A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences

Shen, Lianfeng; Olfat, Laya; Govindan, Kannan; Khodaverdi, Roohollah; Diabat, Ali

doi:10.1016/j.resconrec.2012.09.006

Cited by 384 publications

(188 citation statements)

References 63 publications

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“…It includes environmental protection, green process planning, internal control process, continuous monitoring and regulatory compliance, environment-related certificates and environmental protection policies (Ghadimi et al, 2015). Shen et al (2013) emphasized the fast growing awareness of people between economy and environment and mentioned the important role of environmental management systems and policies in mitigation of environmental impacts.…”

Section: Environmental Performance (Environmental)mentioning

confidence: 99%

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Ghadimi

Dargi

Heavey

2017

Computers & Industrial Engineering

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With the global awareness of sustainability issues, sustainable development is being increasingly recognized by governments and industries. In addressing these issues, organizations worldwide have taken initiatives in adopting sustainability practices in their supply chain transferring it to sustainable supply chain management. In order to establish a responsible sustainable supply chain management, an effective way would be to make sure that the potential suppliers for procuring required components are precisely assessed and evaluated based on sustainable criteria. Therefore, this paper proposes a practical decision making approach to evaluate and select the most sustainable suppliers for an automotive spare part manufacturer licensed under a France-based automotive organization. Firstly, a requirement gathering approach, the audition check-list approach, is designed to facilitate the process of data gathering for supplier evaluation based on three pillars of sustainability. Next, the gathered data are processed using a proposed fuzzy inference system to remove impreciseness and vagueness in the gathered sustainability related data. The strength of this model falls into its applicability in data gathering phase which helps decision makers in manufacturing company to perform a fast audition of a typical supplier. Secondly, the final sustainable ranking of suppliers using the proposed fuzzy inference system provide a precise and less uncertain sustainability performance scoring which makes the developed approach a reliable system for making sustainable sourcing decisions. Comparison and sensitivity analysis are performed to evaluate the proficiency of the developed approach. Finally, theoretical and managerial implications together with conclusions of the study are presented.

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Section: Environmental Performance (Environmental)mentioning

confidence: 99%

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Ghadimi

Dargi

Heavey

2017

Computers & Industrial Engineering

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“…TOPSIS is classified as a compromising method in MCDM with the notion that no ideal solution exists, and it permits decisive trade-offs and interaction among the multiple criteria. As a result, this argument implies that discrepancies in one criterion can be compensated or adjusted by some other criteria [30]. In fact, TOPSIS ranks the alternatives by calculating the closeness coefficient of each alternative obtained through PIS and NIS values.…”

Section: The Topsis Methodsmentioning

confidence: 99%

Supplier Selection Problems in Fashion Business Operations with Sustainability Considerations

et al. 2015

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Abstract:In recent years, sustainability has been a major focus of fashion business operations because fashion industry development causes harmful effects to the environment, both indirectly and directly. The sustainability of the fashion industry is generally based on several levels and this study focuses on investigating the optimal supplier selection problem for sustainable materials supply in fashion clothing production. Following the ground rule that sustainable development is based on the Triple Bottom Line (TBL), this paper has framed twelve criteria from the economic, environmental and social perspectives for evaluating suppliers. The well-established multi-criteria decision making tool Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed for ranking potential suppliers among the pool of suppliers. Through a real case study, the proposed approach has been applied and some managerial implications are derived.

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“…Table 1 summarizes economic criteria in supplier evaluation literature. (Shen et al, 2013) (Tseng and Chiu, 2013) (Tuzkaya et al, 2009) (Yeh and Chuang, 2011) Cost and…”

Section: Economic Criteriamentioning

confidence: 99%

An integrated approach to evaluate suppliers in a sustainable supply chain

Petrudi¹,

Abdi²,

Goh³

2018

10.5267/j.uscm

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The purpose of this paper is to propose an integrated multiple criteria decision making (MCDM) approach to analyze interrelationships among sustainability criteria, weight them, and then evaluate suppliers according to these criteria. Data were collected through interviewing with seven experts who are involved in the procurement department of the case. Interpretive structural modelling (ISM), and pairwise comparison questionnaire are used to elicit the existence, strength of relationships among criteria and then weight them by using Fuzzy (Decision Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Preference Programming (FPP), and Analytical Network Process (ANP). Then, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed to evaluate suppliers based on identified and analyzed sustainability criteria. This study provides several implications for practitioners and scholars. First, the results show the efficiency of the proposed approach in practice. Second, respondents state that the proposed approach was very useful in decision making based on interrelationships among criteria, alternatives and policies. Third, findings validate the significant difference in rankings with or without considering interdependencies among criteria.

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A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences

Cited by 384 publications

References 63 publications

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Supplier Selection Problems in Fashion Business Operations with Sustainability Considerations

An integrated approach to evaluate suppliers in a sustainable supply chain

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