Another significant technological advancement occurred in 61’ that has revolutionized manufacturing. This was the year General Motors brought the first Unimate robot, invented by George Devol, into an assembly line at its New Jersey facility.
These early robots were crude by today’s standards, with minimal safety features, lacking sensors to detect people or objects. Their purpose was to eliminate dangerous work by reducing repetitive manual heavy work tasks, not only in the automotive industry but throughout all manufacturing industries.
Fast forward almost 60 years – robots have evolved tremendously and can be found in virtually every industrialized manufacturing operation. Their top use remains eliminating heavy material movements, but they are far nimbler and more intelligent, able to perform complex machining, high speed assembly and inspection tasks. Robots are also able to perform in inhospitable environments – hot, cold, and toxic conditions.
Robots are the path to re-building manufacturing in the US.
Robots are now quickly revolutionizing distribution and supply chain operations. Businesses are seeing the great impact warehouse robotics can have on improved productivity, accuracy and employee satisfaction by eliminating wasted time performing manual material movement in warehouse operations.
Advancements in software and technology are enabling more sophisticated, yet cost-effective next generation robots to emerge. These robots handle a wider range of load capacity and perform multiple work tasks independently or in cooperation with a supervisory automation system to coordinate with employees to boost productivity in receiving, replenishment, and order picking applications.
Artificial Intelligence (AI) – AI has been around since the early 80‘s – computer programs modeling human intelligence used AI to enable adaptive learning and make better decisions.
AI, combined with LIDAR, 2-D barcode and camera sensors integrated with low cost embedded computers and AI software allow the newest robots, Autonomous Mobile Robots, (AMR’s) and the latest generation Automated Guided Vehicles, (AGVs) to continually adapt and navigate safely around obstacles and to work cooperatively with people within warehouse operations.
Automated Guided Vehicle (AGV) – Transport robots that can use a basic guidance system such as following either a magnetic wire located on the surface or buried in the floor. The AGV can trace its history to the 1950s, developed first by Barrett Electronics of Northbrook, Illinois. At the time, it was simply a tow truck that followed a wire in the floor.
Wire guidance is still very useful for many basic applications, including point to point, and narrow aisle pallet and tote storage and retrieval applications.
More sophisticated guidance systems are lasers and Lidar, which uses light in the form of a pulsed laser to measure distance. Also, today’s more sophisticated applications typically use vision based cameras, magnets, or lasers for navigation.
Automated guided vehicles or (AGV) are focused on automating material movement. Applications include pallet movement from receiving to put away and full pallet picking applications.
However, a myriad of new, smaller, lower cost auto-guided carts are emerging for use in E-Com and B2B order fulfillment applications. These smaller auto-guided carts are designed to automate order movement in picking and packing and to replace order transport duties which are currently the domain of fork trucks and conveyor systems.
These more sophisticated AGVs use a combination of Lidar and camera based vision technology to detect, maneuver and map beams, walls and permanent objects throughout the facility. The AGV’s sensors combined with AI software create maps of the DC travel paths, so the vehicles can continue to learn warehouse paths for performing the movement of pallets and materials, including rolls, and other unit load movements throughout a manufacturing operation and between adjoining manufacturing and warehouse facilities. AGVs can be extremely useful for tasks such as moving inventory in the warehouse and freeing up employees to handle other work. Pallet and unit load AGVs are most cost-effective when deployed round the clock, in 6-7 days a week operations, eliminating fork trucks and associated labor costs.
Autonomous Mobile Robot (AMR) – These robots appeared on the scene in the last decade and are the latest generation of vehicles, evolving rapidly due to the use of the latest onboard intelligence, vision and LIDAR sensor technologies. They have the capability to sense and learn the warehouse environment, detect objects and safely cooperate with people.
They are designed to integrate with WMS and WES-WCS systems to obtain supervisory commands and self-navigate throughout the warehouse, executing work instructions. The WES-WCS manages and directs the order fulfillment pick, pack, and ship processes and the AMRs and workers’ work tasks. Order picking, packing and transportation of orders operated are combined in a coordinated single integrated operation.
An excellent application for AMRs is in E-Com or B2C order fulfillment picking applications requiring intelligent order zone routing. The AMRs are ideally suited to the task of automating the transportation and movement of batch picking carts throughout the pick, pack, and ship processes.
In this application, the WES-WCS receives order information from the ERP or WMS, creates and releases optimized batches of orders, and calculates the cart capacity and order carton sizes using cartonization rules based on SKU cube and weight.
Orders are then prioritized and a group of orders are assigned to the pick cart. AMR’s have the ability to move loads of 700 LBS and can easily handle large batches of 20 to 25 orders, with a mix of pick to carton, totes, and full case picks on the same cart.
The WES directed solution combines the advantages of AMRs and voice-directed batch picking with the WES directing the AMRs to automatically pick-up the batch pick cart and transport the cart throughout the required picking zones.
The AMRs are doing the heavy lifting and automating the cart movement throughout the order pick zones and dropping off the pick completed orders at a series of packing stations along an automated pack and ship conveyor system.
Both the operator’s movement, picking instructions, and the AMR’s travel route to the required pick zones and storage location are managed by a single WES software application.
The results – the operators spend more time picking instead of time wasted walking, and fatigue is eliminated while safety is increased due to the elimination of pushing around a 500 lb pick cart.
AMR picking is a hybrid goods-to-person process. It brings the prioritized work to the person, executes a more efficient order picking process and order transport to packing without human guidance. They can also be used to move products from receiving to order put-away zones and can be configured to include powered conveyor on the top platform for pallets, cases, and tote transport or pick up AMRs with new or existing conveyor systems.
Collaborative Robot (Cobot) – Cobots are designed to work safely alongside employees. AMRs and Cobots are many times referred to by the same name. They emerged in 1996 from Northwestern University, developed due to employee safety concerns in manufacturing assembly, tool changing, and machine tending applications.
Like the AGV, Cobots have rapidly evolved with greater dexterity. They can sense and react to unexpected objects or movements. Some models can move up and down, pull and load heavy products onto their base transport carts and move without operator assistance, reducing the number of employees needed for picking.
They are still limited to specific SKU sizes or full case or tote picking applications. However, the combining of Cobots with AGV’s is essentially the definition of today’s Automated Storage and Retrieval System (AS/RS).
This technology is well established and continues to advance. It’s use is growing throughout the world. The same growth can be expected in Cobots, combined with AMRs, they will evolve and will be coming to a warehouse in your neighborhood soon!
The WES-WCS can play a critical role in managing AGV’s and AMR’s in warehouse and distribution center order fulfillment operations. It receives order details from the ERP or WMS, performs order release management and executes the duties of calculating the total cube and weight of orders, identifies and directs vehicles to order picking locations, and establishes the most efficient movements of workers to the workflow, by directing product picking and validation and optimizing the order flow across the pick, pack, and ship processes.
Numina Group’s Real-time Distribution Software (RDS™) Warehouse Execution and Control Software (WES-WCS) platform optimizes, manages, and tracks AGV and AMR activities. RDS’s software modules extends their capabilities, using its voice picking application so both the workers and the autonomous vehicles’ movement is coordinated throughout the pick, pack, and ship processes.
RDS includes order release and prioritization, cartonization, pick to carton, put to light order consolidation, and labor and order tracking performance metrics reporting. As an industry top tier integrator, Numina Group works with clients on defining improved automated warehouse operations.
Based on leaner, low-touch processes, we then select the right-cutting edge warehouse automation technologies managed and controlled by RDS™, our highly flexible and scalable WCS-WES platform.
The result – clients gain a warehouse order fulfillment operation enhanced by automation technologies that optimizes distribution practices and dramatically lowers operating labor costs to gain improved profitability. To find out which robots are the right fit for your facility contact us today.
The Numina Group
10331 Werch Drive
Woodridge, IL 60517
630-343-2600
How the Right Warehouse Automation Decisions Can Solve Your Labor Woes As the economy roars
Cookie | Duration | Description |
---|---|---|
__cf_bm | 1 hour | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
__hssc | 1 hour | HubSpot sets this cookie to keep track of sessions and to determine if HubSpot should increment the session number and timestamps in the __hstc cookie. |
__hssrc | session | This cookie is set by Hubspot whenever it changes the session cookie. The __hssrc cookie set to 1 indicates that the user has restarted the browser, and if the cookie does not exist, it is assumed to be a new session. |
_GRECAPTCHA | 6 months | Google Recaptcha service sets this cookie to identify bots to protect the website against malicious spam attacks. |
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Advertisement" category. |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | CookieYes sets this cookie to record the default button state of the corresponding category and the status of CCPA. It works only in coordination with the primary cookie. |
elementor | never | The website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
li_gc | 6 months | Linkedin set this cookie for storing visitor's consent regarding using cookies for non-essential purposes. |
lidc | 1 day | LinkedIn sets the lidc cookie to facilitate data center selection. |
messagesUtk | 6 months | HubSpot sets this cookie to recognize visitors who chat via the chatflows tool. |
UserMatchHistory | 1 month | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
Cookie | Duration | Description |
---|---|---|
SRM_B | 1 year 24 days | Used by Microsoft Advertising as a unique ID for visitors. |
Cookie | Duration | Description |
---|---|---|
__hstc | 6 months | Hubspot set this main cookie for tracking visitors. It contains the domain, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session). |
_clck | 1 year | Microsoft Clarity sets this cookie to retain the browser's Clarity User ID and settings exclusive to that website. This guarantees that actions taken during subsequent visits to the same website will be linked to the same user ID. |
_clsk | 1 day | Microsoft Clarity sets this cookie to store and consolidate a user's pageviews into a single session recording. |
_ga | 1 year 1 month 4 days | Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors. |
_ga_* | 1 year 1 month 4 days | Google Analytics sets this cookie to store and count page views. |
_gat_gtag_UA_* | 1 minute | Google Analytics sets this cookie to store a unique user ID. |
_gcl_au | 3 months | Google Tag Manager sets the cookie to experiment advertisement efficiency of websites using their services. |
_gid | 1 day | Google Analytics sets this cookie to store information on how visitors use a website while also creating an analytics report of the website's performance. Some of the collected data includes the number of visitors, their source, and the pages they visit anonymously. |
AnalyticsSyncHistory | 1 month | Linkedin set this cookie to store information about the time a sync took place with the lms_analytics cookie. |
CLID | 1 year | Microsoft Clarity set this cookie to store information about how visitors interact with the website. The cookie helps to provide an analysis report. The data collection includes the number of visitors, where they visit the website, and the pages visited. |
CONSENT | 2 years | YouTube sets this cookie via embedded YouTube videos and registers anonymous statistical data. |
hubspotutk | 6 months | HubSpot sets this cookie to keep track of the visitors to the website. This cookie is passed to HubSpot on form submission and used when deduplicating contacts. |
MR | 7 days | This cookie, set by Bing, is used to collect user information for analytics purposes. |
SM | session | Microsoft Clarity cookie set this cookie for synchronizing the MUID across Microsoft domains. |
vuid | 1 year 1 month 4 days | Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos on the website. |
Cookie | Duration | Description |
---|---|---|
ANONCHK | 10 minutes | The ANONCHK cookie, set by Bing, is used to store a user's session ID and verify ads' clicks on the Bing search engine. The cookie helps in reporting and personalization as well. |
bcookie | 1 year | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser IDs. |
bscookie | 1 year | LinkedIn sets this cookie to store performed actions on the website. |
IDE | 1 year 24 days | Google DoubleClick IDE cookies store information about how the user uses the website to present them with relevant ads according to the user profile. |
iutk | 6 months | Issuu sets this cookie to recognise the user's device and what Issuu documents have been read. |
li_sugr | 3 months | LinkedIn sets this cookie to collect user behaviour data to optimise the website and make advertisements on the website more relevant. |
MUID | 1 year 24 days | Bing sets this cookie to recognise unique web browsers visiting Microsoft sites. This cookie is used for advertising, site analytics, and other operations. |
test_cookie | 15 minutes | doubleclick.net sets this cookie to determine if the user's browser supports cookies. |
VISITOR_INFO1_LIVE | 6 months | YouTube sets this cookie to measure bandwidth, determining whether the user gets the new or old player interface. |
YSC | session | Youtube sets this cookie to track the views of embedded videos on Youtube pages. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the user's video preferences using embedded YouTube videos. |
yt-remote-device-id | never | YouTube sets this cookie to store the user's video preferences using embedded YouTube videos. |
yt.innertube::nextId | never | YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen. |
yt.innertube::requests | never | YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen. |
Cookie | Duration | Description |
---|---|---|
_cfuvid | session | Description is currently not available. |
_zitok | 1 year | Description is currently not available. |
VISITOR_PRIVACY_METADATA | 6 months | Description is currently not available. |