Designing Smart Manufacturing Systems

by Daniel Rossit (Editor), Chaudhery Mustansar Hussain PhD (Editor)

Overview

Design of Smart Manufacturing Systems covers the fundamentals and applications of smart manufacturing or Industry 4.0 system design, along with interesting case studies. Digitization and Cyber-Physical Systems (CPS) have vastly increased the amount of data available to manufacturing production systems. This book addresses the planning, modeling and experimentation of different decision-making problems as well as the conditions that affect manufacturing. In addition, recent developments in the design of smart manufacturing and its applications are explained, covering the needs of both researchers and practitioners.

To fully navigate the challenges and opportunities of smart manufacturing systems, contributions are drawn from operations research, information systems, computer science and industrial engineering as well as manufacturing engineering.

• Addresses hot topics like cybersecurity and artificial intelligence in smart manufacturing systems
• Provides case studies that show how solutions have been applied in practice
• Explores how smart manufacturing systems may impact on operators

Product Details

ISBN-13:	9780323996747
Publisher:	Elsevier Science
Publication date:	04/13/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	420
File size:	34 MB
Note:	This product may take a few minutes to download.

About the Author

Daniel Alejandro Rossit, PhD is a Researcher of CONICET (National Research Council of Argentina) and Professor in the Engineering Department of the Universidad Nacional del Sur, Bahía Blanca, Argentina. He has an Industrial Engineer degree and a PhD in Engineering. His research has focused on production problems, operations research and engineering systems optimization. He has published in journals such as Omega, International Journal of Production Research, The International Journal of Advanced Manufacturing, Computers and Electronics in Agriculture, International Journal of Computer Integrated Manufacturing, among others.

Prof. Chaudhery Mustansar Hussain is an Adjunct Professor and Director of laboratories in the Department of Chemistry&Environmental Sciences at the New Jersey Institute of Technology (NJIT), United States. His research is focused on the applications of nanotechnology and advanced materials, environmental management, analytical chemistry, and other various industries. Dr. Hussain is the author of numerous papers in peer-reviewed journals as well as a prolific author and editor of around 150 books, including scientific monographs and handbooks in his research areas.

Table of Contents

I Smart manufacturing design

1. Cloud manufacturing implementation for smart manufacturing networks 2. Improving Brazilian Engineering Education: real engineering challenges in an IIoT undergraduate course

II Industry 4.0 information technology developments

3. New verification and validation tools for Industry 4.0 software 4. Stepping stone to smarter supervision: a human-centered multidisciplinary framework

III Industry 4.0 business developments

5. How to define a business-specific smart manufacturing solution 6. Assessment of the competitiveness and effectiveness of the business model 4.0 7. Sustainable Business Models in the context of Industry 4.0 8. Understanding Digital Transformation challenges: evidence from Brazilian and British manufacturers 9. Smart green supply chain management: a configurational approach for reaching sustainable performance goals and decreasing COVID-19 impact 10. Multicriteria Decision Making approach for selection and prioritization of projects into the Digital Transformation journey

IV Industry 4.0 production planning and decision making

11. Smart manufacturing scheduling with Petri nets 12. Characterizing nervousness at the shop-floor level in the context of Industry 4.0 13. Digital and smart production planning and control 14. Simulation-based generation of rescheduling knowledge using a cognitive architecture

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From the Publisher

Explains emerging trends and opportunities in smart manufacturing and how to design a successful smart manufacturing system