Manufacturing in Real-Time PDF Download

Author: Gian Frontini
Publisher: Butterworth-Heinemann
ISBN: 9780750677226
Category : Business & Economics
Languages : en
Pages : 232

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Book Description
The development of self-operating machines is the foundation of modern manufacturing. The current manufacturing environment is based on automation and smart machines that have the ability tomake things with a level of accuracy and consistency that humans cannot match. In order to maximize efficiency, engineers and managers need to change their outlooks, processes and stragegies and as a result, adopt new mthods and management systems. This book presents a brief history of manufacturing and the changes in the current manufacturing environenment. Topics covered include supply chain management, product streams, the role of automation in the supply chain, the relationships between machines and people in automated product streams, variation and quality control, statistical process control, the flow of information in a supply chain and, how we are affected by new technologies. Examples are used throughout to demonstrate each idea and process. A CD with lectures, slides, tutorials and dynamic models is included

Author: Michael McClellan
Publisher: CRC Press
ISBN: 1420025341
Category : Business & Economics
Languages : en
Pages : 263

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Book Description
Collaborative manufacturing is an interactive process with great potential, but without the direct input of the plant floor systems information, a significant piece of the management process is not available for consideration. Collaborative Manufacturing provides guidance and examples of how and why real-time events within the plant floor managemen

Author: Eric Schaeffer
Publisher: Kogan Page Publishers
ISBN: 0749484659
Category : Business & Economics
Languages : en
Pages : 393

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Book Description
Create the personalized and compelling experiences that today's customers expect by harnessing AI and digital technologies to create smart connected products, with this cutting-edge guide from senior leaders at Accenture. Digital technology is both friend and foe: highly disruptive, yet it cannot be ignored. As traditional products transform into smart connected products faster than ever before, companies that fail to make use of it now put themselves in the firing line for disintermediation or even eradication. However, digital technology is also the biggest opportunity for product-making businesses to create the next generation of goods in the marketplace. In Reinventing the Product, Eric Schaeffer and David Sovie, both Senior Managing Directors at Accenture, show how this reinvention is made possible, to deliver truly intelligent, and often even autonomous, products. Reinventing the Product makes the case for companies to rethink their product strategy, innovation and engineering processes, including: - How to harness the opportunities of AI and digital technologies, such as IoT sensors, blockchain, advanced analytics, cloud and edge computing - Practical advice on transforming their entire culture to build the future of successful 'living products' - Features case studies from global organizations such as Faurecia, Signify, Symmons and Haier and interviews with thought leaders from top companies including Amazon, ABB, Tesla, Samsung and Google This book provides the only advice any product-making company needs as it embarks on, or accelerates, its digitization journey.

Author: Daniel Metz
Publisher: Springer Science & Business Media
ISBN: 3658037504
Category : Business & Economics
Languages : en
Pages : 187

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Book Description
Enterprises have to react instantly to changing market conditions and disturbances that occur during execution of value creation processes. Depending upon the processes’ context, the goal is to significantly reduce lead times, reaction times, and time-to-market, among others. The vision of a real-time enterprise (RTE), which is able to sense and analyze events from internal and external sources, and perform adequate (re-)actions, has been envisaged by manufacturing enterprises. Daniel Metz presents a framework based on EDA and CEP towards the realization of RTE in manufacturing. The framework closes the vertical integration gap, and further, establishes feedback in (near) real-time among enterprise levels. As such, the framework provides a holistic and closed-loop control of (manufacturing) processes, and encompasses results and insights from management, engineering, and computer science. The framework has been implemented for a small and medium sized foundry in Germany. The developed control approach has led to a significant increase in (manufacturing) processes’ efficiency (i.e., performance, quality, and availability).

Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 368

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Book Description
In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear—to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309176719
Category : Technology & Engineering
Languages : en
Pages : 190

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Book Description
This book describes a vision of manufacturing in the twenty-first century that maximizes efficiencies and improvements by exploiting the full power of information and provides a research agenda for information technology and manufacturing that is necessary for success in achieving such a vision. Research on information technology to support product and process design, shop-floor operations, and flexible manufacturing is described. Roles for virtual manufacturing and the information infrastructure are also addressed. A final chapter is devoted to nontechnical research issues.

Author: Paolo Brandimarte
Publisher: Springer Science & Business Media
ISBN: 3662038536
Category : Technology & Engineering
Languages : en
Pages : 221

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Book Description
Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.

Author: Fumihiko Kimura
Publisher: Springer Science & Business Media
ISBN: 1848002661
Category : Business & Economics
Languages : en
Pages : 555

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Book Description
Collected here are 112 papers concerned with new directions in manufacturing systems, given at the 41st CIRP Conference on Manufacturing Systems. The high-quality material includes reports of work from both scientific and engineering standpoints.

Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 390

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Book Description
In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

Author: Carlos Toro
Publisher: Springer Nature
ISBN: 3030672700
Category : Technology & Engineering
Languages : en
Pages : 418

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Book Description
This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.