IT in Manufacturing


Mobile robots speed production at new smart factory

July 2020 IT in Manufacturing

Showcasing flexible production in real life, a new ‘Smart Factory’ in Norway uses a variety of robots in a system developed and implemented by system integrator Intek Engineering.

A dozen industrial robots, each in individual workstations or cells, perform different steps in the manufacturing process. However, to attain the high efficiency, safety, and convenience of a modern smart factory, Intek Engineering needed to link the cells together in an intelligent way. The company chose Omron’s LD mobile robots and Enterprise Management software to achieve this.

“The manufacturer wanted a flexible production solution that could deliver very high efficiency and low changeover times,” says Sølvar Flatmo, chief strategy officer at Intek Engineering. “Combining our experience in flexible production equipment with technology like the Omron LD is a game changer for creating flexible and customisable production lines that can be reconfigured and even changed on-the-fly during production. For high-efficiency production, keeping the robots working continually is a requirement and for this line, fast changeover times and minimal downtime are essential.”

High speed precision

Omron’s LD robots travel at an impressive speed – up to 1,8 m/s. Yet they easily move their 85 cm wide body in and out of the 95 cm robot cells without any trouble. Thanks to their double guide sensors, using special magnetic bands in the floor, the robots can align themselves with millimetre precision. It is this accuracy that helps accelerate production processes.

In addition to their speed and accuracy, LD robots can operate in areas that could be hazardous, or even dangerous, for personnel such as those working in refrigerated stores or heated rooms. They are also ideal for cleanroom facilities such as in semiconductor or pharmaceutical markets where the presence of human operators could contaminate the process.

Supporting production cells

The production line in the new factory uses eight LD robots to support the production cells. The mobile robots are controlled by Omron’s Enterprise Manager, which plans and coordinates all movements in the system. It acts as the central brain – a robot within a robot. It is given the ‘map’ of the production system and it decides which robots go where, based on several factors from position to battery level, aimed at maximising efficiency. Like the rest of the system, the Enterprise Manager acts fast, making decisions on the fly so no time is lost.

Together, this delivers high overall efficiency. The Enterprise Manager ensures that a mobile robot is always waiting to pick up finished production from a cell and move it to the next stage. It also checks if a robot needs to charge, so will send a robot to the charging station, even for just a short period during operation, to give a battery a charge boost. Obviously, during scheduled downtimes, it will send all the robots to charge.

The Enterprise Manager also makes it easy to expand an installation with additional robots. When a new robot is added, it does not need any additional programming. The Enterprise Manager simply adds it to its available pool and gives it instructions on where to go.

Safety first

The industrial robots at the plant operate at high speed which means that it is dangerous for personnel to enter the production cells while they are in operation. Therefore, each cell has a laser screen that can detect if someone enters the cell, and automatically shuts down the system. However, the LD robots also need to enter the cells to take the products to the next production stage. As a result, the Enterprise Manager can inform the cells when a robot is about to enter, so that it does not trigger an emergency shutdown when the robot passes through the laser screen.

When moving between cells, the robots use their own sensors to detect if a person or object is in their way and will move around obstacles or stop to let people pass by. So, even though the fully automated production line only needs a few operators and maintenance personnel to run, these can safely work in the same spaces as the LD robots.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

How to navigate the high-stakes economics of AI infrastructure
IT in Manufacturing
Nearly 60% of data centre operators are expected to adopt liquid cooling within five years as AI workloads drive demand for higher rack densities. Understanding the full financial picture of liquid cooling, from capital investment to long-term operational savings, is now essential.

Read more...
Protecting the digital mine
RJ Connect IT in Manufacturing
As mining becomes increasingly connected and automated, cyber threats are emerging alongside the benefits of digitalisation. RJ Connect and provides rugged networking, edge computing and cybersecurity technologies from MOXA to help protect critical mining operations from evolving attacks.

Read more...
SICK launches AI-powered 3D quality inspection
SICK Automation Southern Africa IT in Manufacturing
SICK has combined deep learning with 3D height data analysis in its Nova machine vision platform.

Read more...
Predictive maintenance is the critical enabler for AI data centre liquid cooling systems
IT in Manufacturing
As liquid cooling becomes essential for AI data centres, predictive and condition-based maintenance are emerging as critical enablers of thermal stability. Schneider Electric argues that the infrastructure is already generating the data needed and the question is whether operators are equipped to use it.

Read more...
Siemens software scales with Simple Energy EV development
Siemens South Africa IT in Manufacturing
: Simple Energy, an Indian electric two-wheeler manufacturer, has expanded its use of Siemens Xcelerator software to manage complex vehicle variants and enterprise-level bills of materials, accelerating product development as its EV portfolio scales.

Read more...
ESG as a growth lever
RS South Africa IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.

Read more...
Preparing Africa’s data centres for the demands of autonomous AI
Schneider Electric South Africa IT in Manufacturing
Africa’s data centre infrastructure must evolve significantly to support agentic AI workloads, with GPU-intensive computing, advanced cooling and reliable power demanding a fundamentally different approach to facility design and investment.

Read more...
Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...
AI infrastructure solutions for data campus
Schneider Electric South Africa IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.

Read more...
Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved