3 Critical New Year’s Resolutions for Manufacturing

Manufacturers have long embraced the concept of continuous improvement and innovation. In that spirit, what better way to kick off the year than by looking to see what the 2019 has in store.

Over the past few years, it has been impossible to escape headlines about the Industrial Internet of Things (IIoT)/Industry 4.0. New models for technology-enabled manufacturing have already moved into the implementation phase at many of the world’s top manufacturers.

One of the symbols of smart, connected manufacturing is uplifting the role of humans in decision-making processes, and allowing machines to make more decisions in cases where machines are faster and sometimes more capable. Machine decisions are enabled by analyzing data from an ever-increasing array of sensors and production data 

Integrating data and analytics from production equipment with design, engineering and continuous improvement in manufacturing leads to faster optimization of production and new product design. We learn what works, what breaks, what customers love and loathe, and when products need to be repaired or retired. Better feedback loops result in better products and production processes, enabling us to better serve customers.

Image courtesy: Pixabay

Image courtesy: Pixabay

Sounds like the ingredients for some solid New Year’s resolutions:

  1.  Collect data everywhere.
  2.  Learn things from it.
  3. Design better products.
  4. Produce them more intelligently.
  5. Rinse and repeat — and do it even smarter this time.

Here are a few New Year’s Resolutions to consider as you lay out priorities and plans for the year ahead.

Resolution #1: Access & analytics with real time data demonstrates its worth to the enterprise

Data transparency helps manufacturers improve quality and customer satisfaction. Streamlining audit and regulatory burdens, enhancing the accuracy and accessibility of track and trace data, and ensuring quality from raw materials to packaging – all of these critical benefits come from collecting and integrating data in real time, at scale. 

Another aspect is delivery data. Today, when you buy products on Amazon, you go online, order a product and receive an expected delivery date. If there’s any delay, they let you know of the change. They even alert you as soon as the product arrives. Retail shoppers worldwide have grown to love tracking their packages online. Unfortunately, it doesn’t usually work that way in manufacturing. The ability to see where the product is in the line and when it’s going to ship would be huge.

Over the past five years, new IIoT technology and the cloud have led to the development of a modern Manufacturing Execution Systems (MES) that can track and consolidate critical manufacturing data in real time, delivering new levels of visibility across the global supply chain.

With a cloud-based MES platform, data generated throughout the manufacturing and testing process is converted into a virtual representation of the factory and production. This provides supply chain managers and operations executives with access to a digital factory floor via laptop, with a real-time view into status at product, workstation, production floor, plant, regional, and global levels. The system can monitor yield, throughput, work-in-progress (WIP), labor efficiency and productivity against pre-defined targets.  More and more companies have implemented this technology in production over the last few years.

This real-time visibility not only empowers executives with a clear understanding of what’s happening in their factories, it also instills a greater sense of accountability among workers to address developing conditions before they are automatically escalated to factory management.

This technology can also be extended beyond a manufacturer’s own operations to third party suppliers that agree to use it, providing insight into the status of their operations and component availability.

Resolution #2: Regulatory Scrutiny Will Drive Deployment of Technology to Advance Quality in the Factory

Automotive and medical devices have become highly sophisticated in both functionality and manufacturing complexity. They must meet strict compliance requirements, with manufacturers having to track every component, piece of manufacturing equipment, and operator action for every device serial number, throughout the manufacturing process.

Emerging developments in manufacturing systems, machine-to-machine (M2M) communications and the cloud are helping to efficiently “mistake proof” complex production processes, preventing some of the most common causes of manufacturing errors. And, should a manufacturing issue be uncovered later, these new systems can quickly and effectively isolate products that must be recalled.

In an increasing number of factories now, all equipment, materials and operator actions are scanned via bar code systems connected to the cloud MES platform, enforcing compliance at every step. This ensures the highest level of quality and predictability because processes are pre-programmed. Replication in the cloud validates all activity, ensuring compliance. If a product fails an inspection or a test, it is routed out of the main process flow and repaired. It is then reinserted back at the point before the failure occurred to ensure it passes the test it originally failed.

Several companies have now connected some or all their manufacturing equipment to a local or cloud network. This includes bar code scanners and label printers at individual workstations and operator badge scanning. With this connectivity and the right programming, these smart manufacturing systems, and the data running through them, result in a “forced quality framework” that eliminates some of the most common production errors. Resolution #3: M2M, the Cloud, and Industry 4.0 Will Simplify Use of Automated Warehouses for Improved Productivity

Large electronics manufacturers may build thousands of products, such as printed circuit board assemblies, every hour. Keeping surface mount technology (SMT) lines fed with components is critical. Running out of materials triggers immediate downtime, hurting productivity, and resulting in significant financial impact to the manufacturer.

Image courtesy: Pixabay

Image courtesy: Pixabay

Traditionally, technicians would monitor SMT equipment to see when materials are running low. Now, companies are implementing closed loop systems to ensure all required components are delivered to production at the right time — leveraging cloud-based MES solutions, M2M connectivity and Machine-to-Human communication.

In some factories we work with, an SMT machine automatically sends a signal to the MES when a component needs to be replenished; the MES in turn forwards it to the automated warehouse system. The system prioritizes the order, and the operator locates the component in the warehouse and triggers the replenishment procedure in the inventory management system. The component is then placed at a collection station and an autonomous guided vehicle (AGV) collects and transports it to the SMT line where it is needed. When the AGV leaves the stockroom, the technician is alerted via text so that he or she is ready at the SMT line to load the material when it arrives at SMT line. 

This sort of process, relatively simple when the right data connections are in place, minimizes line down situations, and enables “automated backflushing” of components for better materials and inventory management. These capabilities clearly benefit supply chain and inventory management, and can be programmed to fit specific shop floor scenarios.

Apply manufacturing technology the right way in 2019

For many manufacturers, change equals risk. Disruption in their supply chain or factories can cost millions, and also impact a brand or a company’s reputation. Given this, many manufacturers are understandably reluctant to embrace far-reaching changes to their traditional industrial infrastructure and processes. However, manufacturers can start down this path by resetting expectations and asking their personnel to think differently.

With the examples described above, we’ve seen the power of new, but now proven manufacturing systems.  This technology has been implemented by some companies already, and presents an opportunity for others in 2019.

Everyone – including executive teams – must recognize that the path to digital manufacturing is going to be different than previous operational changes.  In the factory of the future, technology, including the right information technology, is as vital as continuous improvement.

3 comments on “3 Critical New Year’s Resolutions for Manufacturing

  1. ChristopherJames
    January 22, 2019

    Although there is probably going to be a huge exodus of human resources out of manufacturing when the idiot gets implemented, I think that there are still opportunities for reassignment of all of these people. At the end of the day, you'll still need someone to oversee the storage rooms and operating floors of the factories right?

  2. MarkSindone
    January 27, 2019

    It is good to get hold of these insights which enable us to ponder on how we are truly entering the new year with our business. Are our operations staying relevant in today's market which are consistent with consumer demand or are we simply providing only up to our own capacity?

  3. James Jenny
    January 31, 2019

    It's a very nice website. And this is one of the articles I was waiting for so long to read. In case you need assignment writing services in Australia or assignment help in Sydney such as change management assignment help, then contact GoAssignmentHelp.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.