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Perbaikan Sistem Manajemen Gudang dengan Merancang Ulang Tata Letak, Sistem Penyimpanan dan Pemanfaatan Teknologi RFID Daniel Christian Natan; Martinus Edy Sianto; Ivan Gunawan
Widya Teknik Vol. 20 No. 2 (2021): November
Publisher : Fakultas Teknik, Universitas Katolik Widya Mandala Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/wt.v20i2.2653

Abstract

CV. XYZ adalah salah satu produsen cone paper yang menggunakan sistem penataan random based-storage, dan penelusuran bahan baku juga hanya berda sarkan pada ingatan para petugas gudang. Permasalahan lain yang dihadapi adalah pencarian material menjadi lama, total jarak perpindahan menjadi tidak optimal, dan selalu merasa kekurangan ruang di gudang. Berdasarkan masalah tersebut peneliti akan melakukan perbaikan tata letak gudang, perancangan sistem rak yang yang spesifik untuk industri cone paper, dan peningkatan sistem informasi persediaan dengan pemanfaatan teknologi RFID. Ketiga aspek tersebut: tata letak, sistem rak, dan sistem informasi persediaan; perlu dilakukan secara simultan karena ketiga aspek tersebut saling terkait. Perbaikan tata letak gudang bahan baku usulan menggunakan metode class based storage, di mana bahan baku dikelompokkan berdasarkan kesamaan jenis. Perbaikan tersebut dapat menghemat jarak perpindahan sejauh 38,5%, mempercepat proses pencarian, dan mempermudah proses loading/unloading. Pada desain rak gulungan usulan akan mampu menjalankan aturan FIFO, mempercepat pencarian bahan baku gulungan, dan mengurangi risiko kerusakan akibat tertumpuk dan disimpan terlalu lama. Pada sistem informasi usulan yang didukung dengan sistem identifikasi akan mampu mempercepat serta mengurangi kesalahan perhitungan dan pencatatan bahan baku akibat human error, dan juga mempercepat proses pembuatan laporan dan pencarian bahan baku.
A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy Ig. Jaka; Ivan Gunawan; Yunia Vera Angelia; Dian Trihastuti
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n2.p91-100.2020

Abstract

With the increasing complexity of the process industry, having excellent maintenance management is essential for manufacturing industries. Various parts that interact and interdependent with each other make a well-planned maintenance strategy is one of the major challenges facing by industry. The whole system could be interrupted just simply because of the failure of a component. Therefore, a review of a maintenance strategy must be done from a system perspective. It is suggested that the optimal preventive maintenance time interval is not only determined by the lowest maintenance cost of each machine but also its impact on the whole system. Two main indicators that can accommodate the system perspective are reliability and revenue. A large number of machines and the array of machines can be synthesized in the reliability indicator. Moreover, the creation of maximum revenue is always the main goal for a business. The best maintenance strategy will be determined from the revenue obtained by a process industry. The process industry discussed in this study is a flour mill which is very well known in Surabaya. This study applied a hybrid simulation to solve this problem. Monte Carlo simulation was used to observe the machine individually and the results are reviewed using the application of System Dynamics. Three improvement scenarios were proposed in this simulation study. Scenario 2 was chosen as the best scenario because it was able to generate the highest revenue at the end of the period. Scenario 2 recommends setting the preventive maintenance time interval considering resource availability.
Recycling Solid Waste of Coconut Oil Industry: A Response Surface-Goal Programming Approach Dwi Agustin Nuriani Sirodj; Ivan Gunawan
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n2.p111-121.2020

Abstract

Waste minimization is a key success factor to achieve sustainability, including in the edible oil industry. One type of solid waste produced substantially in this industry is spent bleaching earth (SBE), which comes from a mixture of bleaching earth (BE) and activated carbon (CA) used in the edible oil refining process. SBE that is recycled through a heating process is known as heat regenerated SBE (HRSBE). The process is influenced by two factors as stated in previous studies: temperature and time. In the current study, we report the results of experiments to find the optimal combination of temperature and time in restoring the absorbent quality of SBE by observing four quality parameters: colors (red and yellow), Free Fatty Acid (FFA), and Peroxide Value (PV). The current study uses Response Surface Methodology (RSM) to design the experiments and to find the equations of the relationship between the factors for each response; as well as Goal Programming (GP) to find the most optimal combination of factors in order to achieve aggregated quality targets. The findings show that 3.414 hours of heating at a temperature of 151.64oC allow HRSBE to produce coconut oil in accordance with the expected quality targets.