: This study aims to determine how effective and efficient the production line and calculate the optimal time to process a candy product. The data was measured by stopwatch, then tested for uniformity and adequacy to obtain a value to do line balancing analysis using the Killbridge and Wester methods and Rank Position Weight, then performance of the initial line is compared with the results of analysis. The results of analysis using both line balancing methods, show that line efficiency were 76.1%, increasing by 43.1% from the efficiency of the initial line by 33%. The result of the balance delay (BD) calculation is 23.92% decreased by 53%, and the smoothness index 17.79 fell by 74.98 from the initial line which means that the proposed production line are more efficient than the initial line. The optimum time needed for production start from sugar tipping to the packaging are 91,29 minutes.Keywords: line balancing; line efficiency; Killberg & Wester; Rank Position WeightAbstrak : Penelitian bertujuan untuk mengetahui seberapa efektif dan efisien lintasan produksi yang digunakan pada proses produksi permen, serta menghitung waktu optimal yang dibutuhkan dalam produksi. Pengambilan data primer dilakukan dengan metode pengukuran langsung menggunakan jam henti yang selanjutnya diuji keseragaman, dan kecukupan datanya sehingga diperoleh sebuah nilai untuk kemudian dilakukan analisis keseimbangan lini dengan menggunakan metode Killbridge dan Wester dan Rank Position Weight. Selanjutnya performansi lintasan awal dibandingkan dengan hasil analisis keseimbangan lini. Dari hasil analisis menggunakan kedua metode line balancing tersebut diperoleh hasil efisiensi lini sebesar 76,1%, meningkat sebesar 43,1% dari efisiensi keadaan lintasan awal sebesar 33%. Hasil perhitungan balance delay (BD) adalah sebesar 23,92% turun 53% dari kondisi awal; dan smoothness index 17,79 turun sebesar 74,98 yang artinya hasil analisis lintasan usulan lebih efisien dibandingkan dengan keadaan lintasan awal. Hasil analisis waktu optimum yang dibutuhkan untuk produksi mulai dari tipping gula sampai proses pengemasan adalah 91,29 menit.Kata kunci: efisiensi lini produksi, keseimbangan lintasan; Killberg & Wester; Rank Position Weight
Palm oil industrial cluster development in Sei Mangkei is a step to realize the downstream programme, increase the added value and competitiveness through integrated management. To optimize the development, it is necessary to make the planning starting from the selection of potential industries, as well as calculate how optimal capacity, with the availability of raw materials as constraints. The selection of products is done with the exponential comparison method with the result that industrial cooking oil, margarine, basic oleo chemicals, surfactants, biodiesel, industrial soap, liquid soap, shampoo and detergents, as well as biogas and animal feed were potential for development in the industrial park. The goal programming analysis was performed to determine the optimal industrial capacity that provide maximum benefit and labour, and minimal waste produces. Based on the optimization analysis, the profits target was achieved and the largest profits derived from basic oleochemical industry, margarine, cooking oil, and soap bars. While labour targets were not achieved, because labour absorption less than 80% of the target. The target of waste was achieved, and the largest proportion of liquid waste was produced by cooking oil and basic oleochemicals industry. This model is expected to illustrate the capacity calculation model of industry in other cluster development.
<p>ABSTRAK<br />Penelitian ini bertujuan untuk mengetahui proses produksi produk Adjuster R KWB dan analisis jenis kecacatan dan penyebab pada PT.Dina Karya Pratama. Analisis pengendalian kualitas dilakukan menggunakan alat bantu statistik yang biasa disebut seven tools berupa Check sheet, Peta kendali p, diagram pareto diagram sebab akibat untuk kemudian dapat menjawab permasalahan diatas.</p><p>Kata kunci : Pengendalian Kulitas, Statistical Quality Control (SQC), Seven Tools</p><p>ABSTRACT<br />This study aims to find out the production process of Adjuster R KWB product and the analysis of disability and causes type in PT.Dina Karya Pratama. Quality control analysis is done using statistical tools commonly called seven tools in the form of Check sheet, Map control p, pareto diagram causation diagram to then be able to answer the above problems.</p><p>Keywords: Kulitas Control, Statistical Quality Control (SQC), Seven Tools</p>
This study aims to find out the production process of Adjuster R KWB (a part of automotive sparepart), the defect analysis and causes in PT. Dina Karya Pratama. It is a manufacturing company engaged in metal industry, especially automotive,. Quality control analysis is done using statistical called seven tools consisting of check sheet, p control chart, pareto diagram, and cause and effect diagram to answer those problems. The results of analysis show that the production process is controlled by the average proportion of defects (0.0071283). The level of disability is dominated by screw jam (50%) and circle not symmetry (35%). The main factors causing the defect are the engine factor that has not been hot, the method factor and the inaccuracy of labor.
Lonjakan permintaan produk pasca pandemi menyebabkan tidak tercapainya pemenuhan order sesuai dengan yang ditargetkan perusahaan. Berbagai upaya dilakukan PT X Indonesia untuk meningkatkan produktivitas dan kinerja perusahaan, diantaranya adalah dengan melakukan perampingan proses untuk meningkatkan efisiensi. Hasil observasi dengan menggunakan metode VSM memperlihatkan masih terdapatnya pemborosan dalam proses distribusi baik dalam hal waktu tunggu staf yang memakan waktu hingga proses, gerakan, dan atau transportasi yang tidak tepat/diperlukan. Perbaikan yang dilakukan sebagai luaran hasil analisis dapat memangkas pemborosan pada aktivitas pengiriman yaitu waiting, inappropriate processing, unnecessary motion dan transporttation, hingga mengurangi waktu siklus sebesar 30%, namun hal tersebut belum dapat menjawab permasalahan target pemenuhan Purchase Order (PO). Simulasi kejadian diskrit dilakukan dengan beberapa skenario yang mengintegrasikan data proses distribusi perusahaan sehingga dapat terlihat waktu siklus keseluruhan produk yang sesuai dengan target pemenuhan PO. Hasil simulasi memperlihatkan bahwa skenario 3 yaitu melalui pengintegrasian proses 1 dan 2 (membuat invoice packing list dan dokumen pengiriman), sistem pembayaran pajak secara online, dan penambahan mesin produksi sebesar 25% dapat memberikan kinerja yang lebih baik, ditunjukkan dengan waktu tunggu PO, waktu tunggu karyawan dan waktu produksi yang paling pendek yaitu sebesar 9.47 jam. Kombinasi metode Value Stream Mapping (VSM) dengan Discrete Event Simulation (DES) mampu memperlihatkan hasil perbaikan secara terintegrasi, sehingga permasalahan pemenuhan PO dapat diselesaikan secara efisien dan efektif.
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