生产管理-i2工作流参考模型(doc37)英文版!(编辑修改稿)

生产管理-i2工作流参考模型(doc37)英文版!(编辑修改稿)内容摘要：

cess. This forecast can be aggregated from bottom up and pared to the targets established by the topdown forecasting process at the enterprise level. This will enable easy parison between sales forecasts and financial targets. Frequency: This is a weekly process. However, there is continuous refinement of the forecast at an interval determined by the forecasting cycle time and/or nature of the change required. Scenario Description In parallel with the topdown forecast, the sales force/operational planners will enter forecasts for independent demand for a particular SKU or product series by customer or region as is pertinent to a particular Product / Geography bination. This data will automatically be aggregated and pared to the targets established by the topdown forecasting process. Using the Average Selling Price for a unit, the unit based forecasts can be converted to revenue dollars and automatically aggregated. The bottomup forecast can also be generated using collaborative demand planning with a customer. In this case, the consensus forecast for a product/product series for a customer is aggregated and pared to the topdown target. Input  Sales force input  Operations Planning Input  Average Selling Price (ASP)  Customer forecast (from the Demand Collaboration process) Outputs  Aggregated Sales forecast by unit  Aggregated Sales Forecast by Dollars  Aggregated Operations Plan by unit Benefits  Automatic aggregation of data means faster, more accurate forecasting  Simple alignment of lower level Sales plans to higher level revenue targets i2 Products Used TRADEMATRIX Demand Planner, TRADEMATRIX Collaboration Planner SCP Master Planning Technical Implementer Reference Manual 169。 20xx i2 Technologies, Inc. 10 10 Life Cycle Planning – New Product Introductions and PhaseIn/PhaseOut Definition Forecasting product transitions plays a critical role in the successful phasing out and launch of new products. New Product Introduction (NPI) and phase In/phase out forecasting allows the enterprise to forecast ramp downs and ramp ups more accurately. Ramping can be defined in terms of either a percentage or as units. Typically new products are difficult to forecast because no historical information for that product exists. NPI planning must allow for new product to inherit historical information from other product when it is expected that a new product will behave like the older product. In situations where a new product will not behave like any other older product, NPI planning allows a user to predict a life cycle curve for a product, and then overlay lifetime volume forecasts across that curve. Scenario Description Given a forecast for two plimentary products, the user can change the ramping percentage of both to reflect the ramping up of one product and the ramping down of another. Given a New Product Introduction that is predicted to behave like an older product, the user can utilize historical data from the older product to be used in predicting the forecast for the new product. The scenarios for this process are executed in TradeMatrix Demand Planner. Future releases of the template will use TradeMatrix Transitional Planner to do product life cycle planning. Inputs  Historical bookings  New product and association with the older part  Product ramping information for a new product Outputs Adjusted Forecast ramping broken out by % New product forecast based on a similar products history New product forecast based on life cycle input Benefits The ability to forecast a new product using history from an another product The ability to forecast using product life cycle curves Cleaner product transitions allowing for decreased inventory obsolescence i2 Products Used TRADEMATRIX Demand Planner, TRADEMATRIX Transition Planner 169。 20xx i2 Technologies, Inc. 11 11 Event Planning Definition This process determines the effect of future planned events on the forecast. The marketing forecast is adjusted based on events related factors. A promotional campaign or price change by the pany or the petition is an example of an event related factor that may influence demand. The marketing forecast is adjusted up or down by a certain factor. The factor can be increased or decreased across periods to simulate a rampup or a rampdown in sales depending upon the nature of the event. Frequency: Event Based Scenario Description An event row will model the influence of the event that will change the marketing forecast. A promotional campaign or price change by the pany or the petition is an example of a factor that may influence demand. The user will populate the Event row with scalar values which when multiplied by the Marketing statistical forecast will adjust the Marketing forecast up or down by a factor ( for a 10% decline or for a 5% increase etc.). Event row can be increased or decreased across periods to simulate a rampup or a rampdown in sales depending upon the nature of the event. Inputs  Event – constant factor typically  Historical Bookings  Marketing forecast Outputs  Adjusted Marketing Forecast Benefits  The ability to allow events to dynamically influence forecast I2 Products Used TRADEMATRIX Demand Planner SCP Master Planning Technical Implementer Reference Manual 169。 20xx i2 Technologies, Inc. 12 12 Consensus Forecast Definition The consensus process is one in which the multiple forecasting processes thus far used are brought together to arrive at one single forecast. All information critical to reaching consensus on the forecast will be brought together for analysis and facilitation of th。