The scenario for which you can
define the resource parameters.
Resource Cost Values (cprao3120m000)Use this session to specify the resource parameters that form the input for the optimization of lot sizes and order intervals in the Optimize Lot Sizing (cprao3200m000) session. You can specify:
Highlight the resource for which LN must optimize the lot sizes, and select the Optimize Lot Sizing option from the appropriate menu to start the Optimize Lot Sizing (cprao3200m000) session.
Scenario The scenario for which you can
define the resource parameters. Plan Level The plan level for which you want to specify the resource
parameters. Resource The resource for which you want
to specify the parameters. Start Date The first date of the period for which LN performs the
optimization. Note The demand data is maintained by plan period. The computation works best if you choose the start date of a plan period as the start date of the computation. Finish Date The last date of the period for which LN performs the
optimization. Note The demand data is maintained by plan period. The computation works best if you choose the end date of a plan period as the end date of the computation. Overtime Percentage The percentage by which you allow LN to increase the
available capacity through overtime. Overtime Tariff Percentage The percentage by which the operation rate is higher, if
you use overtime. Risk Percentage by Day The chance, per day, that an item becomes obsolete. Inventory Cost Percentage The percentage used to calculate an estimate of the inventory carrying cost. The inventory cost percentage is the cost per day to store an item, expressed as a percentage of the item standard cost. You can estimate the daily inventory carrying cost with the following formula: IC = AIL * (IP/100) * C where IC = inventory carrying cost per day AIL = average inventory level IP = inventory cost percentage C = material value (unit cost) Priority Number The relative importance of a resource. Enter a high number for the most important resources. If an item's production process involves multiple resources, the optimized order parameters are based on the resource with the highest priority.
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