Table 6, similar with the approach adopted by Ramezankhani et al . (2018) and Izadikhah et al . (2021) that followed these four dimensions.…”

Section: Resultsmentioning

confidence: 97%

“…However, only very few have studied the supply chain performance measurement (SCPM) field. Izadikhah et al (2021) assessed the efficiency in public transportation SC, and Talukder et al (2021) introduced a multiindicator framework for dairy SC, leaving the connection of sustainability and resiliency in the SCM insufficiently explored. This brought the need of more studies that tend a bridge aiming to close this gap (Mehrjerdi and Shafiee, 2021;Hosseini et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…However, only very few have studied the supply chain performance measurement (SCPM) field. Izadikhah et al . (2021) assessed the efficiency in public transportation SC, and Talukder et al .…”

Section: Introductionmentioning

confidence: 99%

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Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi

Vergara

Saucedo-Martínez

Lucio

2023

BIJ

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PurposeIn the supply chain performance measurement (SCPM) there seems to be no consensus about measures for performance evaluation and suitable criteria from resilience and sustainability paradigms. In this way, this research aims to identify the attributes that a Per style, all abbreviations need to be expanded at the first instnace in both the abstract and the main body of the paper, after which only abbreviations should be used supply chain (SC) should follow to be resilient and sustainable, and then to evaluate their importance according to industry experts.Design/methodology/approachThis study suggests a hybrid approach. The authors identified the most commonly used criteria using literature review, and then applied fuzzy Delphi technique (FDT) with the objective of surveying experts to find the attributes used in practice and asked to assess their relevance.FindingsThe resilient-sustainable supply chain (RSSC) is formed by four dimensions: resiliency, economic, environmental and social. A total of 15 criteria are identified, and the most important are visibility, flexibility, supply chain risk management (SCRM) culture, work conditions and communication.Research limitations/implicationsThis study used a literature review, so it is subject to a time frame, and the criteria could no longer be relevant as the time and business conditions change. Also, the findings may not be completely applicable throughout different industries, and therefore the finding cannot be replicated to other businesses.Practical implicationsThis study will assist decision-makers among other interested parties to construct and/or strengthen an integrated SC that mixes resiliency and sustainability.Originality/valueThis study contributes to the state-of-art by producing a characterization of the resilient and sustainable supply chain for the automotive industry. Also, this research produces a new and holistic framework for resilient and sustainable SCPM supporting the decision-making process.

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Section: Resultsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi

Vergara

Saucedo-Martínez

Lucio

2023

BIJ

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“…Future studies could address this limitation by incorporating a more comprehensive approach that considers the broader contextual factors influencing hospital performance within uncertain environments. Also, to further advance research in this field, alternative and widely used uncertain programming techniques, like uncertainty set-based robust optimization [ 49 , 98 , 99 , 100 , 101 ], scenario-based robust optimization [ 102 , 103 , 104 , 105 , 106 ], robust possibilistic programming [ 107 , 108 , 109 , 110 , 111 ], and fuzzy chance-constrained programming [ 112 , 113 , 114 , 115 , 116 ], can be incorporated to effectively address the challenges posed by data uncertainty.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis

Peykani,

Pishvaee

2024

Healthcare

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In the context of healthcare systems, the performance evaluation of hospitals plays a crucial role in assessing the quality of healthcare systems and facilitating informed decision-making processes. However, the presence of data uncertainty poses significant challenges to accurate performance measurement. This paper presents a novel uncertain common-weights data envelopment analysis (UCWDEA) approach for evaluating the performance of hospitals under uncertain environments. The proposed UCWDEA approach addresses the limitations of traditional data envelopment analysis (DEA) models by incorporating the uncertainty theory (UT) to model the inherent uncertainty in input and output data. Also, by utilizing a common set of weights (CSW) technique, the UCWDEA method provides a more robust and reliable assessment of hospital performance. The main advantages of the proposed UCWDEA approach can be succinctly summarized as follows. Firstly, it allows for the comparison of all hospitals on a consistent basis to calculate a realistic efficiency score, rather than an overly optimistic efficiency score. Secondly, the uncertain common-weights DEA approach exhibits linearity, enhancing its applicability. Thirdly, it possesses the capability to extend its utility under various other prevalent uncertainty distributions. Moreover, it enhances the discriminatory power of results, facilitates the ranking of hospitals in the presence of data uncertainty, and aids in identifying the sensitivity and stability levels of hospitals towards data uncertainty. Notably, in order to showcase the pragmatic application and efficacy of the uncertain common-weights DEA model, a genuine dataset has been utilized to evaluate the efficiency of 20 public hospitals in Tehran, all of which are affiliated with the Iran University of Medical Sciences. The results of the experiment demonstrate the efficacy of the UCWDEA approach in assessing and ranking hospitals amidst uncertain conditions. In summary, the research outcomes can offer policymakers valuable insights regarding hospital performance amidst data uncertainty. Additionally, it can provide practical recommendations on optimizing resource allocation, benchmarking performance, and formulating effective policies to augment the overall efficiency and effectiveness of healthcare services.

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“…Some recent papers on supply chain and sustainable supply chain uncertainty have also been developed and evaluated the performance of these chains. Izadikhah et al [24,25,26].…”

Section: Literature Reviewmentioning

confidence: 99%

Building a sustainability in a two-echelon closed loop supply chains: a mathematical approach for permissible delay in payment and backlogging

et al. 2022

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This paper develops a supply chain framework where payments take place with permissible delays. Unlike other studies, the supply chain is modelled as a closed-loop system, in which returning the products is incorporated into classical supply chain models and the full backorder is permitted. Among the most important research questions is the order amount of chain members to maximize Retailer delays and the profit chains. The study determines the portion of the time interval in which inventory system experiences shortage and determines the optimal replenishment time and the frequency. Ultimately, it was shown that, if the delay from the supplier to the retailer increases, the chain profit also increases. For all three proposed models, a closed-form solution is developed and a solution algorithm is presented. Applying the coordinated model considerably increases the total profit earned by the whole SC as well as all SC members. An example of our model is a bottle supplier for the drink producer. Another example is military oriented. Furthermore, the study elaborates the feasibility of the suggested models by means of some numerical examples and discusses the results using sensitivity analysis.

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Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach

Cited by 44 publications

References 134 publications

Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi

Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi

Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis

Building a sustainability in a two-echelon closed loop supply chains: a mathematical approach for permissible delay in payment and backlogging

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