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  2. Master production schedule - Wikipedia

    en.wikipedia.org/wiki/Master_production_schedule

    By using many variables as inputs the MPS will generate a set of outputs used for decision making.Inputs may include forecast demand, production costs, inventory money, customer needs, inventory progress, supply, lot size, production lead time, and capacity.

  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. Sales and operations planning - Wikipedia

    en.wikipedia.org/wiki/Sales_and_operations_planning

    The S&OP process includes an updated forecast that leads to a sales plan, production plan, inventory plan, customer lead time (backlog) plan, new product development plan, strategic initiative plan, and resulting financial plan. Plan frequency and planning horizon depend on the specifics of the context. [1]

  6. Supply chain optimization - Wikipedia

    en.wikipedia.org/wiki/Supply_chain_optimization

    The classic supply-chain approach has been to try to forecast future inventory demand as accurately as possible, by applying statistical trending and "best fit" techniques based on historic demand and predicted future events. The advantage of this approach is that it can be applied to data aggregated at a fairly high level (e.g. category of ...

  7. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    Demand forecasting plays an important role for businesses in different industries, particularly with regard to mitigating the risks associated with particular business activities. However, demand forecasting is known to be a challenging task for businesses due to the intricacies of analysis, specifically quantitative analysis. [4]

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  9. Time horizon - Wikipedia

    en.wikipedia.org/wiki/Time_horizon

    A time horizon, also known as a planning horizon, is a fixed point of time in the future at which point certain processes will be evaluated or assumed to end. It is necessary in an accounting , finance or risk management regime to assign such a fixed horizon time so that alternatives can be evaluated for performance over the same period of time.