Digital solutions are transforming how humans interact with machines, ushering in a new era of manufacturing automation in business. Manufacturers are turning to digital technologies for insights to make their operations safer, more efficient, and productive. The power of data is reshaping manufacturing in businesses. Business transformation is crucial for ensuring that the best systems and processes are being implemented to enhance efficiency and effectiveness while satisfying the stakeholders. This undertaking entails streamlining systems and processes to keep up with the changing market dynamics, covering three major areas of change:
- Operational Process: Operational business transformation is the process of improving and speeding up what you are already doing. This will necessitate several companies to implement digital solutions as they enable new methods to solve old problems. Although operational change can significantly enhance productivity and customer satisfaction, it is insufficient by itself to keep your company ahead of the competition.
- Operation Model: Real business transformation occurs when your fundamental business model alters. When it comes to operational model business transformation, it’s not just about refining your procedures; it’s about entirely transforming how you do things.
- Business Model: Strategic business transformation differs from an operational model business transformation in this it involves shifting the service you deliver. Innovative strategic thinking for manufacturing in business can revive growth if done correctly.
What role do innovative technologies play in company transformation?
The digital transformation of manufacturing revolves around connecting and gaining access to imperative data. Merging cutting-edge technologies with the traditional processes helps manufacturers to learn from new data and make more informed decisions, resulting in increased efficiency and effectiveness. One of the ways that digital technologies can boost the efficiency and lifecycles of equipment in production is through predictive maintenance. Predictive maintenance uses data collected by connected machines to prevent malfunctions in the future. It is feasible to predict when machines will break down or function at sub-optimal levels in the future by having access to large amounts of data produced by a connected factory. This reduces the likelihood of a costly outage. The manufacturing plant workers can schedule maintenance procedures at a convenient time. Also, the data collected through connected devices helps in future product development, allowing the creation of manufacturing designs that are cheaper, faster, and more efficient in the future.
Augmented Reality and Virtual Reality are two technologies that are revolutionizing the way we interact with technology. AR is the superimposition of digital information on the visual world, paving the way for a groundbreaking onboarding process for new employees. Instead of relying on PowerPoint presentations and clunky textbooks, new employees can get hands-on experience with AR headsets. Visualize 3D versions of the assets you process and get real-time updates on key performance indicators for all assets on the plant’s assembly line. For manufacturers, these innovative technologies are big game-changers.
