Claim Missing Document
Check
Articles

Found 13 Documents
Search

Risk Mitigation Design for Supply Chain Activities in Printing Industry with House of Risk Method Suaib, Robih Alfian Hastrianda; Mansur, Agus; Basuki, Demas Emirbuwono; Aulia, Baiq Putri Rizka
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 21, No 2 (2024): June 2024
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v21i2.29853

Abstract

Alvian MSMEs is a company engaged in printing, which serves ordering calendars, banners or billboards. The problem faced by Alvian MSMEs today is supply chain activities and production that are usually late so that products experience a decrease in buying interest from customers. To overcome these problems, MSMEs mitigate risks in supply chain and production activities using the HOR (House Of Risk) Method. Based on Hor phase 1, 12 risk events and risk agents were obtained. The identification results show that  the highest risk agent is low-quality raw materials (A9). This risk agent has the highest value because it can cause risk events in the form of poor quality or defects (E9). In HOR phase 2, 6 priorities were obtained for risk mitigation to prevent system failure (PA3), implementing preventive maintenance routines is a top priority. With an ETDk value of 10386, PA3 mitigation measures can reduce risk factors such as manufacturing defects, misconceptions of customer specifications, and quality testing problems, improper maintenance, overuse, system failure, technical problems with printing machines, staff or management failures, no routine monitoring of machine checks (A11,A8,A4,A5,A7).
Pengendalian Kualitas Produk Cylinder Block 4TNV 88C Pada PT. Yanmar Indonesia Dengan Pendekatan Six Sigma Jannah, Rizky Miftahul; Basuki, Demas Emirbuwono; Mukarim, Rifki Nurul; Abdurrahman, Zaki; Apriani, Ratna Agil
JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Vol. 8 No. 1 (2024): EDISI MEI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jime.v8i1.10253

Abstract

PT. Yanmar Indonesia merupakan perusahaan swasta yang bergerak dibidang industri komponen alat-alat pertanian dan generator. Pengendalian mutu merupkan hal yang sangat penting agar pelanggan merasa kebutuhannya terpenuhi oleh produk yang digunakan. Oleh karena itu PT. Yanmar selalu berusahan meningkatkan kualitas mutu dari produk mereka untuk menjaga kepuasan pelanggan dan bertahan di pangsa pasar. Akan tetapi PT.Yanmar dihadapi beberapa masalah kecacatan produk khusunya pada produk Cylinder Block 4TNV 88C. Tujuan dari penelitian ini adalah untuk mengidentifikasi penyebab masalah serta memberikan rekomendasi perbaikan untuk menurunkan persentase cacat tersebut. Pengendalian mutu dilakukan dengan metode Six Sigma dengan DMAIC (Define, Measure, Analyze, Improve, Control). Didapatkan dalam kurun waktu 12 bulan terdapat 10880 unit yang cacat dari total 337082 total yang di produksi, dan yang produk dengan kecacatan tertinggi yaitu Cylinder Block 4TNV dengan 776 atau sebesar 30,32%. Penyebab terjadinya kecacatan ini disebabkan oleh kurangnya penngetahuan tentang setting mesin dengan skor RPN yang diperoleh yaitu RPN 504. Usulan rekomendasi untuk memenimalisir adanya defect yaitu memberikan pengetahuan berupa training atau seminar terkait dari mekanisme perihal proses produksi yang dilakukan, dan memberikan pengawasan terhadap kinerja operator pada saat melakukan proses setting terhadap mesin. Serta memberikan pengetahuan untuk mengurangi adanya ukuran atau proses yang tidak sesuai.
Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model Basuki, Demas Emirbuwono; Cahyo, Winda Nur; Handayani, Dwi; Apriani, Ratna Agil; Mukarim, Rifki Nurul
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.153-168

Abstract

Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.