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Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability

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Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and SustainabilityНазвание: Smart Manufacturing: Integrating Transformational Technologies for Competitiveness and Sustainability
Автор: Hebab A. Quazi, Scott M. Shemwell
Издательство: CRC Press
Год: 2023
Страниц: 171
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

The manufacturing industries remain the foundation of local, regional, and global economies. Manufacturing plants operate in dynamic markets that demand upgrading with transformational technologies for maintaining profitability, competitiveness, and business sustainability. Yet most manufacturing plants currently use technologies that are no longer competitive, and industry leaders face an overwhelming array of operational challenges that require agile and enhanced transformational solutions. This book offers manufacturers effective strategies and tools for the adoption and implementation of advanced operational technologies to ensure long-term innovation, efficiency, and profitability.

Transformational Technologies that have potentials include Digitization, Artificial Intelligence, Machine Learning, Digital Twin, Industrial Internet of Things, and Cyber Security. Appropriateness of these technologies varies in the application of Automation, Optimization, Energy Conversion and Conservation, Resource Utilization, Assets Utilization, Quality Management, and Supply-Chain Integration.

Application of these transformational technologies influences business profitability, competitiveness, and sustainability. Smart Manufacturing know-how will assist the industry appropriately. The approach to processing, mechanical operation, raw-materials conversion, products-specification, and supply-chain operation are all keys to Smart Manufacturing success. Technological innovation plays an important role in the success of Smart Manufacturing. Certain industries are in transition, and data-focused innovation sometimes brings enormous benefits to manufacturing. It is very important to have the automation professionals with appropriate knowledge to bring improved benefits from these transformational technologies. These steps can assure the manufacturing industry profitability, competitiveness, and sustainability. Appropriate digital transformational know-how can benefit the ever-changing digital landscape. Knowledge of the latest techniques in IIoT, AI, data analytics, and simulation along with edge computing and cloud computing can take the manufacturing industries to the next generation. Also, the knowledge about the dynamic world of automation including cybersecurity would be essential for protecting the plant data from external threats.

Artificial Intelligence (AI) is being applied in the market place to secure greater benefits. AI in association with Machine Learning (ML) is now a powerful tool for the industries. AI along with IIoT helped develop “Industry 4.0” platform. These innovative technologies are helping manufacturing plants become more efficient and competitive, especially in the oil and gas, chemical, petrochemicals, mining, and manufacturing sectors. Adoption of AI with nanotechnology will have wide applications. There are certain developing areas where AI converges with nanotechnology. In the imaging area, AI benefits scanning probe microscopy. Applications in this area have resolution issues particularly in imaging samples at nanoscale. This approach can help to make a more efficient imaging system. From a simulation perspective, there are many different parameters that need to be correlated to accurately produce either an image or a moving depiction of a working system. AI can better collate the data, learn from past systems, and produce a more accurate representation of the system. AI can adopt nanocomputing. The computation is performed through nanoscale devices and a wide range of AI methodologies can be applied to nanosensors.

Covers advanced automation integration in manufacturing, including digitization, AI, Machine Learning, IIoT, and cybersecurity
Describes innovation, development, and integration of control technologies for sustainable manufacturing
Explains how to upgrade existing manufacturing plants for the global market
Shows how to apply emerging technologies including asset optimization and process integration for product lifecycle improvements, plant operation and maintenance enhancement, and supply chain integration

This book serves as a strategic guide to applying advanced operational technologies for engineers, industry professionals, and management in the manufacturing sector.

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