Designing Smart Manufacturing Systems
Editat de Daniel Rossit, Chaudhery Mustansar Hussainen Limba Engleză Paperback – 18 apr 2023
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
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Specificații
ISBN-13: 9780323992084
ISBN-10: 0323992080
Pagini: 420
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.66 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323992080
Pagini: 420
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.66 kg
Editura: ELSEVIER SCIENCE
Public țintă
Advanced students, researchers, and manufacturing engineers with an interest in Industry 4.0 and smart factories.Cuprins
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
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