September 25, 2016 / benchmarking, best practices, continuous improvement, Cost Management, LIT, operations metrics, predictive management, preventative maintenance, strategic planning
With changing customer requirements and an increasingly competitive marketplace, leading manufacturers are finding it pays to be proactive—not reactive—in their strategic approaches. Instead of simply measuring performance, many companies are taking the next step and using measurement to anticipate and prevent future challenges—a concept known as predictive operations management.
This trend has found its way into industrial metal cutting. According to the LENOX Institute of Technology’s benchmark study of more than 100 forges and other industrial metal-cutting organizations, companies can gain additional productivity and efficiency on the shop floor by “investing in smarter, more predictive and more agile operations management approaches.”
One such approach is predictive maintenance. Not to be confused with preventative maintenance, which uses planned maintenance activities to prevent possible failures, predictive maintenance (also known as condition-based maintenance) uses data-driven analytics to optimize capital equipment upkeep.
Reliable Plant defines predictive maintenance as “the application of condition-based monitoring technologies, statistical process control, or equipment performance for the purpose of early detection and elimination of equipment defects that could lead to unplanned downtime or unnecessary expenditures.” By using tools to predict and then correct possible failures, operators can keep machines running while eliminating unnecessary preventative maintenance downtime and reducing reactive maintenance downtime.
In fact, predictive maintenance was identified in a McKinsey Global Institute report as one of the most valuable applications of the Internet of Things (IoT) on the factory floor. The report, The Internet of Things: Mapping the Value Beyond the Hype, says that predictive maintenance using IoT has the potential to reduce equipment downtime by up to 50 percent and reduce equipment capital investment by 3 to 5 percent by extending the useful life of machinery. “In manufacturing, these savings have a potential economic impact of nearly $630 billion per year in 2025,” the report states.
According to an article from Manufacturing Business Technology, the potential benefits of predictive maintenance analytics go beyond predicting machine failure. The magazine lists several wide-ranging implications the technology has for the manufacturing industry, including the following:
- Part harmonization. Predictive models are able to show which parts will be the first in line to fail, what will need replacing in the next six months, for example. This then allows teams to better manage inventories, stockpile the right parts, and even bulk order replacements before they are needed.
- Cost-benefit analyses. Teams are better equipped to do cost benefit analyses and further understand the risks of not performing maintenance at any given time. Presenting this data to the C-suite, and outlining future risk weighed against a smaller outlay at the present time, is a far more compelling argument than suggesting a piston might eventually need replacing.
- Warranty Claims. Defining the optimal cost and duration for any given warranty is a great challenge for many manufacturers. Analytics can help better define these boundaries by modeling usage patterns.
Of course, all of these benefits come with a cost. One of the major drawbacks of predictive maintenance analytics is that it requires a high upfront investment for condition monitoring equipment and software, as well as a high skill level and experience to accurately interpret condition-monitoring data. There are also privacy and security issues that need to be addressed. For smaller forges, this could be a huge stumbling block, although some may discover that the long-term benefits outweigh the short-term costs.
In the end, predictive maintenance may not be an option for every shop or every piece of equipment, but in today’s competitive market, it might be worth the research. Many companies are finding that the potential benefits of the technology are opening up new opportunities for improvement and growth that were once not possible.