Teaming Man & Machine for a more resilient supply chain
Let’s talk about light-duty, semi-skilled labor for a minute. Today these jobs are mission critical for supply chains to function. Fully-burdened at $40K a year, the employee works 7.5 hours a day. The employer has significant onboarding costs. Productivity fluctuates throughout the day. When hiring, the candidate has to pass a drug test, speak English, be able to read, and pass a background check.
There are plenty of dedicated hard workers, but any employer tasked with filling these positions, knows the truth. Finding quality is tough, there are thousands of unfilled supply jobs, even in today’s pandemic world with masses looking for work. Make no mistake, ambitious and talented people taking a light-duty semi-skilled job are doing so while looking for other work. The workforce revolving door keeps spinning, and employers are faced with rising costs to maintain productivity while promoting stability in the employee ranks.
We all know the painful stories of employers struggling to fill, then train, then retain an employee. One employer I know had to seriously weigh if the murder conviction was premeditated, or accidental in order to make their hiring decision!
There is a solution. It involves enabling current employees to be more efficient by expanding automation in ways not possible until now. Today robots that sense their environment with an AI “brain” to extract inference from their perception are capable of duplicating the real-time flexible decision making of semi-skilled labor. They do so retaining the prized qualities that put labor on the supply chain in the first place, but with none of the disappointing troubles. We call it, robot loyalty – the ultimate company man/woman.
Couple this “smart” robot with a human supervisor, and you now have one person doing work that before required many.
Let me make a comment about the idea that robots are taking jobs. The fact is, yes labor will be offset by increasing automation. But the reason my post started with the lousy state of these jobs, is because they are undesirable. By turning them over to the robot, the employee who remains now has an interesting job, and together they drive lower costs and increased efficiency. The skills they need to manage the machine will lead to a pay raise because the employer want to retain their advanced skills.
So what happens to the offset labor? Here’s the truth: We have an opportunity in this country to finally begin bringing manufacturing back to the United States, closer to the consumer. The economics that drove it overseas, have run headlong into the fragility of the long supply chain. If we actually made most of what we need right here at home, our ability to support our customers would have made our current circumstance more timely and manageable. Apple’s chain was broken within days of the outbreak. Imagine if they made their phones here. I, for one, would love to buy a television stamped “Made in America”. We invented the technology and not a single TV is made here anymore. It’s time to change that. And robots are the way.
At Universal we’ve been selling the “brains” for robots (or any actuated machine) for over ten years. Our product is used to simulate the semi-skilled work by giving the robot the ability to handle high variability at high speed. And I can tell you with absolute certainty, that making America great again, means we need to shorten our supply chains, and bring the production home. And the way we do it is by driving worker efficiency through the roof.
Okay, so with all the uncertainty in the market, outlaying capital for equipment right now is simply not possible. I understand that. But, I can tell you Amazon is gaining market share because they have been building a harden supply chain for years ,that is now showing its strength. Waiting will erode your market share even more. We can help you, and here’s how.
Rather than fund the purchase as a capital expense, with significant cash outlays before realizing the value, Universal offers off-book leasing. This technique allows you to order the solution and not pay a dime before implementation. Then you pay monthly, as an operating expense, out of the labor savings. You are saving money the day the system goes live, hardening your supply chain, and driving up worker efficiency.
Call or email us to discuss your automation/labor saving needs. Together, we will win the day!Read More >>
Research and Markets projects that the global warehouse and logistics robot market revenue will grow from $1.9B in 2016 to $22.4B in 2021, and units from 40,000 to 620,000. Research Analyst Manoj Sahi states, “new robotics technologies that could yield a return on investment (ROI) in less time than it took a few years ago.” Two key areas the report points out are the growth of mobile robot platforms and industrial robot manipulators.Read More >>
A Neocortex® G2R (Goods to Robot) Cell is easy to deploy, like a collaborative robot. Yet it is uses an industrial Yaskawa Motoman robot with up to twice the capacity and 150% the speed of a collaborative robot (up to 800 items per hour).
How easy to deploy is the Neocortex G2R Cell? The average time for a Cell to be up and running at a customer site is one day. See our fun time-lapse video here. After it is up and running, our team then optimizes the robot and trains your operators. This contrasts with integrating an industrial robot system that may take weeks before being ready to run. The Cell’s deployment efficiency is comparable a collaborative robot’s average setup time, which is about half a day.Read More >>
Frank Tobe’s article in Robohub regarding what’s hot in robotics reads like a who’s who of companies providing state-of-the-art applications in robotics. He breaks down the trends into four buckets, one of which I’d like to address – Advances in Visual Perception.
Here’s what he says:
“Vision-enhanced robotic systems are becoming the top reason for upgrading and deploying vision-enabled robots and a core reason for the steady upward growth of the robotics industry…. Artificial intelligence and various AI learning systems have been improving regarding visual perception, and many new companies (such as Universal Robotics and their Neocortex system) are now either offering vision systems that can supplement existing fixed systems or offering mobile manipulators that can find and determine how best to pick and handle all sorts of objects from plastic-wrapped toys to boxes, cases and skids of materials.”
Frank’s points are correct. Let’s unpack the reasons for this burgeoning market opportunity.Read More >>
In a recent article, Boston Consulting Group (BCG) points out that spending on robots worldwide is expected to grow from $15 billion in 2010 to $67 billion in 2025. The $52 billion increase in 15 years is a compounded annual growth rate of 10%. They attribute this growth to a convergence of falling hardware prices, performance improvements, and easier application software combined with increased flexibility and finesse. This results in robots being useful in a much broader set of applications than you might traditionally think of – such as automotive assembly and welding.Read More >>
Clint Reiser points out in the linked article that a new revolution in supply chain analytics is occurring. There is new level of data detail, it’s coming at us faster, providing bigger patterns and better insights.
The detail isn’t just point-of-sale information, customer buying patterns, or fleet telematics. From Universal’s perspective, the combining of machine learning and machine vision into robust automated solutions for material handling processes previously thought as random is a unique source of this data.Read More >>
As noted by ImpactLab.net, Pew Research questioned 1,896 experts about whether artificial intelligence (AI) applications and robots will have displaced more jobs than they have created by 2025. Fifty-two percent think more jobs will be created, 48% think more jobs will be displaced. So, its up for grabs as to who is right.
Note that if history repeats itself, technology has always been a job creator – not a job destroyer. However, the type of jobs, the skills required, and even entire industries will certainly go through massive change as part of the transition. As Vint Cerf, vice president for Google stated, “Historically, technology has created more jobs than it destroys and there is no reason to think otherwise in this case. Someone has to make and service all these advanced devices.”Read More >>
Note from Bob Ferrari’s Post on Aug 7, 2014 entitled Permanent Shifts in Consumer Shopping Trends Have Supply Chain Implications. He comments on a quote in the article: Online Customer Fulfillment, Retail Supply Chain, Supply Chain Business Process that cites the following from Shopper-Trak: “Online sales have grown more than 15% every quarter for the past two years and are having a big impact on the way many companies are looking at their brick-and-mortar stores…. Rather than networks of distribution centers and fleets supporting individual physical stores, the new emphasis will be on high-volume online fulfillment supported by combinations of fulfillment centers and multi-purpose retail outlets.”Read More >>
Check out this interesting article on advances in deep learning for robots: Robots Helped Inspire Deep Learning and Might Become Its Killer App?
It’s worth comparing/contrasting between deep learning techniques and Neocortex. Neocortex is Universal Robotics’ patented machine learning platform, based on a seven-year development effort between NASA and Vanderbilt University. Even though the technology is currently employed on Robonaut 2 on the International Space Station, Universal’s focus with Neocortex is material handling tasks. By learning to recognize new objects or recognize previously seen objects that have changed, Neocortex machine intelligence brings flexibility to material handling automation.Read More >>