Tool Management, the Face of DTM

  • Industry 4.0 has promised manufacturing industry a holistic shift from centralised manufacturing by harnessing technology & talent
  • IoT, artificial intelligence (AI), sensors and cloud computing are concurrently working to scrape off age-old challenges like low productivity and manual errors
  • Lack of correct equipment is a hazard that manufacturing industry no longer needs to deal with

Science has tiptoed into the manufacturing sector promoting better connectivity and efficiency and eliminating any issues of downtime or revenue loss even by an iota. Let’s take a glimpse at the hearty contribution of science in manufacturing:

  • Increased Output
  • Reduced Cost
  • Reduced Production Time
  • Data-Driven Planning and Organization
  • High Precision
  • Customer Satisfaction

Previously, the physical conundrum every time we tried to assort the right set of tools for a particular task was mindboggling. It was not rare for employees to face prolonged hassles while stumbling on the right pair of tools or fidgeting with rusty, malfunctioning ones.

Lack of correct equipment is a hazard that manufacturing industry no longer needs to deal with, thanks to expansion of science and interactive technology. Robotics and innovation have smoothened the dialogue between employees and management simultaneously pacing up productivity and quality.

As obsolete the mechanism sounds, it functions without any definite baseline of performance. Since possessing the right tool is imperative to commence on a task, the significance of tool management system is irrefutable. Entirety of the complex task of scanning through the perfect combination of tools is now eased by robotic arms that fetch the right tools from inventory.

The advancement of tool management science has accorded assorted data fields, parameters and graphics. Simplicity of science in acquiring the precise tools required rests squarely on planning, organizing and directing the activities to obtain optimal results. In India’s manufacturing sector, science has simplified complex organisational activities improving industrial operations. Science in technology and management has assured use of digital tools to ease physical exhaustion—a challenge that still plagues manufacturing in the era of Industry 4.0. As science encroaches upon manually controlled tasks, it also contributed to the boom of national income.

Tool management does not seek precision and quality at the expense of high operational costs. Instead, the science stimulates a neat process of finding the right tools for an operation by cutting down on time and expenses. Science also promises to do away with any compromises that industry personnel is forced to make when deprived of the right tools.

The blessing of tool management science is not restricted to merely tracking the equipment alone for it also provides data on asset supply and under right conditions.  You are inevitably in a better position to check the equipment’s health and predict future problems or probable repairs. At ZOLLER, we have synthesised availability of machining/tooling functional information and accessibility to data.

Far from replacing human labours on plant floors, technology has generated greater input while broadening the scope for innovative thinkers. Advent of science in shelving tools has promised ceaseless access to data while tracking and locating an asset. In a nutshell, any industry personnel will now be cognizant of the location from where a tool or minor parts of a component can be found.

While science has immensely contributed to the industry and embraced different aspects of manufacturing, such as equipment making, process operation and plant design, it is time we preserve the continuum of increased technology adoption.

Around the globe, manufacturing activities have expanded with the increased use of technology in workflow. Tools are the backbone of India’s manufacturing industry, and to elevate it to global standards, we must pave way for machine-to-machine communication guaranteeing productivity, cost minimisation and high-scale optimisation.