Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming

2010 ◽  
Vol 58 (4) ◽  
pp. 571-577 ◽  
Author(s):  
Chin-Nung Liao ◽  
Hsing-Pei Kao
2021 ◽  
Vol 9 (1) ◽  
pp. 97-107
Author(s):  
Yanti Helianty ◽  
Dyah Anggraeni

ABSTRAK                                                                              Untuk mendapatkan bahan baku pada proses produksinya, pada umumnya industri bekerja sama dengan pemasok (supplier) bahan baku. Pemilihan supplier yang tepat dapat membantu kelancaran proses produksi dan membuat perusahaan mampu menghasilkan produk dengan kualitas baik yang sesuai dengan keinginan konsumen sehingga dapat meminimasi kerugian yang disebabkan oleh penyimpangan yang dilakukan oleh supplier. Pada penelitian ini dilakukan proses pemilihan supplier berdasarkan hasil evaluasi masing-masing supplier menggunakan metode Analytical Hierarchy Process (AHP) dan Taguchi Loss Function. AHP digunakan untuk mengetahui bobot masing-masing kriteria, sedangkan Taguchi Loss Function digunakan untuk menghitung kerugian yang disebabkan oleh penyimpangan-penyimpangan yang dilakukan oleh masing-masing supplier berdasarkan bobot kriteria yang telah dihitung menggunakan metode AHP. Kriteria yang digunakan pada penelitian ini yaitu harga, kualitas, pengiriman, ketepatan jumlah barang, dan sistem pembayaran. Urutan bobot masing-masing kriteria yaitu 0,3838 untuk kriteria kualitas, 0,3009 untuk kriteria harga, 0,1408 untuk kriteria pengiriman, 0,0874 untuk kriteria ketepatan jumlah barang, dan 0,0871 untuk kriteria sistem pembayaran. Berdasarkan perhitungan Taguchi Loss Function diperoleh usulan prioritas pemilihan supplier bahan baku berdasarkan nilai kerugian terkecil.  


2017 ◽  
Vol 16 (1) ◽  
pp. 10
Author(s):  
Wildatul Khoiro

PT. Lamongan Marine Industry is a manufacturing company that produce large ships. The company have contracts with four suppliers of iron plate. In cooperation with these suppliers, they unable to meet the quality standards for iron plate is a measure of the thickness of the thick 45 mm. Material defects from suppliers thickness is less the limit set by the company is 0,3 mm – 0,5 mm. Process evaluation of the suppliers performed to look for suppliers that meet the criteria of the company. In this study, supplier evaluation process is carried out using Analytical Hierarchy Process (AHP) and Taguchi Loss Function (TLF). AHP for wighting each of criterian, while TLF  for calculating loss function each of supplier. Criterian of the supplier evaluation are price, quality, delivery, underweight, availability, payment system, guarantee policy and repair service, with wight for each criterion are 6%, 6%, 8%, 15%, 17%, 13%, 8% and 26%. The results showed that the best supplier that meets the company criteria is a supplier  PT. Biz Fitting with loss Rp. 1.140.973.


2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Bambang Sutejo, ST,MT

Sari Penelitian “Model kuantitatif Optimasi Sumber Energi Alternatif Bahan Bakar Minyak (BBM)”, dengan menggunakan metode pendekatan goal programing akan dihasilkan model matetatik yang komperhensif untuk penentuan kibijakan dalam bidang energi alternatif selain bahan bakar minyak. Hasil Penelitian ini yaitu model analisis sensitifitas dan model optimasi energi altenatif BBM. Model yang dikembangkan adalah goal programming untuk optimasi energi alternatif BBM. Implementasi model dilakukan terhadap energi alternatif BBM diantaranya   batubara, gas alam dan hidro, Dan hasil  perhitungan dengan Expert Choice Version 9.0 diperoleh tipe energi alternatif batubara dengan bobot prioritas relatif 36.8 % pada overall consistency index 0.04 atau 4%. Implementasi model optimasi dilakukan terhadap rencana tipe energi alternative bahan bakar minyak dengan perhitungan dengan menggunakan program Quantitative System 3.0 yang  diperoleh batubara = 9.809274, gas = 0.8409028, hidro = 0, Minimal objective = 18.69225. Kata Kunci : Energi Alternatif, Proses Hirarki Analitik, Goal Programing   ABSTRACT The purpose of this research is to make the selection model, sensitivity analysis and optimize model of the alternative energy fuel oil. The analysis developed in this research was the sensitivity of Analytical Hierarchy Process for selection model, and goal programming for optimize model. Implementation model of the alternative energy fuel oil is a geothermal, coal, gas and hydro. From the result of calculation with Expert Choice Version 9.0 and Quantitative System 3.0. And the result calculation used Expert Choice Version 9, it is found out  coal type energy alternative with relative priority weight of 36.8  % at index consistency overall 0.04 or 4% . With the calculation of Quantitative System 3.0 it is obtained the level at decisive variable for several alternatives it is found out  coal = 9.809274, gas = 0.8409028, hydro    =  0, minimal objective = 18.69225. Key words:  alternative energy, analytical hierarchy process, goal programming


2018 ◽  
Vol 19 (2) ◽  
pp. 178
Author(s):  
Muhammad Yanu Asdidi ◽  
Moeso Alpianto ◽  
Ahmad Ainul Yaqin

Supplier evaluation process is a strategic activity on purchasing management that aims to find out the performance of the supplier. PT. Fronte Classic Indonesia is a company manufacturing car carpet, one of the raw materials needed in producing car carpet that is calcium. The supplier in partnership with the company has performance that is less suitable. The methods used in this research Analytical Hierarchy Process (AHP) and Taguchi Loss Function. AHP is used to determine the weights of the criteria and Taguchi Loss Function is used to calculate the loss function of the respective supplier. Supplier evaluation process carried out to search for suppliers and meet the criteria of the company. The criteria used in the evaluation of suppliers are price, delivery, quality, the accuracy of goods quantity, guarantee policy, response to claims. The results showed that the suppliers who meet the criteria of the company by providing minimum losses as the best supplier.


2012 ◽  
Vol 2 (5) ◽  
pp. 177-179
Author(s):  
Bhavik K Daxini ◽  
◽  
Prof. (Dr.) R.B. Bhatt Prof. (Dr.) R.B. Bhatt ◽  
Prof. Jayeshkumar Pitroda

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