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.- 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
Table of Contents
I Smart manufacturing design1. Cloud manufacturing implementation for smart manufacturing networks2. Improving Brazilian Engineering Education: real engineering challenges in an IIoT undergraduate courseII Industry 4.0 information technology developments3. New verification and validation tools for Industry 4.0 software4. Stepping stone to smarter supervision: a human-centered multidisciplinary frameworkIII Industry 4.0 business developments5. How to define a business-specific smart manufacturing solution6. Assessment of the competitiveness and effectiveness of the business model 4.07. Sustainable Business Models in the context of Industry 4.08. Understanding Digital Transformation challenges: evidence from Brazilian and British manufacturers9. Smart green supply chain management: a configurational approach for reaching sustainable performance goals and decreasing COVID-19 impact10. Multicriteria Decision Making approach for selection and prioritization of projects into the Digital Transformation journeyIV Industry 4.0 production planning and decision making11. Smart manufacturing scheduling with Petri nets12. Characterizing nervousness at the shop-floor level in the context of Industry 4.013. Digital and smart production planning and control14. Simulation-based generation of rescheduling knowledge using a cognitive architecture
