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Cutting stock problem. In operations research, the cutting-stock problem is the problem of cutting standard-sized pieces of stock material, such as paper rolls or sheet metal, into pieces of specified sizes while minimizing material wasted. It is an optimization problem in mathematics that arises from applications in industry.
Economic order quantity. Economic order quantity ( EOQ ), also known as financial purchase quantity or economic buying quantity, [citation needed] is the order quantity that minimizes the total holding costs and ordering costs in inventory management. It is one of the oldest classical production scheduling models.
In statistics, the k th order statistic of a statistical sample is equal to its k th-smallest value. [ 1 ] Together with rank statistics, order statistics are among the most fundamental tools in non-parametric statistics and inference . Important special cases of the order statistics are the minimum and maximum value of a sample, and (with some ...
Experimental uncertainty analysis. Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity. The model used to convert the measurements into the ...
The economic production quantity model (also known as the EPQ model) determines the quantity a company or retailer should order to minimize the total inventory costs by balancing the inventory holding cost and average fixed ordering cost. The EPQ model was developed and published by E. W. Taft, a statistical engineer working at Winchester ...
Granulometry. In granulometry, the particle-size distribution ( PSD) of a powder, or granular material, or particles dispersed in fluid, is a list of values or a mathematical function that defines the relative amount, typically by mass, of particles present according to size. [ 1] Significant energy is usually required to disintegrate soil, etc ...
With some exceptions regarding erroneous values, infinities, and denormalized numbers, Excel calculates in double-precision floating-point format from the IEEE 754 specification [ 1] (besides numbers, Excel uses a few other data types [ 2] ). Although Excel allows display of up to 30 decimal places, its precision for any specific number is no ...
Prediction interval. In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall, with a certain probability, given what has already been observed. Prediction intervals are often used in regression analysis . A simple example is given by a six-sided die ...