Right First Time – Food, Auto manufacturing, Plastics, Coatings and more

It should be clear to us that any action we take in any sphere of our lives, home, work, or play, getting the action Right First Time must yield benefits.

In its simplest form, it means hitting the nail on the head each and every time.

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This simple concept has been elaborated upon by academics who seek to document all the required steps to hit the nail on the head, develop a new language to describe the process, and create bureaucratic structures to record and police the process.

At the same time, practical physical steps can be taken to ensure that the right tool for the job will result in the right outcome.

Computers and software have added further complexity by digitising everything on devices that themselves may add errors in the process.

Initiated in the 1920s in the USA as Total Quality Management (TQM), and described as Right First Time or if something is done right first time, it is done perfectly every time, and no time and money is wasted correcting errors caused by doing it too fast or without controlling quality.

By the 2000s, TQM evolved into success stories like TPS, the Toyota Production System, and Six Sigma, a statistical method of ensuring quality, had evolved, allowing near-perfect manufacturing.

Today we use Artificial Intelligence (AI) to predict and calculate outcomes beyond the human ability using “Big Data” extracted from multiple databases, and we ensure the outcome is correct by programming Robots accordingly.

Imbedded in the Robots, we will have computing power (AI) and in many cases Sensors.

Combined, AI and Sensors hope to emulate the human experience, rapidly, cheaply, autonomously, and without an opinion, although modern robots can learn on the job.

We could conclude that since Sir Isaac Newton discovered that our human perception of colour, the ability to see all the colours of the rainbow by splitting daylight (White light) into discrete mathematical wavelengths, we were launched into the digital world version of Human senses.

It was not until the late 1970’s that Sensing became an accepted mainstream science, despite that Spectroscopy began when Sir Isaac Newton first used the word Spectrum, to describe the rainbow of colours making up white light. Up to then, human experiences were classified as “Anecdotal” and unreliable compared to Newtonian Science.

One of the reasons for this approach was that Human Senses could not be easily pinned down and reproduced or synthesised easily. To this day, we can measure light mathematically, and manage sound via data from sound waves, but we still don’t have “Sniff Meters” to describe perfumes or aromas, or Taste Meters to evaluate food or drink.

Since Sir Isaac Newton, we have developed Sensing on a much broader spectrum than was known in his time. From broadcasting waves at one extreme, to cosmic rays at the other, Sensors can now identify properties of numerous minerals, chemicals and other natural phenomena with ease.

What this all means to us in our business, is that we can precisely measure light, colour and other wavelengths, communicate the information into numerous applications with quite mundane tasks, which never the less, are important to us, our world and our well-being.

As light or properties along the spectral wavelengths, are precise and reliable sensing tools, utilise the perfection of nature, to “Measure” or sense accurate properties encountered in our daily lives. By Nature, the results will be “Right first Time” if we mirror the Natural Conditions that already exist.

How does all this help you?

  • Track raw incoming raw materials and chemicals
  • Grade flour, spices, fruits and crops
  • Manage at each stage of processing
  • Track sub-assemblies and incoming components
  • Confirm final quality
  • Validate measurements with appropriate certification
  • Compare Colour
  • Manage Colour
  • Predict Colour
  • Formulate Colour (Coatings, Plastics and more)

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