Автор: Pravir K. Chawdhry; Rajkumar Roy; Raj K. Pant Название: Soft Computing in Engineering Design and Manufacturing ISBN: 3540762140 ISBN-13(EAN): 9783540762140 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and *evolutioo of the computing strategies of the learning agent itself.
Автор: Oscar Castillo; Patricia Melin Название: Soft Computing and Fractal Theory for Intelligent Manufacturing ISBN: 3662002965 ISBN-13(EAN): 9783662002964 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yoshiaki Shimizu; Zhang Zhong; Rafael Batres Название: Frontiers in Computing Technologies for Manufacturing Applications ISBN: 1849966869 ISBN-13(EAN): 9781849966863 Издательство: Springer Рейтинг: Цена: 26711.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In today`s competitive world, industries focus on shorter lead times, improved quality, reduced cost, improved productivity and better customer service.
Автор: Li, Weidong, Liang, Yuchen, Wang, Sheng Название: Data Driven Smart Manufacturing Technologies and Applications ISBN: 3030668487 ISBN-13(EAN): 9783030668488 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications.
Автор: Feld, William M (Lean Manufacturing Consultant, Saint Peters, Missouri, USA) Название: Lean Manufacturing.- CRC Press, 2000. - Hardback, 248 p. ISBN: 157444297X ISBN-13(EAN): 9781574442977 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers insight into the appropriate use of assessment, analysis, design, and most importantly, deployment of a successful lean manufacturing program. Packed with practical advice and tips, this book covers the implementation of lean manufacturing. It includes the tools and techniques along with an understanding of how and why they work.
Автор: Sharma, Sanjay Название: Manufacturing inventory and supply analysis ISBN: 1032081708 ISBN-13(EAN): 9781032081700 Издательство: Taylor&Francis Рейтинг: Цена: 13626.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This reference text discusses models and analyzes cases that are useful for material requirements planning (MRP), just-in-time (JIT) environments and supply chain environments, as well as traditional production-inventory systems.It covers important concepts, including production-inventory systems, optimal purchase quantity, optimal production quantity, instantaneous procurement, multiple input items, sensitivity analysis, multiproduct manufacturing, determination of optimum cycle time, fractional backlogging, and incorporating input item procurement and flexibility in the production rate.Aimed at senior undergraduate and graduate students, and professionals in the field of industrial engineering, production engineering and manufacturing science, this text:Provides detailed models/analysis pertaining to various cases which are useful for material requirements planning and supply chain environmentsElaborates manufacturing rate flexibility, demand variation and production rate variationDiscusses the multi-item manufacturing environment and presents models with backorders, as well as fractional backloggingAnalyzes flexible production rates, along with upward and downward variations
Описание: In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system.
Автор: Luo Название: Smart Manufacturing Innovation And Transformation ISBN: 1466658363 ISBN-13(EAN): 9781466658363 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence.Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research and development triggered by ubiquitous interconnection and intelligence. This reference work discusses the transformation of manufacturing, the latest developments in smart manufacturing innovation, current and emerging technology opportunities, and market imperatives that enable manufacturing innovation and transformation, useful tools for readers in industry, academia, and government.
Описание: Focuses on how to create business opportunities and reap savings by restructuring and updating ERP and CRM software as it integrates supply chain management and delivers various killer applications.
Автор: Lihui Wang; Fengfeng Xi Название: Smart Devices and Machines for Advanced Manufacturing ISBN: 1848001460 ISBN-13(EAN): 9781848001466 Издательство: Springer Рейтинг: Цена: 22797.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a collection of quality chapters on the state-of-the-art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The first section presents a broad-based review of several key areas of research in smart devices and machines.
Автор: Pedro Neto; Ant?nio Paulo Moreira Название: Robotics in Smart Manufacturing ISBN: 3642392229 ISBN-13(EAN): 9783642392221 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers address issues such as robotic machining, off-line robot programming, robot calibration, new robotic hardware and software architectures, advanced robot teaching methods, intelligent warehouses, robot co-workers and application of robots in the textile industry.
The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of ‘the factories of the future’, which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.
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