Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A system and method is disclosed for determining root cause constraints and resolution options to solve order promising exceptions. The system includes a database storing order promise data associated with one or more enterprises. The system further includes a computer coupled with the database, the computer is configured to receive an order promise from the one or more enterprises, define one or more constraints, and create one or more strategy models comprising one or more strategy changes. The computer is further configured to execute the one or more strategy models to relax the one or more constraints using the one or more strategy changes and generate a report of the reasons for lateness and shortness of the order promise and store the generated report in the database.

Abstract: A system and method is disclosed for allocating products to one or more sellers. The system includes a database operable to store data associated with one or more enterprises. The system further includes an order promising system coupled with the database and operable to model the flow of the products through the one or more enterprises and allocate resources to the one or more sellers based on the modeled flow of the products.

Abstract: A method for synchronizing planning information in a high availability planning and scheduling architecture includes processing requests from one or more external systems (40) using an advanced planning and scheduling (APS) engine (22) included in a first primary high availability (HA) system (20a). The processing of requests includes modifying planning information stored in memory of the first primary HA system (20a) according to the requests. The method also includes storing change information reflecting the modifications to the planning information in a database (64) and extracting the change information from the database (64) at an extraction time. Furthermore, the method includes updating the planning information using the extracted change information and storing the updated planning information in memory of a second primary HA system (20a?).

Abstract: A high availability planning and scheduling system includes a number of high availability (HA) systems (20) that are coupled to one or more external systems (40) using a message bus (50). Each HA system (20) includes an HA server (24) that receives and queues requests received from the external systems (40). Each HA system (20) also includes an advanced planning and scheduling (APS) engine (22) that receives a request from the HA server (24) and processes the request using planning information stored in memory of the HA system (20). Furthermore, the APS engine (22) also modifies the planning information according to the processing of the request and generates a response to the external system (40) from which the request originated. The high availability planning and scheduling system further includes a message manager (54) that directs each request received from the external systems (40) to an appropriate HA system (20) using the message bus (50).

Abstract: A method for synchronizing planning information in a high availability planning and scheduling architecture includes processing requests from one or more external systems (40) using an advanced planning and scheduling (APS) engine (22) included in a first primary high availability (HA) system (20a). The processing of requests includes modifying planning information stored in memory of the first primary HA system (20a) according to the requests. The method also includes storing change information reflecting the modifications to the planning information in a database (64) and extracting the change information from the database (64) at an extraction time. Furthermore, the method includes updating the planning information using the extracted change information and storing the updated planning information in memory of a second primary HA system (20a′).

Abstract: A high availability planning and scheduling system includes a number of high availability (HA) systems (20) that are coupled to one or more external systems (40) using a message bus (50). Each HA system (20) includes an HA server (24) that receives and queues requests received from the external systems (40). Each HA system (20) also includes an advanced planning and scheduling (APS) engine (22) that receives a request from the HA server (24) and processes the request using planning information stored in memory of the HA system (20). Furthermore, the APS engine (22) also modifies the planning information according to the processing of the request and generates a response to the external system (40) from which the request originated. The high availability planning and scheduling system further includes a message manager (54) that directs each request received from the external systems (40) to an appropriate HA system (20) using the message bus (50).