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"Digital manufacturing science uses theorems, illustrations and tables to introduce the definition, theory architecture, main content, and key technologies of digital manufacturing science. Readers will be able to develop an in-depth understanding of the emergence and the development, the theoretical background, and the techniques and methods of digital manufacturing science. Furthermore, they will also be able to use the basic theories and key technologies described in Digital manufacturing science to solve practical engineering problems in modern manufacturing processes."

"This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed."

"This book introduces the materials and traditional processes involved in the manufacturing industry. It discusses the properties and application of different engineering materials as well as the performance of failure tests. The book lists both destructible and non-destructible processes in detail. The design associated with each manufacturing processes, such Casting, Forming, Welding and Machining, are also covered."

"This book presents selected proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. Focusing on recent developments in the field of production and manufacturing engineering, it provides solutions to wide-ranging contemporary problems in manufacturing engineering and other allied areas using analytical models and the latest numerical approaches. The topics covered in this book include conventional and non conventional machining, casting, welding, materials and processing. As such it is useful to academics, researchers and practitioners working in the field of manufacturing and production engineering.;"

"Produksi kendaraan pada industri otomotif Indonesia dalam delapan tahun terakhir cenderung mengalami peningkatan. Hal ini mendorong seluruh industri otomotif untuk meningkatkan performa sistem manufakturnya agar dapat bersaing dengan kompetitor lain. PT Ganding Toolsindo merupakan perusahaan otomotif yang berperan sebagai pemasok sub assembly part pada tingkat tier 2. Sebagai perusahaan dengan tipe tata letak mesin process layout, penyesuaian tata letak mesin dengan keluarga produk yang ada menjadi penting. Tata letak mesin pada kondisi saat ini yang belum disesuaikan dengan keluarga produk menimbulkan pemborosan transportasi material handling dan aliran material yang tidak efisien sehingga berefek pada meningkatnya lead time mayoritas produk dan mengakibatkan keterlambatan pengiriman atau tidak terpenuhinya target produksi. Penelitian ini dirancang untuk melakukan perancangan lean production system berbasis konsep cell manufacturing menggunakan Modified Single Linkage Clustering dengan parameter performa yang terdiri atas jarak dan durasi material handling, lead time, serta total waktu produksi. Hasil penelitian menunjukkan bahwa total jarak dan durasi materal handling berkurang sebanyak 60 , rata-rata lead time seluruh jenis produk berkurang sebesar 55 , dan total waktu produksi berkurang sebanyak 4.

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Vehicle production in Indonesian automotive industry tend to increase in the last 8 years. This encourages the entire automotive industry to improve the performance of its manufacturing systems in order to compete with existing competitors. PT Ganding Toolsindo is an automotive company at second tier level that supply sub assembly part.

As a company that using process layout type, adjustment of machine layout with the existing product family becomes important. Existing machine layout in this company that has not been adjusted with the product family cause waste of material handling transportation and inefficient material flow resulting in increased lead time in the majority of products and resulting in delays in delivery or unfulfilled production targets.

This research is designed to do the design of lean production system based on cell manufacturing concept using Modified Single Linkage Clustering by using performance parameter consisting of distance and duration of material handling, lead time, and total time of production. Result of the research showed that total distance and duration of material handling decrease in the amount of 60 , lead time average of all product decrease in amount of 55 , and total time of production decrease in amount of 4 compared to the initial machine layout."

"Manufacturing process selection handbook provides engineers and designers with process knowledge and the essential technological and cost data to guide the selection of manufacturing processes early in the product development cycle.Building on content from the authors? earlier introductory process selection guide, this expanded handbook begins with the challenges and benefits of identifying manufacturing processes in the design phase and appropriate strategies for process selection. The bulk of the book is then dedicated to concise coverage of different manufacturing processes, providing a quick reference guide for easy comparison and informed decision making.For each process examined, the book considers key factors driving selection decisions, including, basic process descriptions with simple diagrams to illustrate, notes on material suitability, notes on available process variations, economic considerations such as costs and production rates, typical applications and product examples, and notes on design aspects and quality issues."