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"This is the first book which exploits concepts and tools of global nonlinear dynamics for bridging the gap between theoretical and practical stability of systems/structures, and for possibly enhancing the engineering design in macro-, micro- and nano-mechanics. Addressed topics include complementing theoretical and practical stability to achieve load carrying capacity; dynamical integrity for analyzing global dynamics, for interpreting/predicting experimental behavior, for getting hints towards engineering design; techniques for control of chaos; response of uncontrolled and controlled system/models in applied mechanics and structural dynamics by also considerung the effect of system imperfections; from relatively simple systems to multidimensional models representative of real world applications; potential and expected impact of global dynamics for engineering design."

"[Computer-aided nonlinear control system design provides such an approach based on the use of describing functions. The text deals with a large class of nonlinear systems without restrictions on the system order, the number of inputs and/or outputs or the number, type or arrangement of nonlinear terms. The strongly software-oriented methods detailed facilitate fulfillment of tight performance requirements and help the designer to think in purely nonlinear terms, avoiding the expedient of linearization which can impose substantial and unrealistic model limitations and drive up the cost of the final product.Design procedures are presented in a step-by-step algorithmic format each step being a functional unit with outputs that drive the other steps. This procedure may be easily implemented on a digital computer with example problems from mechatronic and aerospace design being used to demonstrate the techniques discussed. The author?s commercial MATLAB®-based environment, available separately from insert URL here, can be used to create simulations showing the results of using the computer-aided control system design ideas characterized in the text.;Computer-aided nonlinear control system design provides such an approach based on the use of describing functions. The text deals with a large class of nonlinear systems without restrictions on the system order, the number of inputs and/or outputs or the number, type or arrangement of nonlinear terms. The strongly software-oriented methods detailed facilitate fulfillment of tight performance requirements and help the designer to think in purely nonlinear terms, avoiding the expedient of linearization which can impose substantial and unrealistic model limitations and drive up the cost of the final product.Design procedures are presented in a step-by-step algorithmic format each step being a functional unit with outputs that drive the other steps. This procedure may be easily implemented on a digital computer with example problems from mechatronic and aerospace design being used to demonstrate the techniques discussed. The author?s commercial MATLAB®-based environment, available separately from insert URL here, can be used to create simulations showing the results of using the computer-aided control system design ideas characterized in the text.;Computer-aided nonlinear control system design provides such an approach based on the use of describing functions. The text deals with a large class of nonlinear systems without restrictions on the system order, the number of inputs and/or outputs or the number, type or arrangement of nonlinear terms. The strongly software-oriented methods detailed facilitate fulfillment of tight performance requirements and help the designer to think in purely nonlinear terms, avoiding the expedient of linearization which can impose substantial and unrealistic model limitations and drive up the cost of the final product.Design procedures are presented in a step-by-step algorithmic format each step being a functional unit with outputs that drive the other steps. This procedure may be easily implemented on a digital computer with example problems from mechatronic and aerospace design being used to demonstrate the techniques discussed. The author?s commercial MATLAB®-based environment, available separately from insert URL here, can be used to create simulations showing the results of using the computer-aided control system design ideas characterized in the text., Computer-aided nonlinear control system design provides such an approach based on the use of describing functions. The text deals with a large class of nonlinear systems without restrictions on the system order, the number of inputs and/or outputs or the number, type or arrangement of nonlinear terms. The strongly software-oriented methods detailed facilitate fulfillment of tight performance requirements and help the designer to think in purely nonlinear terms, avoiding the expedient of linearization which can impose substantial and unrealistic model limitations and drive up the cost of the final product.Design procedures are presented in a step-by-step algorithmic format each step being a functional unit with outputs that drive the other steps. This procedure may be easily implemented on a digital computer with example problems from mechatronic and aerospace design being used to demonstrate the techniques discussed. The author’s commercial MATLAB®-based environment, available separately from insert URL here, can be used to create simulations showing the results of using the computer-aided control system design ideas characterized in the text.]"

"In this paper a new current comparator architecture is presented, which utilizes the concept of nonlinear feedback to speed up the operation. The analytical formulation for quantifying the effect of the feedback is put forward. The functionality of the proposed comparator is verified using simulations carried out on an Orcad Pspice tool using Taiwan Semiconductors Manufacturing Company (TSMC) 0.18 µm technology parameters. The resolution and delay are found to be ± 10 nA and 1.48 ns, respectively at a reference current of 1µA. The effects of parameter variations on the performance of the proposed comparator at different design corners is also studied. The usefulness of the proposed comparator is demonstrated through a 3-bit current mode flash Analog to Digital Converter (ADC) and its performance parameters are also calculated using simulations. The simulation results show that the 3-bit current mode flash Analog to Digital Converter exhibits no missing codes and has Differential Non-Linearity (DNL) of -0.25 Least Significant Bit (LSB) and Integral Non-Linearity (INL) of -0.19 LSB."

"Istilah keseimbangan lini (assembly line balancing) merupakan suatu metode penugasan sejumlah pekerjaan ke dalam stasiun kerja yang saling berkaitan dalam satu lini produksi dimana setiap stasiun kerja memiliki waktu yang tidak melebihi waktu siklus dari stasiun kerja tersebut. Keterkaitan sejumlah pekerjaan dalam suatu lini produksi harus dipertimbangkan dalam menentukan pembagian pekerjaan dengan pekerjaan lainnya. Keterkaitan antar pekerjaan ini digambarkan dalam suatu diagram keterkaitan (precedence diagram), sedangkan hubungan antar pekerjaan disebut precedence job atau precedence network . Metode heuristik adalah salah satu cara yang umum digunakan dalam kehidupan nyata untuk memecahkan masalah keseimbangan lini lintasan perakitan ini. Dalam skripsi ini, metode heuristik yang efisien digunakan untuk memecahkan masalah keseimbangan lini lintasan perakitan dengan pendekatan deterministik dan model tunggal. Metode heuristik tersebut adalah metode heuristik Algoritma Genetika. Algoritma Genetika yang digunakan untuk memecahkan masalah keseimbangan lini lintasan perakitan ini dibentuk dengan struktur kromosom yang khusus dan diaplikasikan melalui software MATLAB. Hasil dari perhitungan keseimbangan lini lintasan perakitan dengan menggunakan metode Algoritma Genetika akan dibandingkan dengan keseimbangan lini lintasan perakitan yang telah diterapkan oleh salah satu pabrik otomotif. Metode Algoritma Genetika terbukti menghasilkan keseimbangan lini lintasan perakitan yang lebih optimal dibandingkan keseimbangan lini yang lama. Hal itu dapat dibuktikan dengan membandingkan jumlah stasiun kerja, efisiensi lintasan, dan nilai smoothness.

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The term equilibrium line (assembly line balancing) is a method of assignment of a job into work stations interconnected in a production line where each work station has a time not exceeding the cycle time from the work station. Linkage amount of work within a production line must be considered in determining the division of labor with other jobs. Links between this work is described in a relationship diagram (precedence diagram), while the relationship between job is called job precedence or precedence network. Heuristic methods are one of the ways commonly used in real life to solve the problem of the balance of these assembly-line trajectory. In this thesis, an efficient heuristic method is used to solve the problem of balancing assembly line with a deterministic approach and a single model. The heuristic method is heuristic methods Genetic Algorithms. Genetic algorithms are used to solve the problem of balancing lines assembly line was formed with the specific chromosome structure and applied through MATLAB software. The results of the calculation of the balance lines assembly line using Genetic Algorithms will be compared with the balance of the assembly line of the track that has been applied by one of the automotive factory. Genetic Algorithm method proved to produce a balance line assembly line is more optimal than the old equilibrium line. It can be proved by comparing the number of work stations, the efficiency of the track, and the value of smoothness."

"Pertumbuhan industri otomotif yang semakin meningkat di Indonesia belum diimbangi dengan jumlah pemasok bahan baku lokal dan membuat industri otomotif bergantung pada aktivitas impor. Seiring dengan banyaknya kebutuhan aktivitas impor ini, maka dibutuhkan pula aktivitas logistik yang lebih besar. Namun dengan biaya logistik yang tinggi, membuat perusahaan harus meningkatkan efisiensi untuk dapat terus bersaing dalam industri nasional. Oleh karena itu, perlu adanya perencanaan aktivitas inbound logistik yang mengatur pergerakan material dari pemasok hingga sampai ke pabrik. Pada penelitian ini, dikembangkan sebuah model optimasi menggunakan pendekatan pemrograman non linier integer campuran yang diselesaikan dengan algoritma branch and bound. Hasil dari penelitian ini, yaitu didapatkan total biaya inbound logistik yang optimal mencakup biaya material, biaya transportasi, dan biaya pelabuhan. Model ini juga dapat digunakan sebagai alat bantu perusahaan dalam pengambilan keputusan mengenai tipe kontainer dan jumlah kontainer yang digunakan beserta total muatan yang optimal dalam setiap kontainer, sehingga didapatkan nilai utilasi kontainer yang tinggi.

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The increasing growth of automotive industry in Indonesia has not been matched by the number of local suppliers and makes the automotive industry too dependent on imported raw materials. Along with the needs of import activities, it is also required a greater logistics activities. However, with high logistics costs, the manufacturer must increase efficiency to be able compete in the global market. This can be accomplished by planning inbound logistics activities that control the movement of materials from suppliers to the manufacture.

In this research, an optimization methodology, based on Mixed Integer Nonlinear Programming MINLP approach is developed and solved with branch and bound algorithm.

The result of this research, which obtained the total cost of optimal inbound logistics include material cost, transportation cost, and administration cost. This model can also be used as a tool for the company in making decisions about the type and the number of container also with the total of the optimal material load in each container, therefore the optimal container space utilization value can be obtained."

"The book includes the best articles presented by researchers, academicians and industrial experts at the International Conference on Innovative Design and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018). The book discusses new concept in designs, and analysis and manufacturing technologies for improved performance through specific and/or multi-functional design aspects to optimise the system size, weight-to-strength ratio, fuel efficiency and operational capability. Other aspects of the conference address the ways and means of numerical analysis, simulation and additive manufacturing to accelerate the product development cycles.Describing innovative methods, the book provides valuable reference material for educational and research organizations, as well as industry, wanting to undertake challenging projects of design engineering and product development."

"This book gathers the best articles presented by researchers and industrial experts at the International Conference on Innovative Design and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018). The papers discuss new design concepts, analysis and manufacturing technologies, with an emphasis on achieving improved performance by downsizing; improving the weight-to-strength ratio, fuel efficiency, and operational capability at room and elevated temperatures; reducing wear and tear; and addressing NVH aspects, while balancing the challenges of Euro IV/Barat Stage IV emission norms and beyond, greenhouse effects, and recyclable materials. The innovative methods discussed here offer valuable reference material for educational and research organizations, as well as industry, encouraging them to pursue challenging projects of mutual interest. "

"Recent literature in automotive research indicates that studies of the environmental impact mostly concern metal-based components. Environmental effects are mainly analyzed using “environmental performance indicators” and “life cycle assessment” techniques. Therefore, a knowledge gap in the field of studying automotive plastic components should be conducted based on analyzing material and manufacturing processes selection at the design stage. The research is focused on a plastic component previously unexplored and analyzed using tools that have not been employed for this application. A computer-aided tool was used to model the part and its associated sustainability function was used to analyze its environmental impact. The component was analyzed using different materials and manufacturing processes, then redesigned to be more ergonomic. The improved component design was manufactured using rapid prototyping and a consumer preference survey was conducted to determine which component was preferred. The research found that by changing the material to high-density polyethylene there would be approximately a 30% reduction in carbon footprint, 24% reduction in air acidification, 26% reduction in water eutrophication and 15% reduction in total energy consumption. Injection molding is found to be the most sustainable manufacturing process."