Abstract: A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object.

Abstract: A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object.

Abstract: A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object.

Abstract: A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

Abstract: Methods and systems for providing a user interface to be displayed for management of parts production and delivery statuses and delivery statuses are provided. A method includes causing a user interface to be displayed on a computing system. The user interface includes a status list including one or more entries. Each entry corresponds to a parts unit and references one or more parts unit identifying datasets. Each entry indicates a production status including one or more sub-production statuses and a dispatching status, and a delivery status including a requested delivery time window and a forecasted delivery time for the parts unit. Each of the one or more sub-production statuses indicates at least one of a status of a sub-parts of the parts unit and a status of a sub-process to produce the parts unit.

Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

Abstract: A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

Abstract: A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object.

Abstract: Methods and systems for providing a user interface to be displayed for management of parts production and delivery statuses and delivery statuses are provided. A method includes causing a user interface to be displayed on a computing system. The user interface includes a status list including one or more entries. Each entry corresponds to a parts unit and references one or more parts unit identifying datasets. Each entry indicates a production status including one or more sub-production statuses and a dispatching status, and a delivery status including a requested delivery time window and a forecasted delivery time for the parts unit. Each of the one or more sub-production statuses indicates at least one of a status of a sub-parts of the parts unit and a status of a sub-process to produce the parts unit.

Abstract: Methods and systems for providing a user interface to be displayed for management of parts production and delivery statuses and delivery statuses are provided. A method includes causing a user interface to be displayed on a computing system. The user interface includes a status list including one or more entries. Each entry corresponds to a parts unit and references one or more parts unit identifying datasets. Each entry indicates a production status including one or more sub-production statuses and a dispatching status, and a delivery status including a requested delivery time window and a forecasted delivery time for the parts unit. Each of the one or more sub-production statuses indicates at least one of a status of a sub-parts of the parts unit and a status of a sub-process to produce the parts unit.

Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.