Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry

Li, Yongbo; Abtahi, Amir-Reza; Seyedan, Seyedeh Mahya

doi:10.1007/s10479-018-3027-4

Cited by 16 publications

(5 citation statements)

References 48 publications

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“…From the literature review in SCM and SCPM, most of the studies analyze figures in countries like India and China (Tseng et al ., 2019; Li et al ., 2019); only a few were developed in the US and Brazil (Dissanayake and Cross, 2018; Sellitto et al ., 2015) as previously reported by Lima-Junior and Carpinetti (2017). Therefore, this study becomes an original conceptual model for performance measurement under resilient and sustainable approach, and an insightful tool in the Mexican automotive industry (one of the car-maker leaders in the world), by contributing in this way to close the gap related to the limited studies that combine resilience and sustainability for SCPM in Latin America.…”

Section: Resultsmentioning

confidence: 99%

“…In order to overcome vagueness and uncertainty, Murray et al (1985) developed the fuzzy Delphi by integrating fuzzy set theory (FST) into the conventional Delphi method. This approach has been widely applied in different fields covering business management, engineering, social sciences, education, among others (Saido et al, 2018;Sulaiman et al, 2020;Li et al, 2019). The proposed procedure for fuzzy Delphi technique (FDT) application is described in step 5 of Figure 1.…”

Section: Fuzzy Delphimentioning

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: 99%

Section: Fuzzy Delphimentioning

confidence: 99%

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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“…Hatami- Marbini (2019) presented a new FNDEA model based on the fuzzy arithmetic approach and applied this model for benchmarking of airport and travel sector. Li et al (2019) proposed a fuzzy network epsilon-based DEA approach for supply chain performance assessment. Sarah & Khalili-Damghani (2019) applied fuzzy type-2 De-Novo programming for resource allocation and target setting in NDEA in the presence of uncertainty.…”

Section: Introductionmentioning

confidence: 99%

An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms

Peykani

Mohammadi

Emrouznejad

2021

Expert Systems with Applications

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This paper presents a novel approach for performance appraisal and ranking of decision-making units (DMUs) with two-stage network structure in the presence of imprecise and vague data. In order to achieve this goal, two-stage data envelopment analysis (DEA) model, adjustable possibilistic programming (APP), and chanceconstrained programming (CCP) are applied to propose the new fuzzy network data envelopment analysis (FNDEA) approach. The main advantages of the proposed FNDEA approach can be summarized as follows: linearity of the proposed FNDEA models, unique efficiency decomposing under ambiguity, capability to extending for other network structures. Moreover, FNDEA approach can be applied for ranking of two-stage DMUs under fuzzy environment in three stages: 1) solving the proposed FNDEA model for all optimistic-pessimistic viewpoints and confidence levels, 2) then plotting the results and drawing the surface of all efficiency scores, 3) and finally calculate the volume of the three-dimensional shape in below the efficiency surface. This volume can be as ranking criterion. Remarkably, the presented fuzzy network DEA approach is implemented for performance appraisal and ranking of investment firms (IFs) with two-stage processes including operational and portfolio management process. Illustrative results of the real-life case study show that the proposed approach is effective and practically very useful.

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“…Li and colleagues [22] presented a fuzzy network data envelopment analysis model based on epsilon concept for assessing the operation of supply chain in the automotive industry.…”

Section: Introductionmentioning

confidence: 99%

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

Khosravi

Fallah

Najafi

2021

Journal of Mathematics

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One of the new concepts that have found a considerable position in many countries of the world is organizing EFQM organizational excellence models. Different organizations and institutions have been evaluated and compared on its basis, and the move towards improvement and promotion is strengthened in them due to creation of competitive space. The EFQM organizational excellence model cannot remove the managers’ and users’ need for the levels of quantitative goals’ operation solely. Thus, requirement for a tool which considers quantitative goals and present environment was felt, and in this manner, various assessment processes were created to be used in different organizations; one of the most important ones is the technique for Data Envelopment Analysis. Evaluating organization efficiency based on the EFQM model is one of the strategic managerial tools in many organizations. The classic DEA models were designed to work with deterministic data and cannot deal with uncertainties in their inputs. The techniques developed so far for fuzzy performance evaluation are also very limited. Given that the inputs and outputs of a real system are not always definite and accurate and that some data can only be expressed in vague verbal and subjective terms, the use of fuzzy sets in modeling is inevitable (Ali et al., 2019). In this paper, a Network Data Envelopment Analysis Model is proposed in fuzzy conditions for assessing units of an organization based on an organizational excellence model. The suggestive model utilizes the privileges of both Fuzzy Network Data Envelopment Analysis and EFQM organizational excellence models simultaneously in order to assess organization’s efficiency. The Fuzzy Network Data Envelopment Analysis model is able to calculate the whole organization’s efficiency as well as organization’s efficiency separately for various phases of the organizational excellence model. Another privilege of the suggested model is that it utilizes fuzzy theory and concepts for modeling and observance of existing noncertainties in the experts’ views while assessing organization’s excellence criteria. The EFQM-fuzzy network DEA model is applied for assessing a holding’s organizational units within the discipline of “project management.”

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Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry

Cited by 16 publications

References 48 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

An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

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