Robotiq CEO Samuel Bouchard sat down with Josh Davis, senior channel gross sales supervisor, to debate a number one meat producer’s automation journey.
Background
This Robotiq buyer is a big meat processing facility that provides a few of the largest quick meals chains in the US and globally. They’ve constructed their status as leaders in automation, constantly innovating to remain forward of their trade. With a manufacturing setup already leveraging know-how, they confronted challenges of their end-of-line palletizing operations. The corporate operates 11 manufacturing strains with plans to scale as much as 50 extra, signaling vital development potential.
Enterprise Challenges
The important thing driver for automation was the rising demand from their high-profile quick meals shoppers. The growing manufacturing quantity required a dependable resolution to remove bottlenecks of their palletizing course of. Relying solely on human labor was now not a possible possibility given the rising throughput calls for. Moreover, sustaining profitability with tight margins from massive shoppers necessitated operational effectivity.
Particular challenges included:
- Assembly the manufacturing forecasts for the subsequent three to 5 years.
- Attaining a fast ROI by decreasing labor prices and growing manufacturing effectivity.
- Overcoming stress to stay aggressive whereas managing prices.
By addressing these challenges, the corporate aimed to make sure they may proceed to scale whereas sustaining the excessive requirements anticipated by their clients.
Why Was Robotiq’s Palletizing Resolution a Good Match?
Our palletizing resolution supplied the pliability and scalability the shopper wanted. Key components that made it the perfect selection included:
- Flexibility: The system might simply adapt to altering manufacturing wants, together with SKU and field measurement changes. This functionality was important for a dynamic manufacturing setting with a number of strains.
- Compact Design: The space-efficient system match seamlessly into their current setup with out requiring vital modifications.
- Ease of Use: The answer featured intuitive programming, making it easy for the shopper’s staff to function and keep.
- Efficiency: Throughout side-by-side testing, the answer outperformed opponents by a formidable margin, processing 10 extra containers per minute. This superior efficiency was a decisive issue.
- Native Help: Distinctive native assist ensured the shopper had entry to skilled steering and troubleshooting every time wanted, additional cementing their determination.
- Confirmed Observe Report: The answer had been tried and examined in related functions, offering confidence in its reliability and ROI potential.
Suggestions for Automating Finish-of-Line Palletizing
- Begin Early: Delaying automation places you at a drawback in a aggressive market. Corporations that adopted automation years in the past are actually scaling efficiently with 10 to twenty items. Should you haven’t automated but, now could be the time.
- Give attention to Confirmed Options: Go for commonplace, non-customized options with a brief lead time and fast payback interval. Confirmed merchandise are much less dangerous and ship constant outcomes.
- Prioritize Flexibility: Select a system that adapts to altering manufacturing wants, whether or not it’s new SKUs, field sizes, or line configurations.
- Leverage Native Help: Work with companions who can present not simply the very best product but additionally sturdy native assist to maximise system uptime and effectivity.
- Break the Money Constraint Cycle: Whereas investing in automation requires upfront capital, the ROI is commonly realized in a 12 months or much less, particularly with a number of shifts. Investing now will lower your expenses and enhance profitability in the long term.
Automation isn’t only a pattern; it’s a necessity for corporations aiming to remain aggressive. The sooner you make investments, the earlier you possibly can reap the advantages of improved effectivity, lowered prices, and elevated manufacturing capability.
