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  2. Economic order quantity - Wikipedia

    en.wikipedia.org/wiki/Economic_order_quantity

    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.

  3. Economic production quantity - Wikipedia

    en.wikipedia.org/wiki/Economic_production_quantity

    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 ...

  4. Order statistic - Wikipedia

    en.wikipedia.org/wiki/Order_statistic

    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 qualifications discussed below) the sample median and other sample quantiles .

  5. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    In statistics, "bias" is an objective property of an estimator. Bias is a distinct concept from consistency: consistent estimators converge in probability to the true value of the parameter, but may be biased or unbiased; see bias versus consistency for more. All else being equal, an unbiased estimator is preferable to a biased estimator ...

  6. Dynamic lot-size model - Wikipedia

    en.wikipedia.org/wiki/Dynamic_lot-size_model

    Dynamic lot-size model. The dynamic lot-size model in inventory theory, is a generalization of the economic order quantity model that takes into account that demand for the product varies over time. The model was introduced by Harvey M. Wagner and Thomson M. Whitin in 1958. [1] [2]

  7. Material requirements planning - Wikipedia

    en.wikipedia.org/wiki/Material_requirements_planning

    Material requirements planning. Material requirements planning ( MRP) is a production planning, scheduling, and inventory control system used to manage manufacturing processes. Most MRP systems are software -based, but it is possible to conduct MRP by hand as well. An MRP system is intended to simultaneously meet three objectives:

  8. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    In remote sensing the MAE is sometimes expressed as the sum of two components: quantity disagreement and allocation disagreement. Quantity disagreement is the absolute value of the mean error: | = |. Allocation disagreement is MAE minus quantity disagreement.

  9. Per-unit system - Wikipedia

    en.wikipedia.org/wiki/Per-unit_system

    Per-unit system. In the power systems analysis field of electrical engineering, a per-unit system is the expression of system quantities as fractions of a defined base unit quantity. Calculations are simplified because quantities expressed as per-unit do not change when they are referred from one side of a transformer to the other.