The adoption of digital and advanced technologies is crucial for manufacturers to remain competitive. Adopting a “smart” approach that connects industrial devices and leverages data for insights can improve responsiveness and provide a competitive advantage.
To become a Smart Manufacturer, companies must embrace advanced technology and update their production processes for better efficiency, cost reduction, and enhanced quality. A few recommended steps to achieve this include
- Define the Objectives: The company should define its goals and objectives for adopting smart manufacturing strategies.
- Evaluate the Current Technologies: The company should understand which technologies are already in place and evaluate where they can improve. They should assess how sensors, connectivity, and data analytics can be applied to its existing infrastructure.
- Adopt Advanced Technologies: The company needs to embrace advanced technologies such as artificial intelligence, machine learning, the Industrial Internet of Things (IIoT), automation, cloud computing, and robotics.
Different technologies can be used in different processes of a smart factory. in the table below, you can see processes and the technologies that you can use for each process:
| Process | Technology |
| Production operations | Autonomous robots
Additive manufacturing Digital twin Simulation Sensors |
| Warehouse operations | Autonomous robots
Sensors Augmented reality Simulation |
| Inventory tracking | Sensors
Data analytics |
| Maintenance | Sensors
Data analytics (AI and ML) Augmented reality |
| Quality control | Sensors
Data Analytics |
| Safety | Sensors
Cobots |
- Train Employees: The company should invest in training, upskilling, and reskilling employees to utilize advanced technologies, operate smart machines and analyze data.
- Implement Security Measures: the company needs to invest in cybersecurity measures. The company has to ensure that its investment is adequate to protect data, machines, and applications from cyber risks.
- Use Data Analytics: Companies should analyze data to improve production and decision-making processes. Instead of just reading data and reacting to whatever you find, you can get ahead of a “situation” by predictive data analytics.
Data analytics can further improve, streamline, and automate the decisions that need to be made. With enough historical data, you can build and implement prescriptive analytics that go a step beyond predictive algorithms. Prescriptive algorithms can help you optimize manufacturing resources by outlining “what-if scenarios”, and offering recommendations for managing equipment and processes.
- Partner with Technology Experts: Companies can partner with technology experts to help identify the optimal technologies for their operations, support implementation, and overcome any challenges encountered.
To survive in the market, companies have no choice but to embrace digitalization. Companies should focus on setting up a culture of innovation, gathering support from the workforce, and aligning the company’s technology use with manufacturing needs. It’s a collaborative process and takes dedication at all levels.