Big Data Analytics in Smart Manufacturing: Principles and Practices - Image 1

£90.36

CRC Press Big Data Analytics in Smart Manufacturing: Principles and Practices

Name: Big Data Analytics in Smart Manufacturing: Principles and Practices
Brand: CRC Press
Price: 90.36 GBP
Availability: InStock

Data Mining

This is the most expensive it has ever been. Walk away.

£90 today · previous high £90 · all-time low £84

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 44 days • 44 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 44 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £90 (29 days, 65.9%)

Price range: £84 - £90

Price levels: 2 different prices over 44 days

Description

The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1032065516
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 14 December 2022
Listed Since: 01 July 2022

Barcode

No barcode data available

CRC Press Big Data Analytics in Smart Manufacturing: Principles and Practices

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Big Data Analytics in Smart Manufacturing: Principles and Practices

Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing (Advances in Intelligent Decision-Making, Systems Engineering, and Project Management)

Intelligent Manufacturing Management Systems: Operational Applications of Evolutionary Digital Technologies in Mechanical and Industrial Engineering

Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing

Service Orientation in Holonic and Multi-Agent Manufacturing: 640 (Studies in Computational Intelligence, 640)

Service Orientation in Holonic and Multi-Agent Manufacturing: 640 (Studies in Computational Intelligence, 640)

Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

Advances in Manufacturing II: Volume 2 - Production Engineering and Management (Lecture Notes in Mechanical Engineering)

Machine Learning for Sustainable Manufacturing in Industry 4.0: Concept, Concerns and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)

CRC Press Handbook of Manufacturing and Supply Systems Design

The 15th International Conference Interdisciplinarity in Engineering: Conference Proceedings: 386 (Lecture Notes in Networks and Systems, 386)

The Dark Factory and the Future of Manufacturing: A Guide to Operational Efficiency and Competitiveness

Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability (Commercializing Emerging Technologies)

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2020: 952 (Studies in Computational Intelligence, 952)

AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications (Intelligent Manufacturing and Industrial Engineering)

Digital Manufacturing and Assembly Systems in Industry 4.0 (Science, Technology, and Management)

Proceedings of 20th International Conference on Industrial Engineering and Engineering Management: Theory and Apply of Industrial Management

Advances in Production Management Systems. Towards Smart and Digital Manufacturing: IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, ... and Communication Technology, 592)

Digital Transformation in Your Manufacturing Business: A Made Smarter Guide

Manufacturing Facilities: Location, Planning, and Design, Third Edition

The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems (Wiley Series in Systems Engineering and Management)

Faster, Better, Cheaper in the History of Manufacturing: From the Stone Age to Lean Manufacturing and Beyond

Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016: Theory and Application of Industrial Engineering

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International ... and Communication Technology, 630)