Response optimization using VIKOR while machining on lathe under dry and minimum quantity and lubrication conditions – A case study

Vikram, K.; Kanth, T. Vijay Krishna; Shabana,; Prasad, Ravneel

doi:10.1016/j.matpr.2019.09.223

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…Metoda Vikor dikembangkan untuk optimasi multi respon dari suatu permasalahan yang kompleks. Metoda ini menentukan rangking suatu alternatif [13], [14], selanjutnya melakukan penyeleksian sekumpulan alternatif pada kriteria-kriteria tersebut. Metoda Vikor mengukur kedekatan alternatif yang ideal, dengan prosedur penyelesaian sebagai berikut:…”

Section: Metode Vikorunclassified

“…Penentuan kondisi optimal dua variabel respons dalam penelitian ini, tidak hanya didasarkan pada hasil eksperimen tetapi juga mendasarkan pada prediksi nilai variabel respon dari semua alternatif kombinasi level faktor yang terbentuk. Methode VIKOR mampu memberikan alternatif terbaik berdasarkan rangking, setelah alternatif pilihan di hasilkan [13], [14]. Gabungan methode taguchi dan VIKOR mampu memberikan hasil experiment yang mendekati ideal [15].…”

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Disain Optimal Kualitas Mekanis Kain Tenun Menggunakan Metode Vikor

Parkhan

Sugarindra

2022

JDPT

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Kualitas mekanis kain tenun dapat diidentifikasi antara lain dari kekuatan tarik kain dan kekuatan sobek kain dengan fungsi obyektif Larger the Better (LTB). Upaya untuk meningkatkan kualitas kain tenun dapat dilakukan melalui eksperimen dengan mengendalikan faktor-faktor yang dapat mempengaruhinya yaitu tetal benang lusi (A), tetal benang pakan (B), kehalusan benang lusi (C), kehalusan benang pakan (D), twist benang lusi (E), twist benang pakan (F), panjang staple serat sisal G). Kombinasi level faktor yang menghasilkan kualitas kain yang optimal diperoleh pada kombinasi level faktor A2, B2, C1, D1, E1, F2, dan G1, yang berarti sistem bekerja pada tetal benang lusi 62 helai/inchi, tetal benang pakan 58 helai/inchi, kehalusan benang lusi 30 Ne1, kehalusan benang pakan 30/2 Ne1, twist benang lusi 20 twist/inchi, twist benang pakan 24 twist/inchi dan panjang staple serat sisal 50 cm. Kombinasi ini mampu menaikkan kekuatan tarik kain sebesar 240,00 N (naik 28,34%) dan kekuatan sobek kain sebesar 20,150 N(naik 31,91%) terhadap kondisi awal. Kombinasi level faktor optimal tidak sensitif terhadap perubahan bobot atribut kualitas tetapi sensitif terhadap perubahan biaya utilitas produk

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Section: Metode Vikorunclassified

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Disain Optimal Kualitas Mekanis Kain Tenun Menggunakan Metode Vikor

Parkhan

Sugarindra

2022

JDPT

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“…The outcome confirmed superior MRR and precision EDM products. Vikram et al (2020) dealt with the multi-response optimization of process parameters with an illustration of the surface roughness, work material temperature and tools phenomenon using the VIKOR approach. Wu et al (2016) deployed fuzzy VIKOR approach to select a CNC machine tool with linguistic variable representation at the centre of the model's description.…”

Section: Literature Review 21 Generalmentioning

confidence: 99%

“…Step 3. Application of decision tree weightage on VIKOR process Calculate the unit measure S i (Wu et al, 2016;Gangil and Pradhan, 2018;Majumder and Maity, 2018;Priti et al, 2020;Vikram et al, 2020):…”

Section: Fig 1 the Edt-vikor Modelmentioning

confidence: 99%

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Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach

Abiola

Oke

2021

IJIEM

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In boring E250 B0 steel material, the selection of process parameters is one of the most challenging tasks to achieve. The boring literature lacks understanding and fails to reveal how to select the important boring parameters for utmost resource distribution to the most important parameters. This article proposes a novel method to analyse the importance of parameters in boring to produce utmost surface roughness using the entropy-decision tree-VIKOR approach as a multi-criteria decision-making solution to the choice of process materials for superior surface roughness. The choice parameters include speed, depth of cut, feed and nose radius. The entropy approach was instituted to attain the weight of the diverse parameters. The decision tree approach is deployed through the classification of the parameters as beneficial and non-beneficial and the expected values at each mode evaluated. The desirable weightage is then established and serves as the input to the VIKOR approach. This converts the desirable weightage into unit measures through the best/worst value and weightage evaluation. The individual regrets are then analyzed and the final ranking obtained. Results revealed that the depth of cut is the most important parameter, then nose radius (0.98), feed (0.307) and speed (0), respectively. Therefore, a plan to assign more measures to the depth of cut may be developed and the least resources may be assigned to speed. This detail may be helpful to prepare the annual budgets for the boring operation on the factory floor.

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