An Integrated Approach for Sustainable Supplier Selection in Fuzzy Environment

Supplier selection is one of the important processes in supply chain management. Regarding the emergence of sustainability issues in recent decades, companies have incorporated these issues in conventional supplier selection in order to meet governmental legislations and market demands. These issues have been noticed by various researchers. However, there are limited research activities which considered all aspects of sustainability for supplier selection problem as an integrated assessment. In this paper, an integrated approach of Fuzzy Analytical Hierarchy Process and fuzzy logic has been proposed in order to solve sustainable supplier selection problem. Fuzzy analytical hierarchy process has been used to calculate the weight of sustainable criteria and sub criteria. Then, fuzzy logic was utilized in order to assess the suppliers based on the weights acquired by Fuzzy analytical hierarchy process. Finally, a case study of petroleum industry has been carried out in order to show the validity of proposed approach.

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Dynamic modeling of sustainable operation in green manufacturing environment

Journal of Manufacturing Technology Management ◽

10.1108/jmtm-11-2014-0120 ◽

2015 ◽

Vol 26 (8) ◽

pp. 1201-1217 ◽

Cited By ~ 15

Author(s):

Ifeyinwa Juliet Orji ◽

Sun Wei

Keyword(s):

Supplier Selection ◽

Green Manufacturing ◽

System Variable ◽

Content Type ◽

Fuzzy Environment ◽

Sustainable Operation ◽

System Supplier ◽

Sustainable Supplier Selection ◽

Tools And Techniques ◽

Decision Making Model

Purpose – Globally, supply chains compete in a complex and rapidly changing environment. Hence, sustainable supplier selection has become a decisive variable in the firm’s financial success. This requires reliable tools and techniques to enhance understanding on how supplier behavior evolves with time and to select the best sustainable supplier. System dynamics (SD) is an approach to investigate the dynamic behavior in which the system alterations correspond to the system variable changes. Fuzzy logic usually solves the challenges of imprecise data and ambiguous human judgment. The paper aims to discuss these issues. Design/methodology/approach – This work presents a novel modeling approach for integrating information on supplier behavior in fuzzy environment with SD simulation modeling technique. This results in a more reliable and responsible decision-support system. Supplier behavior with respect to relevant sustainability criteria were sourced through expert interviews and simulated in Vensim to select the best possible sustainable supplier. The simulation runs were carried out in four scenarios, namely, past, current, future and average time horizon for four different suppliers. A multi-criteria decision-making model was presented to compare results from the systems dynamics model. Findings – An increase in the rate of investment in sustainability by the different suppliers causes an exponential increase in total sustainability performance of the suppliers. The growth rate of the total performance of suppliers outruns their rate of investment in sustainability after about 12 months. Originality/value – While a significant work exists regarding supplier selection, little work has been found that investigates how to insure sustainable suppliers maintain their status for a long period of time.

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An integrated approach based on the decision-theoretic rough set for resilient-sustainable supplier selection and order allocation

Kybernetes ◽

10.1108/k-11-2020-0821 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Pengyun Zhao ◽

Shoufeng Ji ◽

Yaoting Xue

Keyword(s):

Rough Set ◽

Supplier Selection ◽

Integrated Approach ◽

Improved Genetic Algorithm ◽

Vikor Method ◽

Order Allocation ◽

Content Type ◽

Sustainable Performance ◽

Sustainable Supplier Selection ◽

Practical Implications

PurposeThe purpose of this paper is to propose an innovative integration method based on decision-theoretic rough set and the extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) methods to address the resilient-sustainable supplier selection and order allocation (SS/OA) problem.Design/methodology/approachSpecifically, a two-stage approach is designed in this paper. First, the decision-theoretic rough set is employed to calculate the rough number for coping with the subjective uncertainty of data and assigning the weights for a resilient-sustainable evaluation criterion. On this basis, the supplier resilient-sustainable performance is ranked in combination with the extended VIKOR method. Second, a novel multi-objective optimization model is proposed that applies an improved genetic algorithm to select the resilient-sustainable supplier and allocate the corresponding order quantity under a multi-tier supplier network.FindingsThe results reveal that joint consideration of resilience and sustainability is essential in the SS/OA process. The method proposed in this study based on decision-theoretic rough sets and the extended VIKOR method can handle imprecise information flexibly, reduce information loss and obtain acceptable solutions for decision-makers. Numerical cases validate that this integrated approach can combine resilience and sustainability for effective and efficient SS/OA.Practical implicationsThis paper provides industry managers with a new perspective on SS/OA from a resilience and sustainability perspective as a basis for best practices for industry resilience and sustainability. The proposed method helps to evaluate the resilient-sustainable performance of potential suppliers, which is applicable to solving real-world SS/OA problems and has important practical implications for the resilient-sustainable development of supply chains.Originality/valueThe two interrelated priorities of resilience and sustainability have emerged as key strategic challenges in SS/OA issues. This paper is the first study of this issue that uses the proposed integrated approach.

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An integrated approach for a sustainable supplier selection based on Industry 4.0 concept

Environmental Science and Pollution Research ◽

10.1007/s11356-021-17445-y ◽

2021 ◽

Author(s):

Alireza Fallahpour ◽

Kuan Yew Wong ◽

Srithar Rajoo ◽

Amir M. Fathollahi-Fard ◽

Jurgita Antucheviciene ◽

...

Keyword(s):

Industry 4.0 ◽

Supplier Selection ◽

Integrated Approach ◽

Sustainable Supplier Selection

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A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment

Sustainability ◽

10.3390/su11195413 ◽

2019 ◽

Vol 11 (19) ◽

pp. 5413 ◽

Cited By ~ 9

Author(s):

Patchara Phochanikorn ◽

Chunqiao Tan

Keyword(s):

Decision Making ◽

Supply Chain ◽

Supplier Selection ◽

Multi Criteria Decision Making ◽

Sustainable Supply Chain ◽

Suggested Approach ◽

Intuitionistic Fuzzy ◽

Fuzzy Environment ◽

Sustainable Supplier Selection ◽

Decision Making Model

The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.

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Corrigendum to “A group decision making sustainable supplier selection approach using extended topsis under interval-valued Pythagorean fuzzy environment” [Expert Systems with Applications 121 (2018) 1–17]

Expert Systems with Applications ◽

10.1016/j.eswa.2019.01.053 ◽

2019 ◽

Vol 123 ◽

pp. 386

Author(s):

Chunxia Yu ◽

Yifan Shao ◽

Kai Wang ◽

Luping Zhang

Keyword(s):

Decision Making ◽

Expert Systems ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Fuzzy Environment ◽

Sustainable Supplier Selection ◽

Selection Approach ◽

Interval Valued

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Addressing a sustainable supplier selection and order allocation problem by an integrated approach: a case of automobile manufacturing

Journal of Industrial and Production Engineering ◽

10.1080/21681015.2021.1877202 ◽

2021 ◽

pp. 1-15

Author(s):

Hossein Beiki ◽

Seyed Mohammad Seyedhosseini ◽

Vadim V. Ponkratov ◽

Angelina Olegovna Zekiy ◽

Sergei Anatolyevich Ivanov

Keyword(s):

Supplier Selection ◽

Integrated Approach ◽

Allocation Problem ◽

Order Allocation ◽

Automobile Manufacturing ◽

Sustainable Supplier Selection

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AN INTEGRATED MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR SUSTAINABLE SUPPLIER SELECTION UNDER PICTURE FUZZY ENVIRONMENT

Technological and Economic Development of Economy ◽

10.3846/tede.2020.12110 ◽

2020 ◽

Vol 26 (3) ◽

pp. 573-598 ◽

Cited By ~ 17

Author(s):

Juan-juan Peng ◽

Chao Tian ◽

Wen-yu Zhang ◽

Shuai Zhang ◽

Jian-qiang Wang

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Evaluation Criteria ◽

Multi Criteria Decision Making ◽

Sustainable Supply Chain ◽

Vikor Method ◽

Minimization Principle ◽

Fuzzy Environment ◽

Sustainable Supplier Selection ◽

Exponential Entropy

Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.

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