Hasil Pencarian  ::  Simpan CSV :: Kembali

"Kemampuan dalam menghadirkan sebuah produk yang dapat dipastikan tingkat reliability, availabilty, dan mantainability sudah menjadi syarat tersendiri bagi para industri di tengah masyarakat ini. Di dalam siklus hidup sebuah produk, ada tiga tahap utama yang menentukan sifat pokok produk tersebut yakni, tahap perencanaan, produksi, dan penggunaan-pemeliharaan. Penelitian yang ada telah menghadirkan pemodelan perhitungan kompleksitas sistem manufaktur sebagai salah satu jenis alat ukur sebuah produk ketika melewati tahap produksi. Penelitian ini mengadaptasi pemodelan perhitungan kompleksitas ke dalam lingkungan lain yakni pada tahap pemeliharaan dengan menguraikan karakterisasi semua parameter yang berpengaruh dalam setiap tahapan pemeliharaan ke dalam model perhitungan kompleksitas. Pembobotan multi tier ranking dan normalisasi sebagai bagian dalam model perhitungan digunakan untuk menilai parameter parameter tersebut kedalam bentuk angka kuantitatif Pemodelan ini akan berperan sebagai tool untuk menilai kegiatan pemeliharaan yang dijalani oleh sebuah produk Perancangan pemodelan perhitungan kompleksitas pemeliharaan ini ditempuh melalui implementasi pada studi kasus pemeliharaan sepeda motor 100cc dan 883cc. Hasil yang diperoleh adalah nilai indeks kompleksitas pemeliharaan sebesar 79 65 untuk sepeda motor 100cc dan 88 67 untuk sepeda motor 883cc. Pembentukan model perhitungan indeks kompleksitas akan dibahas lebih detail di dalam penelitian ini.

---

The ability to deliver a product, that has the right levels of reliability, availabilty, and mantainability, has become a mandatory requirement for any industry in this era of society. In a product lifecycle, there are three main stages that determine those basic properties in a product, they are : stage of development, production, and use - maintenance. Existing research has presented the complexity of the manufacturing system modeling calculations as a tool to asses a product as it passes through the production stage. This thesis adapted the computation modeling complexity into another environment : the stage of maintenance, by outlining all the parameters, that influence every activity in the maintenance system, into the the model calculations of complexity. Multi-tier ranking and normalization, as part of the calculation model, are being used to assess these parameters in the form of numbers (quantitative). For this time being, this model will serve as a tool to assess the maintenance activities undertaken by a product. The modeling design of maintenance complexity is achieved through the implementation of maintenance case study from 100cc and 883cc motorcycles. The results of the maintenance complexity from the study case are respectively 79.65 for motorcycles 100cc, and 88.67 for 883cc motorcycles. The development for the modeling design of maintenance complexity will be discussed further in this thesis."

"ABSTRAKKecepatan produk sampai ke pasaran menuntut kecepatan dalam pemilihan desain, dimana bentuk desain dipengaruhi oleh fitur, bentuk fitur berbeda bisa memiliki fungsi sama sehingga pilihan bentuk fitur akan ikut menentukan dalam proses permesinan dan biaya produksinyaPada penelitian ini dilakukan penetapan identitas melalui pengenalan informasi geometri dari bentuk-bentuk fitur yang diklasifikasikan oleh Jong-Yun Jung kemudian digambar dengan model solid disimpan bentuk stp atau step file selanjutnya diekstrak dengan notepad sehingga diperoleh entity Advance_Face dan Edge_Curve, yang diolah menjadi koefisien relatif produk.Indek kompleksitas fitur produk mekanik dihitung menggunakan model yang dikembangkan sebelumnya oleh El Maraghy dan diperoleh nilai kompleksitas tertinggi untuk fitur rotasional adalah bentuk Neck yaitu 6,30, fitur prismatik bentuk slot yaitu 6,05, fitur slab yaitu bentuk pocket sebesar 5,66 dan fitur revolving sebesar 4,94

---

AbstractThe speed of products demands speed in the selection of design where design is influenced by the shape of the feature, having different form of a feature can have the same functions so insiders features form options determine the process of machinery and production costs.This research was conducted on identity determination through the introduction of information geometry forms features are classified by Jong-Yun Jung later drawn with CAD solid form, it saved on stp model or step file and then extracted with notepad so that retrieved entity Advance_Face and Edge_Curve, which are processed into relative complexity coefficients.Feature product complexity index was calculated using a model developed by El Maraghy and accrues the highest complexity value for rotational features is a form of neck of 6.30, prismatic features form slots which of 6.05, the form of pocket features slab of 5.66 and revolving features of 4.94."

"The transition within business from a linear to a circular economy brings with it a range of practical challenges for companies. The following question is addressed: What are the product design and business model strategies for companies that want to move to a circular economy model? This paper develops a framework of strategies to guide designers and business strategists in the move from a linear to a circular economy. Building on Stahel, the terminology of slowing, closing, and narrowing resource loops is introduced. A list of product design strategies, business model strategies, and examples for key decision-makers in businesses is introduced, to facilitate the move to a circular economy. This framework also opens up a future research agenda for the circular economy."

"Systematic consideration of environmental aspects within the early stages of product development (PD) can be considered highly significant in order for the overall environmental performance of the product to be improved. Many methods and tools have been developed aiming to enable this consideration and provide the properties that need to be considered and improved. This article provides an overview of some well-known and more applicable tools and methods that have been developed and are available today. The identified tools are generally classified in two groups: Guidelines and Analytical tools. The limitations and barriers of current tools are assessed and categorized and two areas for work are proposed in order to address current limitations in the existing literature. One of the areas is followed and a scoring model is proposed as a new tool for sustainable PD."

"Pemodelan dan identifikasi merupakan suatu tahapan yang penting dan menantang pada perancangan pengendali berbasis model seperti internal model control (IMC) atau model-based predictive control (MBPC). Kebanyakan proses-proses industri merupakan proses-proses non-linier multi-input multi-output (MIMO). Dalam tesis ini dilakukan identifikasi sistem non-linier MIMO empat tangki menggunakan model fuzzy Takagi-Sugeno. Untuk membuat model ini, digunakan algoritma Gustafson-Kessel (GK) fuzzy clustering yang mengotomatisasi pembuatan fungsi keanggotaan dari bagian premis, fungsi affine linier dari bagian konsekuen dan aturan-aturannya. Data-data diperoleh dari simulasi model proses sistem empat tangki.Validasi model menunjukkan bahwa model menunjukkan kinerja sangat balk terhadap data identifikasi dan terhadap data Validasi, dengan nilai Variance Accounted For (VAF) di atas 99%. Uji step menunjukkan model fuzzy Takagi-Sugeno lebih baik dari model linier ARX. Steady state error cenderung meningkat dengan bertambah besarnya amplitudo step, kemungkinan disebabkan oleh data pelatihan yang lebih banyak pada level rendah.

---

Modelling and identification are important and challenging steps in design of control systems especially model-based control systems like internal model control (IMC) and model-based predictive control. Industrial processes are mostly nonlinier multi-input multi output (MIMO) process. Work in this thesis is the identification of nonlinier multi-input multi-output of quadrupole-tank system by fuzzy Takagi-Sugeno model using Gustafson-Kessel (GK) fuzzy clustering algorithm. This algorithm automates membership-function creation of premis part, affine linier function of consequent part, and the rules. Data required to make the model are obtained by simulation of quadrupole-tank process model.

Model validation shows that performance of the model is very good on both identification and validation data, that the value of Variance Accounted For (VAF) is more than 99%. Step test shows that fuzzy Takagi-Sugeno model is better than ARX. Steady state error tend to be worse on increasing of step amplitude, this maybe caused by training data which are mostly at low level."

"This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0."

"Design for Assembly (DFA) adalah salah satu sistem perencanaan perakitan, yang menganalisa desain komponen maupun produk secara keseluruhan, yang dimulai dari awal proses desain hingga menjadi produk yang dapat dipasarkan (marketable). Model perancangan ini bertujuan untuk mendapatkan sejumlah perubahan desain yang secara tidak langsung dapat mengurangi biaya dan waktu, sekaligus memenuhi kebutuhan pelanggan. Dalam penelitian ini dilakukan perancangan danpengembangan produk vaccine carrierbox dengan mempertimbangkan metode Product Design dan Design For Assembly pada perancangannya. Dari hasil perancangan dan analisa DFA pada produkvaccine carrier box, didapat total waktu perakitan untuk desain awal adalah sekitar 519 detik dengan nilai efisiensi sekitar 18% sedangkan total waktu perakitan untuk produk redesain adalah sekitar 405detik dengan nilai efisiensi 24%.

---

AbstractDesign for Assembly (DFA) is a model of assembling planning system that analyzed component design and overall product from beginning to be a marketable product. DFA is used to simplifie an assembling process and to reduce it?s cost to meet the consumer requirement. This research consist to analyze a design model of vaccine carrier box using the DFA and product design concept to reach a minimum production time and design efficiency.The results show that the assembling time can be reduce from 519 seconds to 405 seconds and the design efficiency increase from 18% to 24%.. This mean that the production cost can be minimize as well as the need of the market competitive."

"Proses dispersi pigmen merupakan proses paling penting dan kompleks pada manufaktur tinta cetak. Sebuah perusahaan manufaktur tinta cetak multinasional memproduksi tinta cetak melalui produk setengah jadi atau intermediate yang kemudian dikonversi menjadi tinta cetak siap pakai. Pigmen konsentrat merupakan intermediate dengan proses manufaktur yang paling kompleks karena melibatkan proses dispersi pigmen. Namun, selama periode 2019-2021 nilai persentase Right First Time produksi pigmen konsentrat ada di bawah 70%. Analisis penyebab cacat untuk meningkatkan kualitas pigmen konsentrat sulit dilakukan karena banyaknya faktor yang terlibat dalam prosesnya. Seiring dengan perkembangan teknologi, penggunaan metode Data Mining pada dunia industri telah banyak diteliti. Salah satu aktivitas industri yang dilakukan dengan metode Data Mining adalah klasifikasi kualitas. Pada penelitian ini dilakukan pemodelan klasifikasi kualitas tinta cetak berdasarkan proses dispersi pigmen menggunakan Decision Tree, C4.5 dan CART. Penelitian ini dilakukan dengan kerangka kerja QM-CRISP-DM merujuk pada penelitian Schafer et al. (2018). Data didapatkan dari logbook produksi dan database ERP perusahaan dari tahun 2019-2021. Model dibuat dengan menggunakan 15 variabel independen dengan target variabel kehalusan partikel, cacat atau tidak cacat. Penggunaan metode over-sampling dengan metode cross-validation menghasilkan akurasi tertinggi, yaitu 83.33%. Perbaikan proses guna mendapat produk yang tidak cacat diajukan berdasarkan model yang telah dibuat.

---

The pigment dispersion process is the most important and complex process in printing ink manufacturing. A printing ink manufacturing company produces ink through semi-finished or intermediate products. Pigment concentrate is an intermediate with the most complex manufacturing process because it involves a pigment dispersion process. However, during the 2019-2021 period, the percentage value of the Right First-Time percentage of concentrated pigment production is below 70%. Analysis of the causes of defects to improve the quality of pigment concentrates is difficult because of the many factors involved in the process. Along with technological developments, the use of Data Mining methods in the industrial world has been widely studied. One of the industrial activities carried out using the Data Mining method is quality classification. In this study, a modeling of the quality classification of printing ink based on the pigment dispersion process was carried out using Decision Tree, C4.5 and CART. This research was conducted using the QM-CRISP-DM framework referring to the research of Schafer et al. (2018). The data is obtained from the production logbook and the company's ERP database from 2019-2021. The model is made using 15 independent variables with particle fineness as target variable, defect and not defect. Model with balanced dataset by SMOTE and trained by cross-validation method showed accuracy at 83.33%. Furthermore, improvement actions were proposed based on the constructed model"