A Fuzzy TOPSIS Model to Rank Automotive Suppliers

Azizi, Amir; Aikhuele, Daniel O.; Souleman, Fathi S.

doi:10.1016/j.promfg.2015.07.028

Cited by 40 publications

(25 citation statements)

References 6 publications

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“…This can help reduce the time invested by sensory analysts to obtain a sensory vocabulary as well and the expenses involved in this process. Currently the AHP technique has been cited more than 4,500 times and has been used in areas such as business (Deng et al, ; Iç, ); Urbano‐Guerrero, Muñoz‐Marín, & Osorio‐Gómez, ), automotive section (Azizi, Aikhuele, & Souleman, ) and food industry (Duman, Tozanli, Kongar, & Gupta, ). In food industry, it has been applied to determine the optimal concentrations for the preparation of juices, puddings with prebiotics (Gurmeric, Dogan, Toker, Senyigit, & Ersoz, ; Ozturk, Dogan, & Said Toker, ) and for the evaluation of the sensory quality of ice cream, tea and chocolates (Dogan, Aslan, Aktar, & Goksel Sarac, ; Karaman et al, ; Ren & Liu, ).…”

Section: Introductionmentioning

confidence: 99%

Analytic hierarchy process as an alternative for the selection of vocabularies for sensory characterization and consumer preference

Ramírez‐Rivera

Morales‐Carrera

Limón‐Rivera

et al. 2019

Journal of Sensory Studies

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The objective of the present study was to investigate the Analytic Hierarchy Process (AHP) technique as an alternative to the ISO standard 11035 for the sensory characterization and consumer preference of coffee through External Preference Mapping (PREFMAP). The methodological context consisted in the generation of the sensory vocabulary applying the techniques ISO standard 11035 using a trained panel and AHP using an expert panel. PREFMAP was then carried out to explain the preference of coffee consumers according to the vocabularies generated. The results showed that the sensory vocabulary using AHP was similar to that obtained with ISO standard 11035 and the judgments of the panel of experts were consistent. The PRE-FMAP'S explained in a similar way the preference of coffee consumers. The use of the AHP technique is a new, reliable, and easy-to-execute alternative for the selection of sensory vocabulary for characterization and explanation of consumer preference. Practical ApplicationsThe Analytic Hierarchy Process technique is a reliable alternative for the selection of sensory attributes. The attributes are evaluated by paired comparison and, by mathematical procedure, the weight (W) of each attribute and sensory dimension is obtained. Consistency indicators are also included to support and validate panel judgments. This new proposal can be easily implemented at an industrial and academic level for the development of different sensometric investigations that require characterizing and analyzing the preference of consumers of different foods.

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Section: Introductionmentioning

confidence: 99%

Analytic hierarchy process as an alternative for the selection of vocabularies for sensory characterization and consumer preference

Ramírez‐Rivera

Morales‐Carrera

Limón‐Rivera

et al. 2019

Journal of Sensory Studies

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“…Fuzzy-TOPSIS is domain independent and thus may be applied virtually to any problem. Several research groups like Shiraz, Mirac, Sengul and coworkers (SENGUL et al, 2015;SHIRAZ et al, 2014;BAKIRCI et al 2014;SENGUL et al, 2016;EREN, 2018;SHIVAKOTI et al, 2017;DIYALEY et al, 2017;DAS et al, 2017;RAGAVENDRAN et al, 2018;AZIZI et al, 2015) has regularly used Fuzzy-TOPSIS or its variants in a wide range of problems.…”

Section: Hybrid Fuzzy-topsis and Taguchi Optimizationmentioning

confidence: 99%

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

Fegade

Shrivastava

Kale

et al. 2020

Ind. Jour. Manag. & Prod.

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The tremendous advancement in technology, productivity and improved standard of living has come at the cost of environmental deterioration, increased energy and raw material consumption. In this regard, remanufacturing is viable option to reduce energy usage, carbon footprint and raw material usage. In this manuscript, using computational intelligence techniques we try to determine the feasibility of remanufacturing in case of roller bearings. We collected used N308 bearings from 5 different Indian cities. Using Fuzzy-TOPSIS, we found that the roundness, surface roughness and weight play a vital role in design for remanufacturing of roller bearings. Change in diameter, change in thickness and change in width showed minimal influence. We also used Taguchi analysis to reassess the problem. The roundness of inner and outer race was found to be the most influential parameters in deciding the selection of bearing for remanufacturing. The results suggest the bearing designer to design the bearing in such a way that roundness of both races will be taken cared while manufacturing a bearing. However, using Taguchi the weight of the rollers was found to be of least influence. Overall, the predictions of Taguchi analysis were found to be similar to Fuzzy-TOPSIS analysis.

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“…Sedangkan (Wimatsari, Ketut, & Putu, 2013), melakukan modifikasi Fuzzy TOPSIS dan menerapkan pada kasus yang sama. (Azizi, A. Aikhuele, & Fathi S. Souleman, 2015), menggunakan Fuzzy TOPSIS untuk pemilihan supplier otomotif. (Liao & Kao, 2011) Untuk pemilihan Mawapres Diploma, maka bidang penilaian dibatasi pada rumpun ilmu terapan, yang dibagi menjadi bidang Rekayasa dan bidang Non Rekayasa.…”

Section: Pemilihanunclassified

Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Fuzzy TOPSIS

Herawatie

Wuryanto

2017

JISEBI

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Abstrak-Pemilihan mahasiswa berprestasi adalah kegiatan untuk memilih dan memberikan penghargaan kepada siswa yang mencapai kinerja tinggi dalam kurikuler, ko-kurikuler, maupun ekstrakurikuler. Kegiatan ini dilaksanakan secara berjenjang mulai dari tingkat program studi, departemen, fakultas, perguruan tinggi, hingga di tingkat nasional. Mawapres secara langsung atau tidak langsung dapat mengangkat martabat mahasiswa dan perguruan tingginya. Dalam proses seleksinya melibatkan pertimbangan atau kriteria yang sifatnya crisp : IPK, karya ilmiah, prestasi unggulan dan kemampuan bahasa Inggris. Tetapi dalam kenyataannya kriteria tersebut ada yang bersifat fuzzy, dengan demikian memungkinkan adanya kriteria bersifat campuran antara crisp dan fuzzy sehingga timbul kesulitan dalam melakukan pengurutan. Untuk mengatasi permasalahan yang ada diperlukan sistem pendukung keputusan dengan multi kriteria. Penelitian ini bertujuan untuk merancang dan membangun sistem pengambilan keputusan pemilihan mahasiswa berprestasi di Fakultas Vokasi Universitas Airlangga. Dari aplikasi ini bisa diperoleh hasil perangkingan selain dengan metode standard (sesuai pedoman Dikti), juga ditampilkan hasil perangkingan dengan metode TOPSIS, dan Fuzzy TOPSIS. Dengan beberapa alternatif perangkingan, diharapkan dapat memberi masukan buat pimpinan fakultas sebelum melakukan pengambilan keputusan. Dari 10 kandidat yang mengikuti seleksi pada tahun 2016, menunjukkan bahwa dengan menggunakan ketiga metode memberikan hasil yang berbeda untuk beberapa rangking. Sedangkan beberapa rangking yang lain sama. Terjadinya perbedaan ini disebabkan karena nilai dari beberapa kriteria dari kandidat berdekatan. Adanya perbedaan hasil perangkingan, saat memberikan masukan kepada pimpinan fakultas sebagai dasar pengambilan keputusan.Kata Kunci-Fuzzy TOPSIS, Pemilihan Mahasiswa Vokasi Berprestasi , Sistem Pendukung Keputusan Abstract-Achievement student election is an activity to select and provide awards to students who reached high performance in curricular, co-curricular, and extracurricular. This activity is carried out gradually from the level of the study program, department, faculty, university, up

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A Fuzzy TOPSIS Model to Rank Automotive Suppliers

Cited by 40 publications

References 6 publications

Analytic hierarchy process as an alternative for the selection of vocabularies for sensory characterization and consumer preference

Analytic hierarchy process as an alternative for the selection of vocabularies for sensory characterization and consumer preference

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Fuzzy TOPSIS

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