Abstract: The disclosure describes a system for executing schedules in a manufacturing execution system (MES). In some embodiments, the system is configured to enable multiple shift patterns to be entered for a single entity. In some embodiments, the system is configured to prioritize the shift patterns based on an execution time. In some embodiments, the system includes one or more of a schedule pattern table, a schedule template, and an entity table, which are linked to each other to define parameters of one or more schedules. In some embodiments, the system is configured to automatically assign a time zone the time entered that matches the time zone where the entity associated with the schedule is located.

Abstract: In some embodiments, the system is directed to an architecture that prevents transactional deadlocks by decoupling tables such that no transaction attempts to access the same table at the same time. In some embodiments, the system can identify an instance of a job running on an entity from a single record in the job history table without combing/truncating one or more records from an old schema. In some embodiments, the system improves performance by calculating the duration of a single job run on an entity from job history data as opposed to storing multiple data points during the time interval.

Abstract: A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.

Abstract: A manufacturing execution system (MES) for providing an indication of the performance of the line. The MES includes a configuration module for modeling entities and lines containing the entities. The MES also includes a runtime module configured to determine the entities on the line whose production can be extrapolated to evaluate the performance of the line. In some cases, the MES determines which of the entities on the line limits the performance of the line; in other cases, the MES determines which of the entities has a production amount that best represents that of the line. The MES is operatively connected to field inputs associated with the entities that provide production data for the entities. Using the production data for the entities chosen to represent the line, the MES generates production metrics representative of the performance of the line and displays them to MES users.

Abstract: A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.

Abstract: A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.

Abstract: A manufacturing execution system (MES) for providing an indication of the performance of the line. The MES includes a configuration module for modeling entities and lines containing the entities. The MES also includes a runtime module configured to determine the entities on the line whose production can be extrapolated to evaluate the performance of the line. In some cases, the MES determines which of the entities on the line limits the performance of the line; in other cases, the MES determines which of the entities has a production amount that best represents that of the line. The MES is operatively connected to field inputs associated with the entities that provide production data for the entities. Using the production data for the entities chosen to represent the line, the MES generates production metrics representative of the performance of the line and displays them to MES users.

Abstract: A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.