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OverviewThe scientific theme of the book concerns “Manufacturing as a Service (MaaS)” which is developed in a layered cloud networked manufacturing perspective, from the shop floor resource sharing model to the virtual enterprise collaborative model, by distributing the cost of the manufacturing infrastructure - equipment, software, maintenance, networking - across all customers. MaaS is approached in terms of new models of service-oriented, knowledge-based manufacturing systems optimized and reality-aware, that deliver value to customer and manufacturer via Big data analytics, Internet of Things communications, Machine learning and Digital twins embedded in Cyber-Physical System frameworks. From product design to after-sales services, MaaS relies on the servitization of manufacturing operations such as: Design as a Service, Predict as a Service or Maintain as a service. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book’s readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the ‘Industry of the Future’ vision. The book also addresses to master and Ph.D. students enrolled in Engineering Sciences programs. Full Product DetailsAuthor: Theodor Borangiu , Damien Trentesaux , Paulo Leitão , Olivier CardinPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2021 Volume: 952 Weight: 0.860kg ISBN: 9783030693756ISBN 10: 3030693759 Pages: 544 Publication Date: 04 March 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsCloud networked models of knowledge-based intelligent control towards Manufacturing as a Service.- About the applicability of IoT concept for classical manufacturing systems.- An open-source machine vision framework for smart manufacturing control.- Using cognitive technologies as cloud services for product quality control. A case study for greenhouse vegetables.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |