Rozzaq, Hafidhuddin Abdur (2025) Optimasi Auto Scraper Pada Heat Sealing Machine Untuk Mengoptimalkan Proses Produksi Menggunakan Metode Taguchi Design Of Experiment. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam industri perakitan baterai, proses penyatuan cover dan container baterai menggunakan Heat Sealing Machine (HSM) merupakan tahapan penting yang menentukan kualitas produk. Proses ini bergantung pada kebersihan heater plate yang sebelumnya dibersihkan secara manual. Metode manual ini menimbulkan beberapa masalah, seperti proses yang tidak efisien karena adanya delay waktu, hasil pembersihan yang tidak konsisten sehingga menyebabkan produk cacat atau bocor, serta potensi risiko kecelakaan kerja bagi operator. Untuk mengatasi permasalahan tersebut, sebuah sistem auto scraper dirancang dan diintegrasikan langsung dengan HSM. Penelitian ini bertujuan untuk menentukan parameter operasional optimal dari sistem auto scraper menggunakan Taguchi Design of Experiment (DoE). Optimasi dilakukan berdasarkan skor kinerja gabungan tiga respon utama: baterai good, efisiensi penggunaan cairan silikon, dan kinerja sistem. Dua faktor utama yang dioptimalkan adalah banyak pemrosesan baterai sebelum pembersihan (Faktor A) dan rentang pencelupan kain ke cairan silikon setelah berapa kali pembersihan (Faktor B). Melalui eksperimen dengan Orthogonal Array L_{16}, analisis Signal-to-Noise Ratio, Optimasi Multi-Respon Grey Relational Analysis, dan ANOVA, ditemukan bahwa kombinasi parameter paling optimal yang menjamin tidak ada produk cacat adalah pembersihan heater plate setelah 10 baterai (Level 1) dan pencelupan kain ke cairan silikon setelah 2 kali siklus pembersihan (Level 2). Implementasi sistem auto scraper dengan parameter teroptimasi ini berhasil menghilangkan delay 100% pada proses pembersihan heater plate, meningkatkan kualitas penyatuan baterai dengan asumsi sebelumnya dalam satu shift terdapat reject sebanyak 2 baterai yang kemudian menjadi 0 reject dalam satu shift, serta mengeliminasi 100% tugas manual pembersihan heater plate yang berisiko menyebabkan kecelakaan kerja bagi operator.
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In the battery assembly industry, the process of uniting the battery cover and container using a Heat Sealing Machine (HSM) is a crucial stage that determines product quality. This process relies on the cleanliness of the heater plate, which is previously cleaned manually. This manual method causes several problems, such as inefficient processes due to time delays, inconsistent cleaning results that cause defective or leaking products, and potential risks of work accidents for operators. To overcome these problems, an auto scraper system was designed and integrated directly with the HSM. This study aims to determine the optimal operational parameters of the auto scraper system using the Taguchi Design of Experiment (DoE). Optimization is carried out based on a combined performance score of three main responses: battery goodness, efficiency of silicone fluid use, and system performance. The two main factors optimized are the number of battery processing before cleaning (Factor A) and the range of cloth immersion in silicone fluid after several cleanings (Factor B). Through experiments with Orthogonal Array L_{16}, Signal-to-Noise Ratio analysis, Multi-Response Optimization Grey Relational Analysis, and ANOVA, it was found that the most optimal combination of parameters that guarantee no defective products is cleaning the heater plate after 10 batteries (Level 1) and dipping the cloth into silicone fluid after 2 cleaning cycles (Level 2). The implementation of the auto scraper system with these optimized parameters successfully eliminated 100% delay in the heater plate cleaning process, improved the quality of battery unification with the previous assumption that in one shift there were 2 reject batteries which then became 0 rejects in one shift, and eliminated 100% of the manual task of cleaning the heater plate which had the risk of causing work accidents for the operator.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Auto Scraper, Heat Sealing Machine, Metode Taguchi, Optimasi Multi-Respon, Efisiensi Produksi. Auto Scraper, Heat Sealing Machine, Taguchi Method, Multi-Response Optimization, Production Efficiency. |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ217.2 Robust control T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control T Technology > TJ Mechanical engineering and machinery > TJ219 Pneumatic control systems |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | Hafidhuddin Abdur Rozzaq |
| Date Deposited: | 04 Aug 2025 09:47 |
| Last Modified: | 04 Aug 2025 09:47 |
| URI: | http://repository.its.ac.id/id/eprint/127211 |
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