Traditional manufacturing methods are struggling to keep pace with the speed, precision, and flexibility that modern markets demand. Smart manufacturing addresses this by connecting machines, data, and people through digital technology, resulting in lower costs, fewer defects, and faster response to demand shifts. This post explains what smart manufacturing is, what’s driving the transformation, and the practical steps manufacturers can take to modernize their operations.
TL;DR
- A smart factory has 5 defining characteristics: connected, optimized, transparent, proactive, and agile. The goal is for all five to work together.
- The Siemens Amberg plant is one of the most cited real-world examples: computers handle 75% of the value chain autonomously with minimal human intervention.
- Amazon acquired a robotics company for $775M in 2012, an early signal of where smart manufacturing investment was heading.
- McKinsey research places manufacturing second only to food services in automation potential, meaning the gap between current and possible output is enormous at most plants.
- The practical starting point is connecting machines, data, and people. Visibility is the foundation that every other smart manufacturing capability builds on.
The starting point: automation and artificial intelligence
Smart manufacturing starts with automation: turning manual functions into automated tasks.
Automation has been around for a while as manufacturers worked hard to control costs, drive efficiencies and ensure accuracies. Take a tour of any modern manufacturing plant and you’ll undoubtedly see robots doing many of the tasks where assembly line workers once stood.
AI takes automation to the next level by connecting operations and integrating data from across the entire value chain. It uses a constant stream of data from system-wide physical, operational and human assets to learn and adapt to new demands. AI could make it possible for manufacturing machines to understand far more complex processes than those they currently execute.
At the Siemens electronics manufacturing plant in Amberg, Germany, computers autonomously handle as much as 75 percent of the value chain. The parts and machines communicate through a product code which specifies the production requirements.
Meanwhile, retail giant Amazon paid $775 million in 2012 to acquire a leading robotics company. The company is now building computer-driven machine-learning systems to drive efficiencies in its distribution centers.
The growth potential in this area is significant. McKinsey research found that manufacturing is second only to the food services industry for its automation potential. Allied Market Research reports that the global market for industrial robots will reach $41 billion by 2020.
Broader and deeper: strengthening visibility across the value chain
Smart manufacturing significantly improves a company’s visibility into its process, network and value chain. It creates an environment where all available information — from the plant floor through the full supply chain — is captured in real time and made actionable through detailed insights.
In a unique example of the Internet of Things (IoT), manufacturers can give each of their physical assets a digital identity. This enables them to know the exact location and condition of assets in real time throughout the production process.
A 2015 report published in Industry Week said: “Batch-level visibility is being replaced by unit-level visibility.” The IoT takes management vision beyond high-level production metrics. Instead, C-suite executives and plant managers can now drill down to the individual units to assess accuracy, precision, and customization.
Greater analytics: leveraging big data for strategic insights
This broader and deeper visibility, along with specific connections from the entire value chain, provides a comprehensive dataset for analyzing performance.
It’s the next step in the big data revolution that is affecting every industry. It is predicted that by 2020, there will be 50 times more digital content than what exists today.
By combining the value chain data with data from other sources — such as databases, social media, websites, digital communications, accounting software, and CRM software — manufacturing companies can use more sophisticated analytics to drive their competitive strategies.
Greater alignment with customers
The smart manufacturing transformation uses advanced technology to meet objectives that stem from a customer-centered model. Companies must respond to increasing customer demand for speed, precision, and a positive customer experience.
There are plenty of ways in which a manufacturer can leverage technology to benefit their customers. Just consider these possibilities:
- Sales reps at customer sites can use their tablets to check customers’ orders or anticipate re-orders
- Plant managers can view real-time production data from their offices and ensure that production is on track
- Executives can accurately predict future demand, allowing them to order supplies and hire staff accordingly
The digitized manufacturing environment closely aligns with the customer desire for fast, responsive, personalized service.
Embracing the smart manufacturing transformation with CRM software
A great customer relationship management (CRM) solution should be part of every manufacturer’s digital toolkit.
A CRM acts as a centralized resource for customer data, allowing your team to provide excellent service to every customer. Meanwhile, the best manufacturing CRMs will also offer the ability to automate key tasks and integrate with key tools. This creates a streamlined work experience for your entire team, from the C-suite to the plant floor.
To boost efficiency and automate your workflows, consider integrating with Method CRM. See how Method helped a shipping container company’s revenue double in just three years below.
With the right tools on hand, manufacturing businesses will be ready to embrace the smart transformation of the 21st century.
Ready to get started with workflow automation? Try Method free.
Image credit: Pavel Danilyuk via Pexels
