Abstract: A method includes processing each of a plurality of lots with at least one first equipment and moving some of the plurality of lots to a first storage. For each of a plurality of second equipments, an expected dispatch time of one or more next lots for processing by the second equipment is determined. Each of the lots in the first storage is assigned to one of the plurality of second equipments on the basis of at least the determined expected dispatch times and moved to one of a plurality of second storages that is associated with one of the plurality of second equipments to which the respective lot was assigned. For each of the plurality of second equipments, each of the lots in the second storage associated with the second equipment is moved to the second equipment and are processed with the second equipment.

Abstract: A method includes processing each of a plurality of lots with at least one first equipment and moving some of the plurality of lots to a first storage. For each of a plurality of second equipments, an expected dispatch time of one or more next lots for processing by the second equipment is determined Each of the lots in the first storage is assigned to one of the plurality of second equipments on the basis of at least the determined expected dispatch times and moved to one of a plurality of second storages that is associated with one of the plurality of second equipments to which the respective lot was assigned. For each of the plurality of second equipments, each of the lots in the second storage associated with the second equipment is moved to the second equipment and are processed with the second equipment.

Abstract: By defining a section-related WIP limit or a throughput-related WIP limit, an efficient “look ahead” characteristic may be established to efficiently control the WIP in a complex manufacturing environment, such as a semiconductor facility. The respective critical WIP values may enable efficient reduction of priority of products moving towards an increased WIP queue, thereby reducing or substantially avoiding the release of products that are expected to run into the WIP queue. In this way, the efficiency of shared tools may be increased, since process capacity no longer required for the processing products running into WIP queues may be allocated for other operations.

Abstract: Metrology data associated with a plurality of workpieces processed at a selected operation in the process flow including a plurality of operations is retrieved. A processing context associated with each of the workpieces is determined. The processing context identifies at least one previous tool used to perform an operation on the associated workpiece prior to the selected operation. A plurality of performance metrics is determined for a plurality of tools capable of performing the selected operation based on the metrology data. Each performance metric is associated with a particular tool and a particular processing context. A set of the performance metrics is identified for the plurality of tools having a processing context matching a processing context of a selected workpiece awaiting performance of the selected operation. The selected workpiece is dispatched for processing in a selected one of the plurality of tools based on the set of performance metrics.

Abstract: By simulating a manufacturing environment on the basis of appropriate simulation models, a schedule may be established in which process restrictions, tool availability and product entity status are automatically taken into consideration. Moreover, by estimating the process flow efficiency provided by a simulated time progression of the process flow in the environment, an optimized schedule may be established, which may be accomplished by identifying less efficient product entities and re-scheduling one or more product entities in order to obtain an enhanced process flow efficiency. The technique of the present invention may be advantageously applied to the processing of advanced mass products requiring sophisticated process tools and process sequences, such as the processing of semiconductor devices.

Abstract: Metrology data associated with a plurality of workpieces processed at a selected operation in the process flow including a plurality of operations is retrieved. A processing context associated with each of the workpieces is determined. The processing context identifies at least one previous tool used to perform an operation on the associated workpiece prior to the selected operation. A plurality of performance metrics is determined for a plurality of tools capable of performing the selected operation based on the metrology data. Each performance metric is associated with a particular tool and a particular processing context. A set of the performance metrics is identified for the plurality of tools having a processing context matching a processing context of a selected workpiece awaiting performance of the selected operation. The selected workpiece is dispatched for processing in a selected one of the plurality of tools based on the set of performance metrics.

Abstract: By defining a section-related WIP limit or a throughput-related WIP limit, an efficient “look ahead” characteristic may be established to efficiently control the WIP in a complex manufacturing environment, such as a semiconductor facility. The respective critical WIP values may enable efficient reduction of priority of products moving towards an increased WIP queue, thereby reducing or substantially avoiding the release of products that are expected to run into the WIP queue. In this way, the efficiency of shared tools may be increased, since process capacity no longer required for the processing products running into WIP queues may be allocated for other operations.

Abstract: By simulating a manufacturing environment on the basis of appropriate simulation models, a schedule may be established in which process restrictions, tool availability and product entity status are automatically taken into consideration. Moreover, by estimating the process flow efficiency provided by a simulated time progression of the process flow in the environment, an optimized schedule may be established, which may be accomplished by identifying less efficient product entities and re-scheduling one or more product entities in order to obtain an enhanced process flow efficiency. The technique of the present invention may be advantageously applied to the processing of advanced mass products requiring sophisticated process tools and process sequences, such as the processing of semiconductor devices.