An integrated approach of ISM and fuzzy TOPSIS for supplier selection

Tham, Tran Thi; Duc, Nguyen Trong Tri; Dung, Trần Thị Mỹ; Nguyen, Hong Phuc

doi:10.1504/ijpm.2020.110079

Cited by 6 publications

(4 citation statements)

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“…The findings of this study demonstrate the significance of considering environmental sustainability in supplier selection and emphasize the need to consider sustainability when choosing suppliers. These results align with the findings presented in previous research [11,79,80,83,[87][88][89][90][91]. Accordingly, it is recommended that companies prioritize suppliers who actively strive to reduce energy and material consumption, focus on reusing recycled materials, utilize environmentally friendly materials in when manufacturing products, design products with standardized parts for easy reuse, facilitate product disassembly, employ life cycle analysis to assess environmental impacts, have official guidelines for sustainable product design, continuously update processes to minimize environmental impacts, and promote eco-friendly relationships in their production processes.…”

Section: Managerial Implicationsupporting

confidence: 93%

“…The results demonstrate the importance of considering the environmental sustainability of suppliers when selecting them. This finding aligns with the results of previous studies [53,54,60,72,80,81,83,84]. It highlights the significance of managing and coordinating relationships with suppliers and incorporating environmental sustainability practices into a supply chain for long-term success.…”

Section: Managerial Implicationsupporting

confidence: 90%

“…Sustainable Life cycle assessment system [79,80,87,88] Long-term relationships [11,83,89,90] Sustainabfle measuring criteria [10,84,91] Reputation [11,83,87,89] Cooperation among various entities in a SC [60,91]…”

Section: Criterion Sub-criterion Referencesmentioning

confidence: 99%

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Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

Ghazvinian,

Feng,

Feng

et al. 2024

Sustainability

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This study aims to propose an integrated approach for supplier selection based on the lean, agile, resilience, green, and sustainable (LARGS) paradigm. This approach was validated using structural equation modelling (SEM) and the intuitionistic fuzzy TOPSIS method. A comprehensive literature review was conducted, identifying twenty-six criteria, which were then consolidated into five main criteria. A questionnaire was distributed to 237 individuals from manufacturing companies listed on the Tehran Stock Exchange, and the collected data were analyzed using third-order factor analysis and the partial least squares method. Subsequently, the proposed integrated approach was applied to evaluate four suppliers in an intuitionistic fuzzy environment, utilizing expert opinions and a case study on the automotive industry. The results demonstrate the effectiveness and practicality of the proposed approach in terms of prioritizing and selecting suitable suppliers according to LARGS criteria. In conclusion, this study contributes to the existing literature by proposing an integrated approach that addresses the decision-making challenges in supplier selection. This approach offers a practical tool for managers seeking to enhance sustainable supply chain performance from the LARGS perspective.

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Section: Managerial Implicationsupporting

confidence: 93%

Section: Managerial Implicationsupporting

confidence: 90%

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Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

Ghazvinian,

Feng,

Feng

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Meanwhile, there are several common objectives in order allocation or supplier selection, such as maximizing profit [5] or minimizing total cost [2]. Besides, there are many considerations taken by any companies in selecting suppliers or determining order quantity, such as price [6], lead time [7], location [8], responsiveness [9], flexibility [10], long term relationship [11], and many more. Many studies on the supplier selection or order allocation problem utilized metaheuristic methods, such as genetic algorithm (GA) [2], grey wolf optimizer (GWO) [1], teaching learning-based optimizer (TLBO) [12], and so on.…”

Section: Introductionmentioning

confidence: 99%

Multiple Interaction Optimizer: A Novel Metaheuristic and Its Application to Solve Order Allocation Problem

2023

IJIES

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Order allocation problem is a crucial problem in the manufacturing system. Many studies have been carried out to overcome this problem. On the other hand, future studies related to this problem are still available due to its complexity, circumstance, and methods. This work develops a new metaheuristic called a multiple interaction optimizer (MIO). MIO has distinct mechanics in finding the optimal solution. MIO consists of two phases. In the first phase, each agent interacts with some randomly selected agents in the population. The guided search is conducted in every interaction. In the second phase, each agent carries out a local search which linearly reduces the search space during the iteration. Three tests are carried out on the performance of MIO. In the first test, the MIO is challenged to solve 23 functions. The second test is performed as the investigation of the hyper parameters. In the third test, MIO is challenged to solve the order allocation problem with the objective is minimizing the total cost, total lateness, and total defect. In this test, MIO is benchmarked with five metaheuristics: particle swarm optimization (PSO), marine predator algorithm (MPA), grey wolf optimizer (GWO), slime mould algorithm (SMA), and golden search optimizer (GSO). The result indicates that MIO is superior in solving both 23 functions and order allocation problems. In the theoretical test, MIO outperforms PSO, MPA, GWO, SMA, and GSO in 22,21,22,19,and 18 functions respectively. MIO is also superior in achieving minimum cost, minimum lateness, and minimum total defect in solving order allocation problems.

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Resilient Sustainable Supplier Selection Criteria Assessment for Economics Enhancement in Industry 4.0 Context

Benabdellah

Bennis

Benabdellah

et al. 2022

IFIP Advances in Information and Communication Technology

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An integrated approach of ISM and fuzzy TOPSIS for supplier selection

Cited by 6 publications

References 0 publications

Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

Multiple Interaction Optimizer: A Novel Metaheuristic and Its Application to Solve Order Allocation Problem

Resilient Sustainable Supplier Selection Criteria Assessment for Economics Enhancement in Industry 4.0 Context

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