This dataset contains the basic features to calculate the allocation of a Demand between different receiving entities. Just 5 key features are needed for this: a DFU, a Period, a Demand, an initial Opening Inventory and a Supply Plan. And the breakdown of the Demand by receiving entities, here 5 different Distributors. The idea is to use this dataset to calculate a constrained demand for each Product, on top of the projected inventories & coverages. And to allocate this constrained demand based on the percentage of demand that each receiving entities represents for a given period of time. It's a concept of fair allocation. A constrained demand is a possible demand, which can be answered considering the projected inventories. Then we can apply on this dataset the const_dmd() function, it will add 2 variables : a Constrained.Demand and a Current.Stock.Available.Tag . The Constrained.Demand is the Demand which can be answered considering the projected inventories, i.e which quantity can be answered and when it can be answered. The function alloc_dmd() will allocate this constrained demand between receiving entities.
data(alloc_data)A data frame with 85 rows and 10 variables
Nicolas Nguyen nikonguyen@yahoo.fr
DFU, an item
Period, a date
Dist1, a consumption in units related to the distributor 1
Dist2, a consumption in units related to the distributor 2
Dist3, a consumption in units related to the distributor 3
Dist4, a consumption in units related to the distributor 4
Dist5, a consumption in units related to the distributor 5
Demand, a consumption in units
Opening, available inventories at the beginning in units
Supply, a Replenishment Plan in units