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Manufacturing resource planning (MRP II) [1] is a method for the effective planning of all resources of a manufacturing company. Ideally, it addresses operational planning in units, financial planning, and has a simulation capability to answer " what-if " questions and is an extension of closed-loop MRP (Material Requirements Planning).
An MRP II system can include finite or infinite capacity planning. But, to be considered a true MRP II system must also include financials. In the MRP II (or MRP2) concept, fluctuations in forecast data are taken into account by including simulation of the master production schedule, thus creating a long-term control. [8]
Multilevel regression with poststratification (MRP) is a statistical technique used for correcting model estimates for known differences between a sample population (the population of the data one has), and a target population (a population one wishes to estimate for).
Manufacturing resource planning, (MRP II), derived from/a followup to MRP/Material requirements planning; Material requirements planning; Maximum retail price, in India and Bangladesh; Marginal revenue product, in the marginal revenue productivity theory of wages; Market risk premium, a risk premium
Overseas, the privatization of many utilities in the last 20 years has forced governments to choose a regulatory system. The majority have chosen MRPs over cost of service regulation. Regulators in Britain, Australia, Germany, the Netherlands, and New Zealand are recognized MRP leaders. The British approach to MRP design dates back to the early ...
Manufacturing resource planning (MRP2 or MRP II Topics referred to by the same term This disambiguation page lists articles associated with the same title formed as a letter–number combination.
Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products. [1] In the context of capacity planning, design capacity is the maximum amount of work that an organization or individual is capable of completing in a given period.
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.