Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology

The book "Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology" discusses how manufacturers can implement effective production networks for mass personalization in the era of cloud technology. It highlights the need for innovation in production network methodologies to meet the challenges of shorter product lifecycles and increased variety and complexity of production. It also refers to key enabling technologies such as artificial intelligence, the digital twin, big data analytics, and the internet of things to help users integrate the cloud approach with a fully digitalized production system.

Format: Paperback / softback
Length: 406 pages
Publication date: 12 November 2021
Publisher: Elsevier Science Publishing Co Inc

The design and operation of production networks for mass personalization in the era of cloud technology is a crucial topic that requires attention to the latest industry advances. With shorter product lifecycles, manufacturers face increasing pressure to remain competitive and profitable, which has led to innovation in production network methodologies. This innovation, combined with opportunities provided by new digital technologies, has driven a rapid evolution of production engineering, offering new solutions to the challenges of mass personalization and market uncertainty.

One of the key developments in this field is the integration of cloud technology into production systems. Cloud computing offers a range of benefits, such as increased flexibility, scalability, and cost-effectiveness, that can help manufacturers streamline their operations and improve their customer service. However, integrating cloud technology with a fully digitalized production system can be challenging, and requires the use of key enabling technologies such as artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT).

Artificial intelligence is particularly important in this context, as it can help manufacturers analyze large amounts of data and make informed decisions about production. The digital twin, on the other hand, can help manufacturers simulate and optimize their production processes before they are implemented in the real world. Big data analytics can help manufacturers identify patterns and trends in customer behavior and production data, which can inform their decision-making processes. Finally, the IoT can help manufacturers connect their production systems with other devices and systems, enabling real-time monitoring and control.

In conclusion, the design and operation of production networks for mass personalization in the era of cloud technology requires attention to the latest industry advances and the integration of key enabling technologies such as cloud technology, artificial intelligence, the digital twin, big data analytics, and the IoT. By leveraging these technologies, manufacturers can improve their efficiency, reduce their costs, and provide better customer service.

Weight: 450g
Dimension: 229 x 152 (mm)
ISBN-13: 9780128236574