Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for scenario management. The system includes a database configured to store data describing a plurality of scenarios, each scenario comprising one or more fields and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database; the server accesses the data describing the plurality of scenarios and accesses the data describing the supply chain network. The server further traverses the one or more fields of the plurality of scenarios until a value is determined and stores the determined value in the database for each of the one or more fields of the plurality of scenarios.

Abstract: A system and method is disclosed for scenario management. The system includes a database configured to store data describing a plurality of scenarios, each scenario comprising one or more fields and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database; the server accesses the data describing the plurality of scenarios and accesses the data describing the supply chain network. The server further traverses the one or more fields of the plurality of scenarios until a value is determined and stores the determined value in the database for each of the one or more fields of the plurality of scenarios.

Abstract: A system and method is disclosed for providing nested bucketization in a supply chain network. The system includes a server coupled with a database and configured to access data describing a time horizon of a specified time interval. The server is further configured to create an on-hand inventory profile which comprises a set of (day, quantity) pairs, stored in a linked list within a data structure involving nested buckets, wherein the on-hand inventory profile points to an empty link list when first created and store the on-hand inventory profile in the database.

Abstract: A system and method is disclosed for providing nested bucketization in a supply chain network. The system includes a server coupled with a database and configured to access data describing a time horizon of a specified time interval. The server is further configured to create an on-hand inventory profile which comprises a set of (day, quantity) pairs, stored in a linked list within a data structure involving nested buckets, wherein the on-hand inventory profile points to an empty link list when first created and store the on-hand inventory profile in the database.

Abstract: A system and method is disclosed for providing nested bucketization in a supply chain network. The system includes a server coupled with a database and configured to access data describing a time horizon of a specified time interval. The server is further configured to create an on-hand inventory profile which comprises a set of (day, quantity) pairs, stored in a linked list within a data structure involving nested buckets, wherein the on-hand inventory profile points to an empty link list when first created and store the on-hand inventory profile in the database.

Abstract: A system and method is disclosed for scenario management. The system includes a database configured to store data describing a plurality of scenarios, each scenario comprising one or more fields and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database; the server accesses the data describing the plurality of scenarios and accesses the data describing the supply chain network. The server further traverses the one or more fields of the plurality of scenarios until a value is determined and stores the determined value in the database for each of the one or more fields of the plurality of scenarios.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.