Not long ago we came across a very experienced scientist tasked with fixing an underperforming confectionary line. He was planning an in-depth theoretical study to find a way to solve the problem. That study would take longer than a year to complete. Instead within weeks we got the information we needed. We used a range of simple off-the-shelf sensors which helped us identify and fix the problem quickly. The sweets were soon flying even faster off the metal cap can making machinery production line.

This is a great example of where companies can go wrong when they want to improve performance. But perhaps a bigger mistake is to decide things can’t get any better. When you think you’ve squeezed everything you can out of your manufacturing plant, I bet you can get more.

Even after you’ve used traditional tools like lean manufacturing and Six Sigma, there could be untapped opportunities for improving productivity. Those opportunities could deliver tangible benefits within a short time and for a low capital investment. The current wave of consolidation in the consumer goods sector means those opportunities should be in high demand – to ease post-merger integration or ward off a takeover.

What’s stopping you?

These are the main stumbling blocks:

Reliance on OEMs – Equipment manufacturers’ service support teams are geared towards modifications, maintenance or breakdown recovery, not optimising performance. What’s more OEMs develop machines for a broad range of companies or applications. That means they won’t operate at their best for your specific process or product.
Stretched resources – Sometimes staffing strategies and re-organisations leave companies with teams without technical know-how. That limits the level and speed of improvements, resulting in over reliance on external knowledge and resources to solve problems. Internal resources have limited time to deeply understand a root cause and find answers. This results in short term ‘patches’ not long term solutions. Limited funds for making these fixes – despite a strong business case – often compounds the problem.
Thinking in silos – Technical experts in research and development often don’t communicate effectively with operations. Those experts might be located off-site and struggle to understand the day-to-day manufacturing challenges.
Low aspirations – Downgrading productivity targets to reflect historical underperformance can suppress any ambition to improve.
High margins – These bring complacency and allow companies to live with low productivity.

If you want to purchase can making machine, welcome to send us messages!