A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain

Liu, Yan; Eckert, Claudia; Bertoluci, Gwenola; Petit, Gaëlle

doi:10.1016/j.cie.2018.12.022

Cited by 108 publications

(62 citation statements)

References 98 publications

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“…The Boender and FICSM model performed significantly better than other models over various experimental conditions. Liu et al [28] proposed an evaluation model that integrates triangular fuzzy numbers (TFNs), AHP, and TOPSSI in a novel way to consider quantitative and qualitative criteria as well as objective and subjective data. They implemented a case of sustainable agrifood into the proposed model.…”

Section: Fuzzy Ahp Methodologymentioning

confidence: 99%

“…Even though AHP is commonly used, this algorithm cannot adequately resolve the inherent uncertainties and imprecisions associated with mapping decision maker's perceptions into exact numbers [16]. Hence, numerous previous studies have combined the fuzzy set theory with AHP to solve uncertain issues [26][27][28][29][30][31]. Zhü [32] proposed that fuzzy AHP (FAHP) cannot resolve uncertain questions.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

Lin¹

2020

IJCIS

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Supply chain finance (SCF), which has the key concept of the delivery of credit, is a new type of financial service that can enhance the financial efficiency of a supply chain. Using the transaction records from the core operations (CO) of the members, financers can provide a higher level of cash flow to the ecosystem. Moreover, financial sectors can upgrade their operations through SCF activities. However, while SCF services can help financial sectors improve their operations, there are many risks implied in SCF activities from CO to relative members. Therefore, this paper presents a novel model that applies a combination of triangular fuzzy numbers and the analytic hierarchy process (AHP) to the decision-making process to evaluate the decision behaviors regarding the preference the CO in the smartphone industry supply chain for financers in the SCF service. Academically, the FAHP-based decision-making framework can provide the decision makers and administrators of financial institutions with valuable guidance for measuring the optimal CO of the smartphone industry in the SCF ecosystem. Commercially, the proposed model could provide administrators with a useful tool to assess the optimal CO of the smartphone industry within the SCF ecosystem for financers.

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Section: Fuzzy Ahp Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

Lin¹

2020

IJCIS

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“…Quantitative criteria are those measured by numerical values which tend to be objective data and based on facts, while qualitative criteria are those measured by linguistic expressions. Motivated by the advantage of the heterogeneous information, it has been effectively used to address various types of decision-making problems, such as product ranking [16], cloud computing service evaluation [17], and supplier evaluation [18].…”

Section: Methodsmentioning

confidence: 99%

“…If the assessment value is given as the crisp number, then Step 2 By using Equations (18) to (20), the Qsd, Qdd, and Qud of each assessment value is derived and shown in Table 3. Table 3.…”

Section: Methodsmentioning

confidence: 99%

A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method

et al. 2019

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The third-party platform named ECO system is used by many transnational companies to monitor the sustainability performance of their global suppliers because of its easiness and shareability. Nonetheless, methods used in this platform for evaluating and calculating the sustainability performance of the alternative suppliers are criticized for their lack of accuracy. In response to these problems, this paper presents a heterogeneous multi-criteria decision-making (MCDM) method based on interval-valued intuitionistic fuzzy--an acronym in Portuguese for interactive multi-criteria decision making (IVIF--TODIM) to improve the efficiency of the evaluation model. Considering the varying features of evaluation criteria, i.e., either quantitative or qualitative, the evaluation values under different criteria are expressed in their appropriate information types. In this paper, a general method based on the relative closeness to the technique for order preference by similarity to ideal solution (TOPSIS) method is applied for aggregating the heterogeneous assessment information, including crisp numbers, interval numbers, and triangular fuzzy numbers (TFNs), into interval-valued intuitionistic fuzzy numbers (IVIFNs). Then, the TODIM (an acronym in Portuguese for interactive multi-criteria decision making) is extended and employed to prioritize the alternative suppliers. Finally, the applicability and effectiveness of the proposed method is verified by a practical example of polymer manufacturing company and a comparison analysis with existing methods.

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“…Liu et al [40] used the BWM and alternative queuing method (AQM) to evaluate and select sustainable suppliers under the interval-valued intuitionistic uncertain linguistic environment. Liu et al [41] combined triangular fuzzy numbers, AHP, and TOPSIS to improve the sustainable performance of an agri-food value chain. Liu et al [11] developed an ordered weighted hesitant fuzzy group decision-making model for green supplier selection, and Wang et al [14] proposed a MCDM method with q-rung interval-valued orthopair fuzzy information to solve the green supplier selection problem.…”

Section: Literature Reviewmentioning

confidence: 99%

An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry

et al. 2019

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Nowadays, sustainable supply chain management (SSCM) has received considerable attention because of strict government requirements and increased pressure from the public. In the SSCM, selecting suitable suppliers plays a significant role in improving the overall sustainability performance of a company. Therefore, this article aims to develop a modified VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) technique for sustainable supplier evaluation and selection, that uses ordered weighted distance operators in the aggregation of picture fuzzy information. Concretely, we first propose the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator and the picture fuzzy Euclidean-ordered weighted standardized distance (PFEOWSD) operator, and extended them by using the hybrid average operator. Then, we develop a sustainable supplier selection approach by combining the picture fuzzy distance operators and the VIKOR method. The new approach can manipulate attitudinal character of the classical VIKOR method, so that a decision maker can take decisions according to his or her preference. Further, by using the PFOWSD operator, one can parametrize the VIKOR method from the maximum to the minimum result. Thus, the information obtained using the new sustainable supplier selection approach is much more complete. Finally, a practical case example in the beef supply chain is given to explain the proposed picture fuzzy-ordered weighted distance (PFOWD)-VIKOR model, and the results are compared with current relevant representative approaches to verify its feasibility and superiority.

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A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain

Abstract: Gaëlle (2019). A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain. Computers & Industrial Engineering, 127 pp. 196-212. For guidance on citations see FAQs.

Cited by 108 publications

References 98 publications

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method

An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry

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