Digital transformation is a strategic initiative to modernize operations and business models, facilitated by digital technologies. It aims to create value for customers, build a highly engaged workforce, and close the gap between digital and physical worlds. For industrial enterprises, this has become an urgent imperative due to cost pressures and disruption threats. While many have already begun their journey, success is not guaranteed without defining a compelling business case and fostering a strong digital culture. °®¶¹´«Ã½app is helping companies achieve these objectives with purpose-built solutions and powerful services that lead to improved bottom lines, more revenue growth, and better customer experiences.
Digital transformation is a strategic initiative to modernize processes, streamline more efficient ways of working, and create new opportunities to provide value to customers facilitated by digital technologies
Digital transformation use cases
The engineering digital thread
Products are becoming more complex, necessitating the need for a unified product development process that links physical and digital components. The goal is to establish a platform which provides a connection for different kinds of information, such as requirements, variants, familes, design, parts, and process plans. Configuration management allows the engineering digital thread to interface with other relevant departments, while a dynamic bill of materials keeps track of all elements within the system hierarchy. Traceability is ensured down to individual sub-components.
A customer-centric approach to mass customization, the increased complexity of products and changing regulatory demands are pushing traditional product development processes to their limits. Any alterations to a feature or design within a certain system can cause repercussions downstream. Change management provides a method for overseeing data related to engineering properly, assigning tasks to relevant parties quickly and accurately. These strategies ultimately leads to fewer reworks, better output yield, faster time-to-market and accelerated industrialization.
Tracking a product
The current chip shortage and other market disruptions have highlighted the need to better connect suppliers and their customers in the supply chain. Close collaboration during product development ensures that specifications are followed and any updates are quickly communicated. A comprehensive and well-mapped bill of materials with live updates between product lines, factories, suppliers, and all requirements not only enhances efficiency but also meets regulatory or sustainability standards. Moreover, tracking a product’s traceability throughout its lifespan serves as an added layer of assurance.
Maximize product’s efficiency
Designing products is usually a manufacturer’s most valuable asset. Design performance can be improved by reusing product versions, collaborating seamlessly between internal and external teams, automating processes to speed them up, and leveraging advanced technologies such as simulation or generative design to maximize the product’s efficiency.
Digital Transformation trends
Digital transformation has gone into overdrive in recent years, with enterprise organizations embracing new technologies to become quicker and more efficient. The industrial space has seen a total shift of product life cycles through engineering, manufacturing, and customer service becoming key differentiators. To stay ahead of the game, now is the time for industrial companies to get their digital transformation efforts up and running. Business leaders are showing an increased commitment to digitalization. Despite rising investment, many digital transformation programs lack direction and fail to deliver value. Thatâ€™s where targeted projects come in; successful digital transformations link solutions with business goals that bring tangible financial or operational gains.
Digital experiences are empowering frontline workers like never before. In addition to drawing in job seekers, technologies such as augmented reality are also boosting productivity, collaboration, and job satisfaction across businesses. Generative AI is transforming product development too; these machine learning algorithms take existing content or objects and create unique artifacts for businesses seeking to improve quality. Supporting all these advancements is an increasingly complex IT infrastructure that combines both cloud-based and on-premise solutions into tailored packages.
Topics you might hear, if someone talks about digital transformation
- Automation enables manufacturers to streamline processes and increase efficiency. This includes technologies like robotic process automation, machine learning, and artificial intelligence.
- Smart factories incorporate sophisticated sensors and connected machines with advanced analytics and Artificial Intelligence (AI) to improve the flow of production, optimize resources, and reduce waste.
- Digital twin is a model of the physical world that allows manufacturers to virtually replicate their systems and operations, giving them greater insight into process optimization or potential risks.
- Internet of Things (IoT) solutions allow manufacturers to collect data from their products for monitoring, analysis and control in real time. The data collected can be used for process optimization and predictive maintenance.
- AR enables users to interact with 3D images, video clips, or other virtual content in a more intuitive way than traditional user interfaces allow for increased accuracy and speed of production tasks.
- Cloud-based solutions provide more flexibility and scalability than on-premise options, allowing manufacturers to quickly adopt new technologies such as machine learning algorithms without having to invest in expensive hardware infrastructure upgrades.
- Edge computing is a distributed architecture where applications are processed on device instead at centralized cloud locations or data centers â€” this provides faster response times as well as improved security over traditional architectures due to minimized latency and data residency requirements.
- Cybersecurity: With increased digitization comes vulnerable attack surfaces cybercriminals can exploit â€” companies must ensure they have robust security measures in place including layered access controls, encrypted data protection policies, and automated threat detection solutions.
- Big Data & Analytics: Through harnessing large datasets from both the physical factories as well as the digital side of operations via IoT sensors or cloud computing platforms, businesses can analyze this information through advanced analytics tools such as predictive analytics for deeper insights into production performance.
Digital transformation (DX) has become a top priority for global manufacturers, with 92% already in the process. McKinsey estimates that DX can generate multi-trillion dollar optimization opportunities for companies across their operations, workers, products and industrial environments. However, determining which transformations to undertake and in what order can be difficult, as it requires balancing risk and profitability. The overly ambitious approach of tackling multiple challenges simultaneously can lead to three out of four digital pilots failing to scale, putting the digital program’s funding and longevity at stake. To ensure success, manufacturers must better align DX with business value by identifying the most pressing problems and carefully measuring the value obtainable from resolving them.