Magnitude of forecast errors, actual less forecast values, without regard to sign.
accuracy measures
In Oracle Demand Planning and Oracle Inventory Optimization, a statistical data element that estimates the accuracy of a comparison between two measures. In Oracle Inventory Optimization, accuracy measures include MAD and MAPE.See also Mean Absolute Deviation (MAD) and Mean Absolute Percent Error (MAPE).
Analysis Workbench
You can use the Analysis Workbench to analyze inventory plans. You can analyze service levels, profits, most profitable service levels, inventory levels, postponement, and budget. The Analysis Workbench facilitates a graphical and tabular comparison between multiple inventory plans.
API
An Application Programming Interface (API) is a published interface to accomplish a business or scientific function. An API defines a contract to its users by guaranteeing a published interface but hides it's implementation details.
assignment hierarchy
You can assign sourcing rules and bills of distribution to a single item in an inventory organization, all items in an inventory organization, categories of items in an inventory organization, a site, and an organization. These assignments have an order of precedence relative to one another.
assignment set
A group of sourcing rules and/or bills of distribution and a description of the items and/or organizations whose replenishment they control.
B
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budget
The amount of money allotted for inventory operations for a specific time period. You can define budgets at various levels such as plan, organization, and category.
C
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constrained forecast
Unconstrained forecasts are generated from historical data or by individuals without regard to limitations. For example, a retailer with no knowledge of manufacturing capability or a manufacturer without knowledge might generate an unconstrained forecast. When an unconstrained forecast is appropriately modified based on knowledge of constraints, it is known as a constrained forecast. See also unconstrained forecast.
D
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discrete job
Discrete jobs are used to manufacture assemblies using specific materials and resources within a start and end date. (Also known as work order or assembly order).
E
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end item
Any item that can be ordered or sold.
F
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forecast
An estimate of future demand on inventory items. A forecast contains information on the confidence factor and any specific customer information. You can assign any number of inventory items to the forecast and use the same item in multiple forecasts. For each inventory item, you can specify any number of forecast entries.
forecast error
Each forecast that Oracle Demand Planning generates includes an estimate of the forecast error. The types of errors computed are Mean Absolute Percent Error (MAPE) and Mean Absolute Deviation (MAD). See also Mean Absolute Percent Error (MAPE) and Mean Absolute Deviation (MAD).
forecasting methods
Refers to the statistical methods that you can use to generate forecasts in Oracle Demand Planning. These are Linear Regression, Polynomial Regression, Exponential Fit, Logarithmic Fit, Asymptotic fit, Exponential Asymptotic Fit, Single Exponential Smoothing, Double Exponential Smoothing, and Holt-Winters. As an alternative to selecting a specific method, you can allow the system to automatically determine the best-fit method.
I
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Independent Demand
Demand for an item unrelated to the demand for other items.
M
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Make Order
An order to manufacture an item. The following Oracle Applications entities are make orders: - Batches (Oracle Process Manufacturing) - Discrete jobs (Oracle Work in Process) - Flow schedules (Oracle Flow Manufacturing) - Jobs (Oracle Project Manufacturing) - Jobs (Oracle Shopfloor Management (OSFM))
Mean Absolute Deviation (MAD)
A performance metric for evaluating forecast accuracy. , where N is the total number of observations, the summation is for all N observations, Y represents the observed data at any time, and Z is the corresponding forecast data.
Mean Absolute Percent Error (MAPE)
A performance metric for evaluating forecast accuracy, where N is the total number of observations, the summation is for all N observations, Y represents the observed data at any time, and Z is the corresponding forecast data.
O
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Optimized Plan
In this plan, you can generate an optimized and executable plan based on plan objectives as well as material, resource, and transportation constraints.
P
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planned order
A suggested quantity, release date, and due date that satisfies net item requirements.
Planner Workbench
You can use the Planner Workbench in Oracle Advanced Supply Chain Planning to act on recommendations generated by the planning process for a plan. You can implement planned orders as discrete jobs or purchase requisitions, maintain planned orders, reschedule scheduled receipts, and implement repetitive schedules. You can choose all suggestions from an MRP plan, or only those that meet a certain criteria. In Oracle Inventory Optimization, Planner Workbench is used to perform tasks such as setting up item attributes, setting up supply chain BOM, and analyzing time-phased safety stocks.
Planning Exception Set
An item attribute the planning process uses to decide when to raise planning exceptions for the item.
planning horizon
The amount of time a master schedule extends into the future.
planning time bucket
A time period into which the planning engine accumulates time-phased data and nets (performs the gross to net explosion on) that data as a unit. The planning engine plans in planning time buckets of minutes, hours, days, weeks, and periods (months).You specify the types and number of planning time buckets for each plan when you establish its plan options; typically, you specify smaller buckets closer in and larger buckets farther out.For example, for a weekly bucket, the planning engine accumulates all of the time-phased data that falls within that week and nets that data such that demand and supply are balanced for the week without attempting to balance for each day, hour, and minute.The time-phased data included all demands (which are due at the end of the week), all supplies, and all capacities (material and resource).A planning time bucket is different from a time bucket used for reporting purposes; you use that type of bucket to specify a number of days of plan data summarized into a display.
probability
The confidence factor for a demand variability forecast to be accurate. If you are 100% confident about a forecast, then its probability is 1. You can choose to specify a probability value if demand variability information is not available from Oracle Demand Planning or when you want to run quick variability simulations.
S
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safety stock
Quantity of stock planned to have in inventory to protect against fluctuations in demand and/or supply.
Safety Stock (item attribute)
An item attribute the planning process uses to decide whether to use fixed or dynamically calculated safety stock quantities when planning material requirements for the item. A value of MRP-planned percent means the planning process plans to safety stock quantities it calculates dynamically as a user-defined percentage of the average gross requirements for a user-defined number of days. The user-defined percentage is defined by the value you enter for the Safety Stock Percent attribute for the item. For discretely planned items, the user-defined number of days is defined by the value you enter for the Safety Stock Bucket Days attribute for the item. For repetitively planned items, the planning process uses the repetitive planning period rather than Safety Stock Bucket Days. These safety stock quantities are dynamic in that they vary as a function of the average gross requirements calculated by the planning process for the item. A value of Non-MRP planned means the planning process plans to safety stock quantities calculated and maintained in Inventory. These safety stock quantities are fixed in that the Snapshot loads them from Inventory before the planning process and they do not vary unless they are recalculated in Inventory.
Safety Stock Bucket Days
An item attribute the planning process uses when you set the Safety Stock attribute for the item to MRP-planned percent. The planning process dynamically calculates safety stock quantities for the item by multiplying the average gross requirements for the item, over the time period defined by the value you enter for Safety Stock Bucket Days, by the value you enter for Safety Stock Percent.
Safety Stock Percent
An item attribute the planning process uses when you set the Safety Stock attribute for the item to MRP-planned percent. The planning process dynamically calculates safety stock quantities for the item by multiplying the average gross requirements for the item, over the time period defined by the value you enter for Safety Stock Bucket Days, by the value you enter for Safety Stock Percent.
safety stock quantity
The quantity suggested by MRP as additional supply needed for safety stock. This quantity can change according to an effective date set in Inventory.
sourcing rule
Specifies how to replenish items in an organization, such as purchased items in plants.
T
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time bucket
A unit of time used for defining and consuming forecasts. A bucket can be one day, one week, or one period.
U
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unconstrained plan
In this plan, the system performs traditional MRP type planning and assumes infinite material availability and resource capacity. Statements of material availability and resource capacity are used to generate exceptions. Demand priorities are included during the planning run to determine the appropriate pegging relationships between supply and demand.
unconstrained forecasts
Forecast that is generated from historical data or by individuals without regard to limitations. For example, a retailer with no knowledge of manufacturing capability or a manufacturer without knowledge of customer demand might generate an unconstrained forecast. See also constrained forecast.
user-specified safety stock
The safety stock value that you determine based on your requirements, experience, or parameters that the inventory planning engine cannot model. If you have provided the user-specified safety stock value, Oracle Inventory Optimization considers this value as the safety stock for processing.