Preferred Number

Preferred Number

In industrial design, preferred numbers (also called preferred values) are standard guidelines for choosing exact product dimensions within a given set of constraints. Product developers must choose numerous lengths, distances, diameters, volumes, and other characteristic quantities. While all of these choices are constrained by considerations of functionality, usability, compatibility, safety or cost, there usually remains considerable leeway in the exact choice for many dimensions.

Preferred numbers serve two purposes:

  1. Using them increases the probability of compatibility between objects designed at different times by different people. In other words, it is one tactic among many in standardization, whether within a company or within an industry, and it is usually desirable in industrial contexts. (The opposite motive can also apply, if it is in a manufacturer's financial interest: for example, manufacturers of consumer products often have a financial interest in lack of compatibility, in planned obsolescence, and in selling name-brand and model-specific replacement parts.)
  2. They are chosen such that when a product is manufactured in many different sizes, these will end up roughly equally spaced on a logarithmic scale. They therefore help to minimize the number of different sizes that need to be manufactured or kept in stock.

Read more about Preferred Number:  Renard Numbers, Rail Gauges, 1-2-5 Series, E Series, Buildings, Paper Documents, Envelopes, and Drawing Pens, Computer Engineering, Retail Packaging, Music, Photography

Famous quotes containing the words preferred and/or number:

    These people figured video was the Lord’s preferred means of communicating, the screen itself a kind of perpetually burning bush. “He’s in the de-tails,” Sublett had said once. “You gotta watch for Him close.”
    William Gibson (b. 1948)

    Computers are good at swift, accurate computation and at storing great masses of information. The brain, on the other hand, is not as efficient a number cruncher and its memory is often highly fallible; a basic inexactness is built into its design. The brain’s strong point is its flexibility. It is unsurpassed at making shrewd guesses and at grasping the total meaning of information presented to it.
    Jeremy Campbell (b. 1931)