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1971 year - 2024 year

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Production engineering

Impact Analysis of Total Productive Maintenance

Author: Jorge Luis Garcia-Alcaraz
Jose Roberto Diaz-Reza
Valeria Martinez-Loya
Publishing date: 2018
This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. 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.
587.00 zł
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Networking in Japanese Factory Automation

Author: K Kishimoto
Publishing date: 2010
Discusses the ring-type LAN; the TOSLINE-8000 high-speed optical data highway for high-speed real-time control systems; the TOSLINE-2000E, a compact, low-cost independent local area network; and, the status of MAP, a communications protocol for manufacturing automation established by General Motors and MAP activities in Japan.
378.00 zł
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Simulation and Experiments of Material-Oriented Ultra-Precision Machining

Publishing date: 2019
Ultra-precision machining is a promising solution for achieving excellent machined surface quality and sophisticated micro/nano-structures that influence the applications of components and devices. Further, given the ultrathin layer of material removed, it is a highly coupled process between cutting tool and material. In this book, scientists in the fields of mechanical engineering and materials science from China, Ukraine, Japan, Singapore present their latest research findings regarding the simulation and experiment of material-oriented ultra-precision machining. Covering various machining methods (cutting, grinding, polishing, ion beam and laser machining) and materials (metal, semiconductor and hard-brittle ceramics), it mainly focuses on the evaluation of the
592.00 zł
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Welding and Cutting Case Studies with Supervised Machine Learning

Author: Abhinav Karan
Akhil Garg
Arungalai Vendan
Liang Gao
Rajeev Kamal
Xiaodong Niu
Publishing date: 2020
This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied
565.01 zł
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