The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection

Keskin, Gürkan; İlhan, Sevinç; Özkan, Coşkun

doi:10.1016/j.eswa.2009.06.004

Cited by 168 publications

(24 citation statements)

References 26 publications

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“…Product liability [25] Being responsible for customer health and safety, providing products and services with high quality and advertising based on real information.…”

Section: Social Criteriamentioning

confidence: 99%

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

Jiang

Song

et al. 2018

Sustainability

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With the growing awareness of environmental and social issues, sustainable supply chain management (SSCM) has received considerable attention both in academia and industry. Supplier selection plays an important role in the successful implementation of sustainable supply chain management, because it can influence the performance of SSCM. Sustainable supplier selection is a typical multi-criteria decision-making problem involving subjectivity and vagueness. Although some previous researches of supplier selection use fuzzy approaches to deal with vague information, it has been criticized for requiring much priori information and inflexibility in manipulating vagueness. Moreover, the previous methods often omit the environmental and social evaluation criteria in the supplier selection. To manipulate these problems, a new approach based on the rough set theory and ELECTRE (ELimination Et Choix Traduisant la REalité) is developed in this paper. The novel approach integrates the strength of rough set theory in handling vagueness without much priori information and the merit of ELECTRE in modeling multi-criteria decision-making problem. Finally, a case study of sustainable supplier selection for solar air-conditioner manufacturer is provided to demonstrate the application and potential of the approach.

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“…Product liability [25] Being responsible for customer health and safety, providing products and services with high quality and advertising based on real information.…”

Section: Social Criteriamentioning

confidence: 99%

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

Jiang

Song

et al. 2018

Sustainability

View full text Add to dashboard Cite

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“…New launch of products, supply capacity, product advantage, production facilities [67,79,84] Financial capability…”

Section: Criteria Explanations Related Attributes Referencesmentioning

confidence: 99%

“…Health and safety incidents, health and safety practices [4,50,67,74,82,109] Local community influence…”

Section: Criteria Explanations Related Attributes Referencesmentioning

confidence: 99%

An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation

Zhou

Zhang

2018

Sustainability

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With a great emphasis on both social and environmental responsibilities, sustainable supply chain management has gradually been adopted and promoted as an innovative business model. In sustainable supply chain practice, the choice of sustainable suppliers relates to the long-term development of a company. While the environmental performance of suppliers has been commonly considered, the social dimension has not yet received enough attention. This paper first proposes a novel criteria system for evaluating sustainable suppliers from three aspects and six dimensions, and then introduces an integrated evaluation model with a novel hybrid information aggregation. To verify the applicability and effectiveness of the proposed method, a real case of a large supermarket is introduced and analyzed. The research results show that (1) the indicator system based on Triple Bottom Line theory can serve as a framework of sustainable supplier selection for manufacturing and circulation enterprises; (2) the introduction of hybrid information aggregation can effectively handle the uncertainties of indicator scores under the realistic fuzzy environment and objectively reflect the intentions of the scorers; and (3) in comparison with the TOPSIS algorithm, the priority order finally obtained is consistent, but the proposed model shows more robustness in the sensitivity test.

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“…Indicates firms concentrate on safety and health of their operations. [41][42][43][44] Training, education and community development (SSC2) This is in association with the employers' influence in training and education on their employees. [42,43] Contractual stakeholders' influence (SSC3) This is related to given attention by potential suppliers to their stakeholders.…”

Section: Criteria Description Referencesmentioning

confidence: 99%

Understanding Interdependencies among Social Sustainability Evaluation Criteria in an Emerging Economy

et al. 2020

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Organizations need to consider the triple bottom line (3BL) model of sustainability to maintain competitiveness in global markets. Of 3BL, environmental and economic sustainability pillars are more often discussed, as they are most directly related to a firm's bottom line and regulatory compliance. Unfortunately, social sustainability receives relatively little attention even though it remains a significant threat to organizational sustainment, particularly in emerging economies. This study builds upon a social sustainability evaluation framework to investigate the interrelationships among social sustainability criteria in an effort to better understand how to improve social sustainability performance. A unique hybrid of interpretive structural modeling (ISM) and hesitant fuzzy matrix of cross impact multiplications applied to classification (HF-MICMAC) methodology is introduced and employed to determine the interrelationships (drivers and dependences) among social sustainability criteria. Then, a manufacturing company is used as the backdrop to test the efficacy of the expanded framework. The findings can aid industry decision-makers, especially in developing countries, to better understand and manage social issues, improve social dimension of sustainability, enhance the sustainability in operations and shift towards sustainable development.

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The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection

Cited by 168 publications

References 26 publications

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation

Understanding Interdependencies among Social Sustainability Evaluation Criteria in an Emerging Economy

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