2022
DOI: 10.1007/s11356-022-20214-0
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An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains

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Cited by 11 publications
(8 citation statements)
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“…On the other hand, the outcomes obtained through the BWM should be compared with those achieved using the simple additive weighting (SAW) method. Darvazeh et al [58] applied the SAW method to determine the optimal number of suppliers, considering a set of leagile (lean and agile) and environmentally sustainable criteria. This approach involves assigning weights to each criterion and evaluating each alternative based on these assigned weights.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, the outcomes obtained through the BWM should be compared with those achieved using the simple additive weighting (SAW) method. Darvazeh et al [58] applied the SAW method to determine the optimal number of suppliers, considering a set of leagile (lean and agile) and environmentally sustainable criteria. This approach involves assigning weights to each criterion and evaluating each alternative based on these assigned weights.…”
Section: Methodsmentioning
confidence: 99%
“…Darvazeh et al. [58] applied the SAW method to determine the optimal number of suppliers, considering a set of leagile (lean and agile) and environmentally sustainable criteria. This approach involves assigning weights to each criterion and evaluating each alternative based on these assigned weights.…”
Section: Methodsmentioning
confidence: 99%
“…In this respect, a study carried out by Vanichchinchai (2022) indicated that the integration of Toyota Way and agile manufacturing can lead to a hybrid leagile system. Several scholars have also endorsed the benefits of integrating the leagile system into product supply chains (Darvazeh et al, 2022;Rahimi and Alemtabriz, 2022;Singh and Modgil, 2020). A leagile firm provides the best value product to the market by integrating efficiency, effectiveness and adaptability to deal with a dynamic marketplace.…”
Section: Leagile As a Hybrid Manufacturing Systemmentioning
confidence: 99%
“…To tackle the complexity of the problem, a self-adaptive, nondominated sorting genetic algorithm II (NSGA-II) algorithm is designed, which is then evaluated against the ε-constraint method. Darvazeh et al [32] proposed a hybrid methodology to expose the process of this problem which helps managers learn how they can determine the optimal number of suppliers. ey addressed this gap by developing an integrated approach based on multicriteria decision-making (MCDM) comprising best-worst method (BWM), simple additive weighting (SAW), and a technique for order preference by similarity to ideal solution (TOPSIS), and simulation to determine the optimal number of suppliers.…”
Section: Literature Reviewmentioning
confidence: 99%