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Design of Smart Manufacturing Systems covers the fundamentals and applications of smart manufacturing or Industry 4.0 system design, as well as providing interesting case studies. Digitization and Cyber-Physical Systems (CPS) have vastly increased the amount of data available to manufacturing production systems. This data can provide real-time information on the status of production, and also transmit this information to as many decision centers as required, leading to total integration between the operator, supervisors, managers and laboratory analysts. This digitization also allows the creation of digital replicas of the process (Digital Twins) that can allow the design and simulation of different scenarios to improve decision-making processes. These technologies together, in addition to others can be combined to form a smart manufacturing system, but to do so successfully it is necessary to adopt a new perspective on decision-making processes. To achieve this, 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
