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All Journal TEKMAPRO Journal of Industrial Engineering and Management Budapest International Research in Exact Sciences (BirEx Journal) JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Nusantara Science and Technology Proceedings Juminten : Jurnal Manajemen Industri dan Teknologi
Dira Ernawati
Universitas Pembangunan Nasional Veteran Jawa Timur
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Physics Transportation

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Journal : Nusantara Science and Technology Proceedings

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Supplier Selection Analysis of Rubber Raw Material Using TOPSIS Method Dira Ernawati; Yekti Condro Winursito; Lutvia Agustin
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Customer satisfaction is the main orientation of a company. To fulfill consumer desires, the company should pay attention to procuring raw materials and choosing the right supplier. Manufacturing companies have to think about how their products have added value compared to other companies. Company XYZ needs to determine the right strategy for purchasing rubber raw materials to increase the efficiency and effectiveness of the company. The method for analyzing the selection of suppliers of rubber raw materials is the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method with the weighting of the criteria obtained from the AHP calculation value. The TOPSIS method is used to sort alternative suppliers based on the closest distance from the alternative value to the positive ideal solution and the farthest distance from the perfect negative solution. The data processing results are compared to other suppliers with a value of 0.31088 and the distance of the farthest negative ideal solution from the others with a value of 0.22064. Rank 1: company C, Rank 2: company A, Rank 3: company E, Rank 4: company B, Rank 5: company D.
Supply Chain Performance Measurement in a Refractory Brick Industry Dira Ernawati; Sinta Dewi; Ni Ketut Sari
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2726

Abstract

Every company needs to optimize and improve its performance. Performance improvement strategies cannot be well formulated if there has never been a performance measurement itself before. Determining the overall condition of the company can be done by assessing the performance of the entire lines of the supply chain. The SCOR model is considered appropriate for complex supply chain activities because it has a measurement process of plan, source, make, deliver, and return. The scale for each process in the supply chain is different, so the Snorm De Boer normalization technique is applied to equalize the assessment units for each criterion. Based on the performance indicator (PI) calculation, six PIs scores are below the average performance. Those six Pis are raw material planning, production planning, planning cycle time, yield, product defect from production, and the number of equipment maintenance. The six PIs are assessment indicators for the planning process and production process, so an improvement of the management system for both activities is essential to be carried out immediately to improve overall supply chain performance.
Co-Authors Afrul Mufdi Thobarsi Akmal Suryadi Aldo Wicaksono Andita Rizki Ramadani Andy Dwi Feriansyah Aprilia Kurnia Ayu Agustina Suryani Bossa No Va Dewi Seda Mera Erlina Erlina Febridan Dzulkifli Hasbi Assiddiqi Hayati, Kinanti Resmi Joumil Aidil Saifuddin Lutvia Agustin M Satria Adiyatma Nugraha Mahardika Brave Revaldiwansyah Muhammad Trisyadi Waluya Jati Nanang Teguh Teguh Nur Rahmawati Raditya Y E Rafi Fadlurrahman Firjatullah Riska Tia Wulandari Rr. Rochmoeljati Salsa Billa Kharisma Santi Wulandari Sari Ni Ketut Sinta Dewi Tranggono Tranggono Yekti Condro Winursito