Distribution Network Supplier Selection with Fuzzy AHP and TOPSIS

Li, Zhiwei; Sun, Liping; He, Lanfei; Xue-jun, Tang; Zou, Xiaojuan; Chen, Minghua

doi:10.1109/iciea.2019.8834014

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…On the other hand, fuzzy-AHP has also been broadly utilized for weighting criteria and combined with other vendor or supplier selection methods. For example, Li et al [20], studied integrated fuzzy-AHP TOPSIS. They proposed a combination of approaches based on fuzzy-AHP TOPSIS approaches to evaluate the selection of network suppliers.…”

Section: Related Workmentioning

confidence: 99%

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Fuzzy-AHP MOORA approach for vendor selection applications

Khoiry

Gernowo

Surarso

2021

regist. j. ilm. teknol. sist. inf.

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Vendor selection is a critical activity in order to support the achievement of company success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, an evaluation is needed to see which vendors match the company's criteria. The purpose of this study is to evaluate and select the proposed vendor in a web-based decision support system (DSS) by using the fuzzy-AHP MOORA approach. The fuzzy-AHP method is used to determine the importance level of the criteria, while the MOORA method is used for alternative ranking. The results showed that vendor 4 has the highest score than other alternatives with a value of 0.2536. Sensitivity analysis showed that the proposed DSS fuzzy-AHP MOORA concept was already solid and suitable for this problem, with a low rate of change.

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Section: Related Workmentioning

confidence: 99%

“…This method is considered simple and computationally easy in decision-making by eliminating inappropriate alternatives while selecting the most suitable alternatives to strengthen the selection process [19]. These fuzzy-AHP and MOORA methods have also been used or combined with other methods in the vendor or supplier field [20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-AHP MOORA approach for vendor selection applications

Khoiry

Gernowo

Surarso

2021

regist. j. ilm. teknol. sist. inf.

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“…However, the comparative analysis in this research had shown that the FTOPSIS method suited the supplier selection regarding changes of alternatives and criteria, agility and number of criteria, and alternative suppliers. Li et al (2019) studied the distribution network of supplier selection with FAHP and TOPSIS. They said choosing the proper suppliers for distribution network commodities was very important.…”

Section: Introductionmentioning

confidence: 99%

Suppliers Selection Using FAHP and FTOPSIS in a Chemical Manufacturing Company

Kurniawan

Dewi

Marisah

2020

Binus Business Review

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The research aimed to determine the appropriate weight criteria and sub-criteria in selecting the chemical solvent supplier. It was also to recommend the best alternative suppliers using a comparative analysis method of Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The research was conducted in one of the chemical manufacturing companies in Indonesia. The type of research was descriptive with a quantitative approach that used primary data sources such as questionnaires, interviews, and observations, and secondary data such as books and journals. The criteria studied were cost, quality, delivery, flexibility, supplier profile, and supplier relationship. The results of using FAHP indicate that the criteria with a major influence on the decision making of supplier selection are quality followed by delivery, cost, supplier relationship, flexibility, and supplier profile in sequence. Then, using FTOPSIS, it recommends that the best supplier alternative decision is Supplier A with a weight value of 0,773 and an approved evaluation status. The results have shown that both methods are suitable for supplier selection, particularly in supporting group decision making and modeling uncertainty.

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