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Full Description
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.
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
