Determining order lead time for a supply chain using a probability distribution of order lead time
View Patent ↗A system and method is disclosed for estimating demand of a supply chain including accessing a probability distribution of order lead time of the supply chain. The supply chain has nodes including a starting node and an ending node and a path from the starting node to the ending node. The probability distribution of order lead time describes ending node demand of the ending node versus order lead time. The path is divided into order lead time segments which are associated with the probability distribution of order lead time by associating each order lead time segment with an order lead time range of the probability distribution of order lead time. A demand percentage is estimated for each order lead time segment in accordance with the probability distribution of order lead time, such that each demand percentage describes a percentage of a total ending node demand of an order lead time segment.
1. A method of optimizing inventory, comprising:
generating, using a computer, one or more end node demand streams in a supply chain, each end node demand stream comprising a time series of demands at an end node in the supply chain forecasted over one or more time periods;
organizing, using the computer, one or more order lead time groups that characterize an order lead time of each of the one or more end node demand streams;
calculating, using the computer, an order lead time probability distribution for each order lead time group;
retrieving, using the computer, a supply path in the supply chain for the end node of each end node demand stream;
calculating, using the computer, a cumulative supply lead time for each inventory-carrying node upstream from the end node in the supply path of each end node demand stream;
dividing, using the computer, the order lead time probability distribution of each order lead time group into order lead time segments corresponding to each supply lead time, each order lead time segment representing a portion of the supply chain that allows for distribution of order lead times and demand upstream in the supply chain;
redistributing, using the computer, demand to at least one of the order lead time segments upstream in the supply chain for each of the one or more end node demand streams; and
calculating, by the computer, inventory targets at each inventory-carrying node in the supply chain.
2. The method of claim 1 , further comprising identifying, by the computer, each end node demand stream by one or more of a unique combination of product being sold, a location from where product is being shipped, customer, and customer location.
3. The method of claim 2 , wherein organizing the one or more order lead time groups comprises categorizing one or more order lead time groups according to features that affect the order lead time of customers, products or locations.
4. The method of claim 3 , further comprising identifying the features that affect the order lead time with a lead time history.
5. The method of claim 1 , further comprising calculating, using the computer, a specified confidence level from each upstream inventory-carrying node for each supply path.
6. The method of claim 1 , further comprising establishing the order lead time segments with one or more cycle times, each cycle time representing a difference in time between when an item arrives and a node in the supply and chain and leaves the node in the supply chain.
7. The method of claim 1 , further comprising:
determining an order lead time profile by identifying the one or more lead time groups;
selecting the order lead time profile that corresponds to the one or more lead time groups identified; and
modifying the order lead time profile.
8. The method of claim 7 , further comprising calculating a demand percentage split for each order lead time segment.
9. The method of claim 8 , further comprising postponing safety stock inventory to one or more nodes upstream from the end node in the supply chain.
10. The method of claim 9 , wherein redistributing demand to the at least one of the order lead time segments comprises redistributing the demand to the at least one of the order lead time segments by estimating a demand percentage for each order lead time segment, the demand percentage comprising a percentage of demand required to be satisfied during the order lead time segment in order to satisfy customer demand within constraints of the order lead time profile.
11. The method of claim 10 , further comprising calculating, using the computer, inventory required at the end node to satisfy the demand percentage.
12. The method of claim 11 , further comprising generating, using the computer, a demand for any node upstream from the end node.
13. A system of optimizing inventory, comprising:
a database configured to store one or more end node demand streams in a supply chain, each end node demand stream comprising a time series of demands at an end node in the supply chain forecasted over one or more time periods;
a computer system coupled with the database and configured to:
organize one or more order lead time groups that characterize an order lead time of each of the one or more end node demand streams;
calculate an order lead time probability distribution for each order lead time group;
retrieve a supply path in the supply chain for the end node of each end node demand stream;
calculate a cumulative supply lead time for each inventory-carrying node upstream from the end node in the supply path of each end node demand stream;
divide the order lead time probability distribution of each order lead time group into order lead time segments corresponding to each supply lead time, each order lead time segment representing a portion of the supply chain that allows for distribution of order lead times and demand upstream in the supply chain;
redistribute demand to at least one of the order lead time segments upstream in the supply chain for each of the one or more end node demand streams; and
calculate inventory targets at each inventory-carrying node in the supply chain.
14. The system of claim 13 , wherein the computer system is further configured to identify each end node demand stream by one or more of a unique combination of product being sold, a location from where product is being shipped, customer, and customer location.
15. The system of claim 14 , wherein organize the one or more order lead time groups comprises categorize one or more order lead time groups according to features that affect the order lead time of customers, products or locations.
16. The system of claim 15 , wherein the computer system is further configured to identify the features that affect the order lead time with a lead time history.
17. The system of claim 13 , wherein the computer system is further configured to calculate a specified confidence level from each upstream inventory-carrying node for each supply path.
18. The system of claim 13 , wherein the computer system is further configured to establish the order lead time segments with one or more cycle times, each cycle time comprising a difference in time between when an item arrives and a node in the supply and chain and leaves the node in the supply chain.
19. The system of claim 13 , wherein the computer system is further configured to:
determine an order lead time profile by identifying the one or more lead time groups;
select the order lead time profile that corresponds to the one or more lead time groups identified; and
modify the order lead time profile.
20. The system of claim 19 , wherein the computer system is further configured to calculate a demand percentage split for each order lead time segment.
21. The system of claim 20 , wherein the computer system is further configured to postpone safety stock inventory to one or more nodes upstream from the end node in the supply chain.
22. The system of claim 21 , wherein redistribute demand to the at least one of the order lead time segments comprises redistribute the demand to the at least one of the order lead time segments by estimating a demand percentage for each order lead time segment, the demand percentage comprising a percentage of demand required to be satisfied during the order lead time segment in order to satisfy customer demand within constraints of the order lead time profile.
23. The system of claim 22 , wherein the computer system is further configured to calculate inventory required at the end node to satisfy the demand percentage.
24. The system of claim 23 , wherein the computer system is further configured to generate a demand for any node upstream from the end node.
25. A non-transitory computer-readable medium embodied with software for optimizing inventory, the software when executed using a computer is configured to:
generate one or more end node demand streams in a supply chain, each end node demand stream comprising a time series of demands at an end node in the supply chain forecasted over one or more time periods;
organize one or more order lead time groups that characterize an order lead time of each of the one or more end node demand streams;
calculate an order lead time probability distribution for each order lead time group;
retrieve a supply path in the supply chain for the end node of each end node demand stream;
calculate a cumulative supply lead time for each inventory-carrying node upstream from the end node in the supply path of each end node demand stream;
divide the order lead time probability distribution of each order lead time group into order lead time segments corresponding to each supply lead time, each order lead time segment representing a portion of the supply chain that allows for distribution of order lead times and demand upstream in the supply chain;
redistribute demand to at least one of the order lead time segments upstream in the supply chain for each of the one or more end node demand streams; and
calculate inventory targets at each inventory-carrying node in the supply chain.
26. The computer-readable medium of claim 25 , wherein the software is further configured to identify each end node demand stream by one or more of a unique combination of product being sold, a location from where product is being shipped, customer, and customer location.
27. The computer-readable medium of claim 26 , wherein organize the one or more order lead time groups comprises categorize one or more order lead time groups according to features that affect the order lead time of customers, products, or locations.
28. The computer-readable medium of claim 27 , wherein the software is further configured to identify the features that affect the order lead time with a lead time history.
29. The computer-readable medium of claim 25 , wherein the software is further configured to calculate a specified confidence level from each upstream inventory-carrying node for each supply path.
30. The computer-readable medium of claim 25 , wherein the software is further configured to establish the order lead time segments with one or more cycle times, each cycle time comprising a difference in time between when an item arrives and a node in the supply and chain and leaves the node in the supply chain.
31. The computer-readable medium of claim 25 , wherein the software is further configured to:
determine an order lead time profile by identifying the one or more lead time groups;
select the order lead time profile that corresponds to the one or more lead time groups identified; and
modify the order lead time profile.
32. The computer-readable medium of claim 31 , wherein the software is further configured to calculate a demand percentage split for each order lead time segment.
33. The computer-readable medium of claim 32 , wherein the software is further configured to postpone safety stock inventory to one or more nodes upstream from the end node in the supply chain.
34. The computer-readable medium of claim 33 , wherein redistribute demand to the at least one of the order lead time segments comprises redistribute the demand to the at least one of the order lead time segments by estimating a demand percentage for each order lead time segment, the demand percentage comprising a percentage of demand required to be satisfied during the order lead time segment in order to satisfy customer demand within constraints of the order lead time profile.
35. The computer-readable medium of claim 34 , wherein the software is further configured to calculate inventory required at the end node to satisfy the demand percentage.
36. The computer-readable medium of claim 35 , wherein the software is further configured to generate a demand for any node upstream from the end node.