Selection of industrial robots using compromise ranking method

Athawale, Vijay Manikrao; Chatterjee, Prasenjit; Chakraborty, Shankar

doi:10.1504/ijise.2012.046651

Cited by 24 publications

(12 citation statements)

References 15 publications

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“…Chatterjee and Chakraborty [2] obtained this value as 1.00 with a perfect correlation. The correlation coefficient value (0.96 in our study) for TOPSIS and VIKOR methods was obtained as 0.83 in the study of Athawale et al [25]. It can be concluded that the correlations acquired between these methods are generally in acceptable range.…”

Section: Vikor Methodssupporting

confidence: 62%

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Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods

Çalışkan¹,

Kurşuncu²,

Kurbanoğlu³

et al. 2013

Materials & Design

190

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Section: Vikor Methodssupporting

confidence: 62%

“…The two Euclidean distances for each alternative are computed as given in Eqs. (25) and (26), respectively:…”

Section: Topsis Methodsmentioning

confidence: 99%

Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods

Çalışkan¹,

Kurşuncu²,

Kurbanoğlu³

et al. 2013

Materials & Design

190

View full text Add to dashboard Cite

“…Devi (2011) extended VIKOR method in intuitionistic fuzzy environment for solving MCDM problems in the area of robot selection. Athawale et al (2012) applied VIKOR method for evaluating and ranking of industrial robots. Karsak et al (2012) presented a decision model based on fuzzy linear regression for industrial robot selection.…”

Section: Introductionmentioning

confidence: 99%

A solution to robot selection problems using data envelopment analysis

Mondal¹,

Chakraborty²

2013

10.5267/j.ijiec

Self Cite

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Selection of industrial robots for the present day’s manufacturing organizations is one of the most difficult assignments due to the presence of a wide range of feasible alternatives. Robot manufacturers are providing advanced features in their products to sustain in the globally competitive environment. For this reason, selection the most suitable robot for a given industrial application now becomes a more complicated task. In this paper, four models of data envelopment analysis (DEA), i.e. Charnes, Cooper and Rhodes (CCR), Banker, Charnes and Cooper (BCC), additive, and cone-ratio models are applied to identify the feasible robots having the optimal performance measures, simultaneously satisfying the organizational objectives with respect to cost and process optimization. Furthermore, the weighted overall efficiency ranking method of multi-attribute decision-making theory is also employed for arriving at the best robot selection decision from the short-listed competent alternatives. In order to demonstrate the relevancy and distinctiveness of the adopted DEA-based approach, two real time industrial robot selection problems are solved

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“…Penelitian [1], sistem dibuat untuk aplikasi industri desainer produk sebagai pilihan material yang didasarkan pada properti mekanik dan kimia. Hasil yang akan dicapai solusi ideal dalam melakukan pemilihan bahan dengan memperhitungkan nilai resiko kegagalan [2].…”

unclassified

“…Penelitian [2], sistem pendukung keputusan yang dibuat untuk modifikasi pada klasifikasi pembagian tanah Berdasarkan Kerentanan Daerah Aliran Sungai (DAS). Berbagai saluran dari tanah di sekitar DAS memiliki berbagai tingkat kerentanan lingkungan.…”

unclassified

Sistem Pendukung Keputusan Kelompok Penentuan Kelayakan Lokasi Pemukiman

Ula¹,

Sn²

2013

Indonesian J. Comput. Cybern. Syst.

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AbstrakSebagai daerah yang rawan bencana dari tsunami, dan abrasi gelombang laut, dibutuhkan suatu lokasi yang layak untuk dapat dijadikan suatu daerah pemukiman untuk mendukung perkembangan perekonomian, sarana dan prasarana, serta sosial ekonomi di pemerintah kota Lhokseumawe. Oleh sebab itu, diperlukan penentuan kelayakan lokasi pemukiman yang layak untuk direkomendasi menjadi sebuah pemukiman yang akan dibangun. Sehingga perlu dilakukan evaluasi terhadap areal fisik pemukiman, sarana dan prasarana, dan sosial-ekonomi yang akan direkomendasi menjadi suatu lokasi pemukiman. Masukan dari masyarakat sangat dibutuhkan untuk mengetahui masalah lokasi yang akan direkomendasi menjadi sebuah pemukiman. Hal ini dilakukan agar pihak pengawas mengetahui dan dapat mengantisipasi masalah-masalah yang terjadi pada lokasi tersebut. Penerapan sistem pendukung keputusan kelompok atau Group Decision Support System (GDSS) yang dibuat menggunakan metode VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) dapat membantu para pengambil keputusan dalam melakukan perankingan nilai masing-masing alternatife solusi, entropy sebagai pembobotannya dari setiap kriteria.. Sementara metode Copeland score, sebagai salah satu metode voting yang tekniknya berdasarkan pengurangan frekwensi kemenangan dengan frekwensi kekalahan dari perbandingan berpasangan untuk melakukan voting terhadap solusi yang akan di ambil para decision maker. Kata kunci— GDSS, Vikor, Entropy, Copeland Score, lokasi pemukiman. AbstrakAs a disaster-prone areas of the tsunami, ocean waves and abrasion, it takes a decent location to be used as a residential area to support economic development, infrastructure, social and economic development of Regional Goverment of Lhokseumawe. Therefore, it is necessary to have feasibility determination of viable residential locations as recommendation to be a settlement. So it is necessary to evaluate the physical area of settlements, infrastructure, economic and social development that will be recommended to be a residential location. Public suggestion is needed to determine the problem locations to be recommended to a settlement. The application of group decision support systems or Group Decision Support System (GDSS) are made using the VIKOR method (Vlse Kriterijumska Optimizacija Kompromisno Resenje in Serbia) that is able to assist decision makers in the ranking value to each solution alternatives, entropy wih weigt for criterias, the method of Copeland score, as one method of voting is the technique by reducing the frequency of victory with the defeat of the comparison frequency pairs can be used to vote for a solution that will take the decision makers. Keyword— GDSS, Vikor, Copeland Score, Entropy, location determination.

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Selection of industrial robots using compromise ranking method

Cited by 24 publications

References 15 publications

Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods

Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods

A solution to robot selection problems using data envelopment analysis

Sistem Pendukung Keputusan Kelompok Penentuan Kelayakan Lokasi Pemukiman

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