Sustainable supplier selection under must-be criteria through Fuzzy inference system

Jain, Naveen; Singh, Avinash

doi:10.1016/j.jclepro.2019.119275

Cited by 135 publications

(89 citation statements)

References 101 publications

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“…The authors showed the application of their model with implementing in a real case study. Jain and Singh ( 2020 ) investigated the supplier selection problem considering sustainable development dimensions under must-be criteria using the FIS method. They selected a real case study at the iron and steel industry in India to show the performance of the proposed framework.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the two last decades, supply chain managers have given more attention to sustainability to mitigate the effects of their activities on environment, improve their long-term relationship, as well as increase their end-customer satisfaction in their supply chain (Amindoust 2018 ; Stević et al 2020 ; Vieira et al 2020 ). In this regard, many researchers stated that evaluation of suppliers’ performance, as the paramount part of the upstream of supply chain, according to economic and environmental criteria along with social criteria (sustainability criteria), is the key issue in improving the concept of sustainability in a supply chain (Chen et al 2020 ; Fallahpour et al 2017 ; Jain and Singh 2020 ; Kannan 2018 ; Vahidi et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

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A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

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One of the major challenges of the supply chain managers is to select the best suppliers among all possible ones for their business. Although the research on the supplier selection with regards to green, sustainability or resiliency criteria has been contributed by many papers, simultaneous consideration of these criteria in a fuzzy environment is rarely studied. Hence, this study proposes a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem for a real case study of palm oil industry in Malaysia. Firstly, the resilient-based sustainable criteria are localized for the suppliers' performance evaluation in palm oil industry of Malaysia. Accordingly, 30 criteria in three different aspects (i.e. general, sustainable and resilient) are determined by statistical tests. Moreover, a hyper-hybrid model with the use of FDEMATEL (fuzzy decision-making trial and evaluation laboratory), FBWM (fuzzy best worst method), FANP (fuzzy analytical network process) and FIS (fuzzy inference system), simultaneously is developed to employ their merits in an efficient way. In this framework, regarding the outset, the relationships among the criteria/sub-criteria are obtained by FDEMATEL method. Then, initial weights of the criteria/sub-criteria are measured by FBWM method. Next, the final weights of criteria/sub-criteria considering the interrelationships are calculated by FANP. Finally, the performance of the suppliers is evaluated by FIS method. To show the applicability of this hybrid decisionmaking framework, an industrial case of palm oil in Malaysia is presented. The findings indicate the high performance of the proposed framework in this concept and identify the most important criteria including the cost in general aspects, resource consumption as the most crucial sustainable criterion and agility as the most important resilient criterion.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…In order to deal with uncertainty, they employed probability theory. Jain and Singh (2020) proposed a two‐steps decision‐making model using the fuzzy Kano philosophy and fuzzy interference system. They implemented their proposed approach in the steel and iron industry in India, which has shown the effectiveness of the framework.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

et al. 2020

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Due to mounting environmental and social challenges, supplier selection has become one of the most critical tasks of project‐oriented organizations. Because supplier selection can affect the long‐term success and profitability of the organizations and their projects, directly, embracing sustainability can add value in the equation. Considering sustainability measures can positively guide project managers in making better decisions for the projects in the long term. Therefore, the current study attempts to provide a conceptual model for selecting the best supplier based on a sustainability framework in megaprojects. Meanwhile, decision‐making methods can be employed as a proper tool to find the best supplier. Ordinal priority approach (OPA) is a recent development in multiple criteria decision making (MCDM), while it has many benefits compared with other methods like analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). However, this method cannot consider multiple ranks during the decision‐making process, and using an uncertainty approach feels strongly. Grey systems theory (GST) can consider uncertainties with no need for large sample or proposing membership function. Hence, the current study employed the GST to consider multiple ranks for criteria and alternatives in the OPA method. This is the first time that a sustainable supplier selection framework has been presented for megaprojects with the aid of the Grey OPA (OPA‐G) method. Finally, a case study has been examined to evaluate the performance of the proposed approach. The results show that the proposed approach can be used in real‐world situations and it has acceptable performance under uncertainty conditions.

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“…However, in the FIS approach, the higher the number of criteria, the more complex the RBA, which would be a challenge for decisionmakers (DMs). There are some other challenges related to the formulating FIS model for an optimized SSS such as: (1) identifying the most critical sustainability criteria in economic, social, and environmental aspects; (2) establishing quantified sub-criteria for each sustainability criteria based on current industry approaches; and (3) assessing the sustainability performance index for any supplier [23].…”

Section: Figurementioning

confidence: 99%

Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

et al. 2021

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Due to increase in the public and stakeholders’ awareness regarding economic, environmental, and social issues, the construction industry tends to follow the sustainability policies and practices in supply chain management. Hence, one of the most crucial aspects for a construction company in this regard is sustainable supplier selection, and, to this end, an accurate and reliable model is required. In this paper a hybrid fuzzy best-worst method and fuzzy inference system model is developed for sustainable supplier selection. In the first phase of this study, after determining 19 criteria in three main aspects, the final weight of each aspect and criterion is obtained using fuzzy best-worst method approach. In the second phase, the most sustainable supplier is selected by running the weighted fuzzy inference system both in aspect and criterion level, providing more accurate results compared to the use of other available models. Finally, two different tests are employed to validate the results and evaluate the robustness of the proposed model. The novel developed model enables the decision-maker to simulate the decision-making process, reduce the calculations loads, consider a large number of criteria in decision making, and resolve the inherited uncertainties in experts’ responses.

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Sustainable supplier selection under must-be criteria through Fuzzy inference system

Cited by 135 publications

References 101 publications

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

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