Internet of Things A
cquiring new digital technologies and capabilities will be essential if these companies are to stay competitive and expand their market presence, reports PwC. Elsewhere, as reported
by McKinsey, “Companies at the front of the pack are capturing benefits across the entire manufacturing value chain - increasing production capacity and reducing material losses, improving customer service and delivery lead times, achieving higher employee satisfaction, and reducing their environmental impact.” These advantages can transform a company’s competitive standing when scaled across the entire business, yet digitalisation requires significant time and money. McKinsey also reports that most manu- facturers, “remain unable to scale successful pilot programs or fully leverage new tools and technology to see meaningful returns.”
Let us examine the challenges in more depth. First, it can be complex and time-consuming to integrate new Industry 4.0 technologies with existing systems. Second, introducing new technologies into manufac- turing processes could disturb existing tried-and-trusted processes and, in doing so, disrupt the supply chain. More Internet of Things (IoT) technologies on the shop floor also equals a proliferation of connected devices, and increasingly vast amounts of data. Managing these devices and data is becoming more complex, which creates a need for robust data management systems to turn these complexities into profitable actions.
Another potential obstacle to rolling-out digital transformations is the human aspect. Implementing new Industry 4.0 technologies often requires employees to acquire new skills or retrain. In other cases, manufacturers can face challenges in finding and retaining talent with the necessary technical expertise to operate and maintain these new technologies in ways that capture the benefits listed by McKinsey.
There might even be resistance to change on the shop floor, as employees accustomed to traditional methods hinder the adoption of new technologies. How can manufacturers overcome these obstacles, while effectively digitalising their processes to stay competitive? Fortunately, an answer lies in industrial automation software.
ROUND-THE-CLOCK OPERATION Vendor-agnostic CNC robot programming software platforms can help modernise and simplify the role of robot operators. Such software can significantly reduce time spent instructing the robot and work across all CNC machines and control units of different ages and vendors, as are typically found in manufacturing envi- ronments. These advantages can help manufacturers, which might otherwise struggle, successfully scale pilot programs and fully leverage new tools and technology. One example of this software is RoboCAM+, a program developed by Tezmaksan Robot Technol- ogies, to control and monitor robotic operations. RoboCAM+ was initially developed to control
74
OVERCOMING THE COMPLEXITIES OF DIGITAL TRANSFORMATION
“Rapid technological advancements, such as artificial intelligence (AI), automation and digital transformation are strategic areas of focus for manufacturing,” according to PwC’s 2024 Outlook report. However, despite the pressure on manufacturers to achieve success through Industry 4.0, expanding digital transformations across factory networks is challenging and complex. Here, Hakan Aydogdu, general manager of CNC automation system manufacturer, Tezmaksan Robot Technologies, examines how CNC robot programming software can help manufacturers’ digital transformation.
Tezmaksan’s own CubeBOX CNC automation system, a modular solution designed to automate production without human operators.
With RoboCAM+ at its core, the CubeBOX system enables multiple machines to operate seamlessly without interruptions, such as those stemming from loading and unloading processes. Offering round- the-clock operation without the need for constant operator intervention, the primary benefit of the CubeBOX system lies in its ability to work seamlessly and continuously.
However, RoboCAM+ software has evolved into a versatile solution compatible with all types of robotic CNC machines and control units. A key breakthrough achieved with RoboCAM+ is that the software can create 3D models of workpieces. By converting 2D CAD drawings into 3D CAM instructions, RoboCAM+
streamlines the design manufacturing process, signifi- cantly reducing the time spent instructing the robot. This function removes the need for programming and extensive CAM knowledge, as well as the need for specialised training. This eliminates the complexities of robotics programming and makes automation engi- neering more accessible to individuals with varying levels of programming expertise. Foremost, this democratisation of robot programming opens access to a wider audience in manufacturing, and training can be delivered more quickly. This also supports effective change manage- ment for manufacturers, helping them overcome the challenges and complexities of digital transformation.
Tezmaksan Robot Technologies
tezmaksanrobotics.com
November 2024 Instrumentation Monthly
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96
