DYNAMIC SUPPLY CHAIN MANAGEMENT SYSTEMS AND METHODS
Embodiments relate to dynamic supply chain management systems and methods. The systems and methods can compile and decompose historical order data to identify causality factors that produced variability in historical order lead times or fill rates. These factors then can be applied to current orders to determine dynamic order lead time and dynamic order fill rate, and a characteristic of the order can be adjusted to provide more accuracy and reduced variability in the supply chain.
1 . A dynamic supply chain management system comprising:
a historical causality database comprising historical data related to external factors that affected a supply chain;
a historical order information database comprising historical data related to order information in the supply chain;
a current causality database comprising current or predicted data related to external factors affecting the supply chain;
a current order information database comprising order data related to a current order in the supply chain;
a supply chain management engine communicatively coupled with the historical causality database, the historical order information database, the current causality database, and the current order information database and configured to:
decompose the historical data related to external factors that affected a supply chain and the historical data related to order information in the supply chain to determine a plurality of factors, each of the plurality of factors having affected at least one of historical lead time and historical fill rate variability,
determine a current order lead time and a current order fill rate from the current or predicted data from the current causality database and the order data from the current order information database, and
apply an algorithm based on the plurality of factors to the determined current order lead time and current order fill rate to determine a dynamic order lead time and a dynamic order fill rate variability for the current order.
2 . The system of claim 1 , further comprising an order system communicatively coupled with the current order information database to provide the order data
3 . The system of claim 2 , wherein the order system is configured to apply the dynamic order lead time and the dynamic order fill rate variability to the current order.
4 . The system of claim 3 , wherein the order system is configured to change at least one characteristic of the current order based on the applied dynamic lead time and dynamic order fill rate variability.
5 . The system of claim 4 , wherein the at least one characteristic is at least one of an order date, an order quantity, a vendor, a distribution center, a mode of transport, a transport carrier, or an order destination.
6 . The system of claim 4 , wherein the supply chain management engine is configured to request authorization to make the change to at least one characteristic of the current order before entering the change.
7 . The system of claim 2 , wherein the supply chain management engine is configured to determine a raw aggregated lead time and a raw aggregated fill rate variability from the historical data related to external factors that affected a supply chain and the historical data related to order information in the supply chain, wherein the order system is configured to apply the raw aggregated lead time and the raw aggregated fill rate variability to the current order.
8 . The system of claim 7 , wherein the order system is configured to change at least one characteristic of the current order based on the applied raw aggregated lead time and raw aggregated fill rate variability.
9 . The system of claim 8 , wherein the at least one characteristic is at least one of an order date, an order quantity, a vendor, a distribution center, a mode of transport, a transport carrier, or an order destination.
10 . The system of claim 1 , further comprising a user interface communicatively coupled with the supply chain management engine and configured to present information about orders in which approval of circumstances related to the dynamic order lead time and the dynamic order fill rate is necessary.
11 . The system of claim 10 , wherein the user interface is configured to accept an approval or a disapproval in response to the presented information.
12 . The system of claim 1 , wherein the external factors relate to at least one of weather, holiday, mode of transport, transport carrier, event occurrence, or supply.
13 . The system of claim 1 , wherein the order information and the order relate to at least one of a day on which an order is placed, a season in which an order is placed, a month in which the order is placed, an order quantity, a product category, a distribution center, a destination, a vendor, a or production rate capability.
14 . A dynamic supply chain management method comprising:
compiling historical data related to external factors that affected a supply chain and historical data related to order information in the supply chain;
decomposing the historical data related to external factors that affected a supply chain and the historical data related to order information in the supply chain to determine a plurality of factors, each of the plurality of factors having affected at least one of historical lead time and historical fill rate variability;
obtaining data about a current order in the supply chain and determining a current order lead time and a current order fill rate for a current order; and
applying an algorithm based on the plurality of factors to the determined current order lead time and current order fill rate to determine a dynamic order lead time and a dynamic order fill rate variability for the current order.
15 . The method of claim 14 , further comprising applying the dynamic order lead time and the dynamic order fill rate variability to the current order.
16 . The method of claim 15 , further comprising changing at least one characteristic of the current order based on the applied dynamic lead time and dynamic order fill rate variability.
17 . The method of claim 16 , further comprising presenting, via a user interface, information about the changing before implementing the changing to obtain advance approval.
18 . The method of claim 14 , further comprising:
determining a raw aggregated lead time and a raw aggregated fill rate variability from the historical data related to external factors that affected a supply chain and the historical data related to order information in the supply chain; and
applying the raw aggregated lead time and the raw aggregated fill rate variability to the current order.
19 . The method of claim 18 , further comprising changing at least one characteristic of the current order based on the applied raw aggregated lead time and raw aggregated fill rate variability.
20 . The method of claim 19 , further comprising presenting, via a user interface, information about the changing before implementing the changing to obtain advance approval.
21 . The method of claim 14 , further comprising presenting, via a user interface, information about orders in which approval of circumstances related to the dynamic order lead time and the dynamic order fill rate is necessary.
22 . The method of claim 21 , further comprising accepting, via the user interface, an approval or a disapproval in response to the presenting.