Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Journal of Engineering and Management in Industrial System
Achmad As’ad Sonief
Universitas Brawijaya
Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
OPTIMIZATION OF VARIABEL HELIX ANGLE PARAMETERS IN CNC MILLING OF CHATTER AND SURFACE ROUGHNES USING TAGUCHI METHOD Festo Andre Hardinsi; Oyong Novareza; Achmad As’ad Sonief
Journal of Engineering and Management in Industrial System Vol 9, No 1 (2021)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2021.09.01.3

Abstract

In the manufacturing industries, the main problem in process of operating CNC milling machine was chatter effect (self-excited vibration) which increases the quality of the surface roughness. In this study is to determine optimal value of parameters for chatter and surface roughness. The chatter measured using accelerometer MPU-6050 with Arduino by software LabVIEW-2019 based on peaks-FFT value and the surface roughness measured by SJ-301 tester. The research parameters like variable helix angle, spindle speed, feed rate, and depth of cut using stainless steel 304 by Taguchi method. The optimum parameters value obtained are variable helix 35/38 degrees, spindle speed 3000 RPM, feed rate 150 mm/min and depth of cut 0.4 mm. Based on ANOVA value, the variable helix angle and depth of cut are found to be significant for chatter and surface roughness. The depth of cut was high contribution by ANOVA chatter by 93.84% and surface roughness by 91.93%.
OPTIMASI ORDER SCHEDULLING DENGAN INTEGRASI MODEL EVALUASI SUPPLY CHAIN Nuriyanto Nuriyanto; Achmad As’ad Sonief; Sugiono Sugiono
Journal of Engineering and Management in Industrial System Vol 3, No 2 (2015)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.856 KB) | DOI: 10.21776/ub.jemis.2015.003.02.4

Abstract

Abstract Industrial processing of chicken/native is one of the many industry-based food productions. These industry players realize that to provide cheap products, quality, and fast is not enough to make improvements in the company's internal only. But also takes the role of all parties, from suppliers who provide raw materials, transportation companies that send raw materials from suppliers to the industry, as well as the distribution network delivering products into the hands of customers. Performance improvement requires the presence of Supply Chain performance measures beforehand. The results of these measurements will be used as reference for improvement of performance of the Supply Chain. The reason the use of AHP and MILP itself because of these two methods are expected to provide the best solution of existing problems, which AHP method can determine the weighting or desired supplier selection criteria from existing suppliers. While the MILP method alone is expected to maximize profits by considering the risks. The results of the application of the AHP method known value of most major sub-criteria weights that supplier B with value at a price of 0.594 sub-criteria, sub-criteria weights alternative on the quality of 0.493, the sub-criteria weights alternative delivery time of 0.387, an alternative to the sub-criteria weights accuracy number of 0493, and the weight alternative to the sub-supplier performance criteria for 0.374. While based on the application of linear programming methods of forecasting results are known supplier B has a stock of goods which are more stable than other suppliers to stock inventory in July amounted to 18.116 tails, august amounted to 18.524 tails, September amounted to 19.033 tails, October amounted to 19.542 tails, in month of november to 20.068 tails, december amounted to 20.559 tails, and in January next at 21.068 tails.
Co-Authors Festo Andre Hardinsi Nuriyanto Nuriyanto Oyong Novareza Sugiono Sugiono