Optimized deployment of parts in a distribution network
View Patent ↗A method for deploying parts is disclosed. Locations that include supply locations and demand locations are defined. A supply location supplies parts to a demand location. A demand is computed for each part at each location. An availability lead-time is estimated for each part at each location. A lead-time demand is computed for each part at each location using the availability lead-times for the part. A stock level is computed for each part at each location. A completely filled demand is determined from the lead-time demands and the stock levels, and a partially filled demand is determined from the lead-time demands and the stock levels. A coverage function for the parts at the locations is generated from the completely filled demand and the partially filled demand.
1. A computer-implemented method for deploying parts in a distribution network, comprising:
defining, by a computer, a plurality of locations in the distribution network comprising a plurality of supply locations and a plurality of demand locations, each supply location configured to supply a plurality of parts to a demand location;
calculating, by the computer, a demand for each part at each location;
estimating, by the computer, an availability lead-time for each part at each location;
calculating, by the computer, a lead-time demand for each part at each location using the availability lead-times for the part;
calculating, by the computer, a stock level for each part at each location;
determining, by the computer, a completely filled demand from the lead-time demands and the stock levels;
determining, by the computer, a partially filled demand from the lead-time demands and the stock levels; and
generating, by the computer, a coverage function for the parts at the locations from the completely filled demand and the partially filled demand.
2. The method of claim 1 , further comprising:
optimizing the coverage function; and
determining an optimal deployment of the parts at each location according to the optimized coverage function.
3. The method of claim 1 , further comprising:
determining a completely backordered demand from the lead-time demands and the stock values;
determining a partially backordered demand from the lead-time demands and the stock values;
generating a backorder function for the parts at the locations from the completely back ordered demand and the partially backordered demand;
minimizing the backorder function; and
determining an optimal deployment of the parts at the locations according to the minimized backorder function.
4. The method of claim 1 , further comprising:
generating a cost function for the parts at the locations;
minimizing the cost function; and
determining an optimal deployment of the parts at the locations according to the minimized cost function.
5. The method of claim 1 , wherein computing the lead-time demand for a part at a location comprising a demand location comprises:
calculating a probability that a supply location can supply the part to the demand location;
calculating a replenishment lead-time at the demand location according to the probability; and
calculating the lead-time demand at the demand location from the demand at the demand location and the replenishment lead-time at the demand location.
6. The method of claim 1 , wherein computing the lead-time demand for a part at a location comprises:
receiving an ordered list comprising at least a subset of the supply locations;
repeating the following for each supply location of the ordered list:
calculating a probability that a supply location supplies the part to the demand location, given that no other supply location has supplied the part; and
selecting the next supply location of the ordered list; and
estimating the availability lead-time at the location from the calculated probabilities.
7. The method of claim 1 , wherein estimating the availability lead-time for a part at a location comprising a target demand location comprises:
estimating an availability lead-time for the part at a supply endpoint; and
repeating the following until the target demand location is reached:
estimating an availability lead-time for the part at a supply location; and
estimating a replenishment lead-time for the part at a demand location according to the availability lead-time for the part at the supply location, the supply location configured to supply the part to the demand location.
8. The method of claim 1 , wherein computing the demand for a part at a location comprising a supply location comprises:
calculating a demand at a demand location configured to receive the part from the supply location;
calculating a dependent demand at the supply location according to the demand at the demand location;
calculating an independent demand at the supply location; and
calculating the demand at the supply location from the dependent demand and the independent demand.
9. The method of claim 1 , wherein computing the demand for a part at a location comprising a supply location comprises:
calculating a demand at a demand location configured to receive the part from the supply location;
establishing a probability of repairing the part at the demand location; and
determining the demand at the supply location according to the demand at the demand location and the probability of repairing the part at the demand location.
10. The method of claim 1 , wherein computing the demand for a part at a location comprising a target supply location comprises:
calculating a demand at a demand endpoint; and
repeating the following until the target supply location is reached:
calculating a demand at a demand location; and
calculating a demand at a supply location configured to supply the part to the demand location according to the demand at the demand location.