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  2. Dynamic lot-size model - Wikipedia

    en.wikipedia.org/wiki/Dynamic_lot-size_model

    We have available a forecast of product demand d t over a relevant time horizon t=1,2,...,N (for example we might know how many widgets will be needed each week for the next 52 weeks). There is a setup cost s t incurred for each order and there is an inventory holding cost i t per item per period ( s t and i t can also vary with time if desired).

  3. Days in inventory - Wikipedia

    en.wikipedia.org/wiki/Days_in_inventory

    The average inventory is the average of inventory levels at the beginning and end of an accounting period, and COGS/day is calculated by dividing the total cost of goods sold per year by the number of days in the accounting period, generally 365 days. [3] This is equivalent to the 'average days to sell the inventory' which is calculated as: [4]

  4. Inventory optimization - Wikipedia

    en.wikipedia.org/wiki/Inventory_optimization

    Without inventory optimization, companies commonly set inventory targets using rules of thumb or single stage calculations. Rules of thumb normally involve setting a number of days of supply as a coverage target. Single stage calculations look at a single item in a single location and calculate the amount of inventory required to meet demand. [11]

  5. Master production schedule - Wikipedia

    en.wikipedia.org/wiki/Master_production_schedule

    Due to software limitations, but especially the intense work required by the "master production schedulers", schedules do not include every aspect of production, but only key elements that have proven their control effectivity, such as forecast demand, production costs, inventory costs, lead time, working hours, capacity, inventory levels ...

  6. Base stock model - Wikipedia

    en.wikipedia.org/wiki/Base_Stock_Model

    In a base-stock system inventory position is given by on-hand inventory-backorders+orders and since inventory never goes negative, inventory position=r+1. Once an order is placed the base stock level is r+1 and if X≤r+1 there won't be a backorder. The probability that an order does not result in back-order is therefore:

  7. Economic production quantity - Wikipedia

    en.wikipedia.org/wiki/Economic_production_quantity

    Demand for items from inventory is continuous and at a constant rate; Production runs to replenish inventory are made at regular intervals; During a production run, the production of items is continuous and at a constant rate; Production set-up/ordering cost is fixed (independent of quantity produced) The lead time is fixed

  8. Inventory - Wikipedia

    en.wikipedia.org/wiki/Inventory

    Time: The time lags present in the supply chain, from supplier to user at every stage, requires that you maintain certain amounts of inventory to use in this lead time. However, in practice, inventory is to be maintained for consumption during 'variations in lead time'. Lead time itself can be addressed by ordering that many days in advance. [5]

  9. Functional database model - Wikipedia

    en.wikipedia.org/wiki/Functional_Database_Model

    A dimension is a finite set of elements, or members, that identify business data, e.g., time periods, products, areas or regions, line items, etc. Cubes are built using any number of dimensions. A cube is a collection of cells, each of which is identified by a tuple of elements, one from each dimension of the cube.