Digital Readiness. Adopting digital technologies in manufacturing. Guide
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description: To download a DRM free copy of PAS 1040:2019, click here. What is this PAS about? The UK’s Industrial Strategy highlights the opportunities presented by artificial intelligence, automation, data and other digital technologies to transform design and manufacture, deliver industry-wide productivity gains, and enable connected and secure systems. This PAS was developed to support the strategy with a view to helping increase the pace of adoption of digital technologies in the UK manufacturing sector. It gives guidance and examples intended to inspire business leaders interested in digital transformation. Who is this PAS for? UK manufacturers of all sizes including suppliers, makers and customers for manufactured goods and services Any other businesses looking to increase business efficiencies and competitiveness It can also benefit developers and providers of digital readiness diagnostic tools This PAS is not intended to be used directly by end consumers. Why should you use this PAS? The future of manufacturing is digital. Digital technologies enable improved productivity and competitiveness. They support collaboration within and between businesses for greater innovation. They engage businesses with their customers, enabling mass customization and tailored services. They help in the development of new skills and careers. That said, the adoption of digital technologies might be constrained by factors such as a lack of awareness of their relevance to a business; their perceived complexity or cost; a lack of capability or capacity in the business; or poor leadership and a narrow strategy. Therefore, the guidance in this PAS is intended to inspire any business leader interested in digital transformation with descriptions and examples of what can be achieved. It provides: Guidance on identifying and understanding the range of potential business factors to be taken into consideration in planning and implementing the digital journey A standardized methodology for assessing the…
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