How to Build Resilience in the US Printing Industry

The manufacturing industry is experiencing global upheaval as an impending recession, increased geopolitical tensions, and market volatility impede performance and growth. Building resilience has become a mission-critical priority for brand manufacturers contending with significant supply chain interruptions, inventory constraints, workforce shortages, and altering consumer behaviors. Despite the bleak picture, nearly 80% of manufacturers have boosted their investment on digital technology in the last two years, and

a similar amount intend to do so in the coming two



A company's ability to adapt to a changing business environment and innovate in order to survive unexpected events is critical to its long-term survival. Those who invest proactively in a digital enablement strategy to extract value from data and boost performance will profit. Industry leaders must encourage innovation in areas that will improve operations, speed production, improve the quality and flexibility of manufacturing processes, and effectively respond to changing consumer demands.Brands aiming to build a resilient industry rely significantly on digital transformation. That is why 95% of industrial organizations believe digital transformation is critical to their future success. It fosters a culture of organizations accomplishing more with less by increasing resource efficiency. In this article, we'll look at what digital transformation means for manufacturers, how technology-based automation may help them enhance their operations, and why data is key.What exactly does digital transformation mean in manufacturing?Historically, manufacturing businesses depended on traditional business models and procedures like benchmarking, total quality management (TQM), and Kaizen. These ideas enabled businesses to make only modest improvements in specified areas. However, they were unable to obtain all necessary information, manage large amounts of data, and efficiently analyze it. A increasing number of firms now demand improved infrastructure to operate at a genuinely smart level, utilizing digital technology to establish or improve company processes, culture, and customer experiences. Any process that can be digitalized, such as moving legacy systems to the cloud, acquiring materials, or utilizing third-party service providers, is examined.

With the advent of Industry 4.0, enterprises are automating manufacturing lines and enhancing efficiency through digitalization and datafication



As industrial organizations ramp up their digital transformation efforts, they must make targeted and cost-effective investments in new tools and technology to generate substantial results. The appropriate technological applications, such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing, and 3D printing, have the ability to assist manufacturers in overcoming significant constraints. To stay competitive, roughly a quarter of top-tier manufacturing companies had used AI-based solutions by 2020, and this figure had risen drastically to 76% by 2021.Why is digital transformation in manufacturing critical to success?Digital transformation in manufacturing provides numerous benefits. However, for most businesses, digital transformation necessitates a move from traditional thinking to a more experimental mindset. Brands such as Reebok are already revolutionizing the business with new sophisticated software and robotics that make shoes using a 3D printing method. Finally, successfully executing a digital transformation strategy in manufacturing requires a combination of the correct technology, a supportive culture, and a data-driven approach. Let's look at the primary benefits that digital transformation can provide:Resilient supply chains.
Supply chain resilience necessitates visibility, and digital technologies are essential for achieving transparency. Implementing IoT tracking systems throughout the supply chain is critical. These devices give real-time information about product or part locations, conditions, and other parameters. Businesses can then run this data through predictive analytics engines, making it much easier to identify and respond to future disruptions, hence reducing shortages and delays.Lower operational costs.Having a system in place that can automatically understand data and simplify it into manageable portions can significantly decrease costs across all departments. Connected machinery provides producers with a variety of benefits, including the ability to diagnose problems before they occur and arrange maintenance during downtime to increase production. Digitizing information-intensive procedures can save expenses by up to 90%, allowing businesses to free up resources and focus on essential business goals.

Personalization and customer-centricity



One of the most difficult difficulties for producers is personalizing products at scale. 40% of customers are willing to spend more than they intended when the shopping experience is highly personalized, but they want the same responsiveness and timeliness from B2B companies as they do when purchasing generic products. To do this, an agile business model and investment in data-driven technologies are required, which will allow customers to select their preferred solutions while also allowing businesses to create and deliver them rapidly while being cost-effective.Higher productivityOne of the most significant advantages of digital transformation in manufacturing is increased productivity. Manufacturers are using hyperautomation to eliminate human errors from their manufacturing processes, while smart machines reduce downtime by optimizing themselves based on past data or alerting them when something needs to be repaired. Hyperautomation entails using artificial intelligence (AI) and machine learning (ML) to supplement human activity.ResiliencyResilience is essential for prospering in adverse circumstances. To be competitive, manufacturers must be able to foresee and adapt to difficulties. Manufacturers benefit from digital technologies because they enable remote operations, flexible automation, and supply chain connectivity via a cloud-based infrastructure. These technologies enable predictive maintenance, process self-optimization, and unprecedented levels of efficiency, adaptability, and reactivity.

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