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The following are common types of specification.
Because specifications are an integral part of the Contract Documents, they are considered to be legal documents, and should therefore be comprehensive, accurate, and clear. Specification writing has two principal objectives: to define the scope of work and to act as a set of instructions.
The detailed specifications form a part of a contract document. They specify the qualities, quantities and proportions of materials and the method of preparation and execution for a particular item of works in a project.
Standardization means producing maximum variety of products from the minimum variety of materials, parts, tools and processes. It is the process of establishing standards or units of measure by which extent, quality, quantity, value, performance etc., may be compared and measured.
Standardize (seiketsu) – Setting up standards for a neat, clean, workplace. Standardization of best practices through ‘visual management’ Make abnormalities visible to management. Keep each area consistent with one another.
Take Taco Bell, for example. At every Taco Bell chain, the parent company dictates a specific recipe for all the food offered (and a specific way of preparing, packaging, and serving it) so that a person ordering a quesadilla in Arizona is getting the same experience as a person ordering a quesadilla in Maine.
Standardizing processes: how to create a documentation style guide
Grading and Standardization of Products! … Standardisation determines the specifications of a manufactured product such as size, quality, performance etc. Goods that cannot be produced of a single size, weight or colour such as fruits, grains, eggs or cotton are graded into classes on the basis of quality.
In the business world, “normalization” typically means that the range of values are “normalized to be from 0.
Let me elaborate on the answer in this section. Normalization is good to use when you know that the distribution of your data does not follow a Gaussian distribution. … Standardization, on the other hand, can be helpful in cases where the data follows a Gaussian distribution.
Normalization typically means rescales the values into a range of [0,1]. Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).
1 Answer. Standardizing a set of scores—that is, converting them to z-scores—that is, subtracting the mean and dividing by the standard deviation—indeed will not make a distribution any more or less normal.