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All Journal OPSI Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Jurnal INTECH Teknik Industri Universitas Serang Raya Industri Inovatif : Jurnal Teknik Industri Jurnal Surya Teknika Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering International Journal of Multi Discipline Science (IJ-MDS) Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik: Jurnal Trinistik Journal of Industrial and Mechanical Engineering
Sofiana, Amanda
Universitas Jenderal Soedirman
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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Journal : OPSI

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Analysis of Total Productive Maintenance (TPM) Application Using Overall Equipment Effectiveness (OEE) and Six Big Losses on Disamatic Machine PT. XYZ Musyafa'ah Musyafa'ah; Amanda Sofiana
OPSI Vol 15, No 1 (2022): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v15i1.6630

Abstract

PT. XYZ is a manufacturing company which engages in Defense and Commercial. One of the machines used is a disamatic machine which is a machine that produces shoulder components for railway tools. This machine is an old machine, so that problems that arose on the production floor were often caused by the cessation of the process on the production floor due to machines stuck, machines damaged, or machines not running properly so that it can reduce the machines productivity. The method used in analyzing this problem is by calculating the value of Overall Equipment Effectiveness (OEE) and Six Big Losses to identify the performance of industrial machines. From the results of data processing, the OEE value owned by PT. XYZ is 61.94%. This value is still below the ideal value standard set by JIPM, which is 85%. The factor which influenced the lower OEE value was the low-efficiency performance, which is 68.29%. Based on the calculation of Six Big Losses, the most dominant loss causing a decrease in machine effectiveness was reduce speed losses, which is 42.38%. This factor was analysed by Pareto and fishbone diagram. The result of this study can be useful for the company to increase their productivity which will increase their profits.
Quality Control Related to Inventory Loss of Animal Feed Raw Materials using I-MR Control Map (Case Study: PT Cargill Indonesia, Plant Semarang) Amanda Sofiana; Eva Pramudea Safitri
OPSI Vol 16, No 1 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i1.8897

Abstract

Quality control is one of the things that needs to be considered by the company to maintain the product quality from the process until the product reaches the customers. PT. Cargill Indonesia Semarang Plant is a subsidiary under the Cargill company which is a global company serving the food, agriculture, finance and industrial sectors. The company has an external warehouse that stores both local and imported raw materials. The raw material undergoes loading and unloading process and weighing at the plant as well as 3 Metric Ton (MT) scales. However, there are differences in the two scales due to shrinkage with different factors. Therefore, it is necessary to carry out quality control on inventory loss of raw materials by using the I-MR control chart to find out the amount of losses that occur in each raw material statistically and analyze with fishbone diagram and Root Cause Analysis (RCA) to find out the root causes of losses and improve its quality control in the unloading process of raw materials.
Co-Authors Anwar Abdur Rosyid Atmaja, Wellyaz Sayidi Aulia Imran, Rani Azhar Rafi Rendra Diki Ahmad Tasdiqul Haq Eva Pramudea Safitri Fadhilah, Rachmat Fazrin, Dea Aulia Fiky Two Nando Hamidi, A Ali Indro Prakoso Milena Novita Piranti Musyafa'ah Musyafa'ah Nofandy, Danu Syukur Pardamean, Octaviandy Puji, Ari Andriyas Rafi Triyanto Reza Azizul Nasa Al Hakim Samudro, Megah Bintang Sarah Nurmalawati Syahrullah, Yudi Triyanto, Rafi Widyastuti, Khoirunisa Wahyu