Abstract: Embodiments of the technique disclosed include a computer-based system and method for creating schedules that matches total supply of clinicians with the projected demand in services as well as meet plurality of constraints that consists of scheduling rules and clinician availability/preferences of varying weighted values to ensure work-life balance and thereby avoid staff burnout. In some embodiments, the system predicts the demand in appointments and the capacity of clinicians based on past data, leading to greater accuracies for subsequent schedule creations.

Abstract: A constraint-based framework models and solves the problem of assigning staff to various work-shifts or work-assignments, for example a day shift and a night shift, for a pre-defined scheduling horizon, for example three months. A work-schedule is produced, which is defined as a list of staff-shift or staff-assignment combinations that meet the various criteria set by the staff and the healthcare facility on how the staff need to work. The staff then uses this work-schedule to perform the needed activities for the amount of time specified by the scheduling horizon. The scheduling problem is modeled with the help of constraints and variables to express the physical constraints specified by the staff on their work schedules and the needs of the healthcare facility. By embedding the scheduling model within a software program, a work-schedule is produced quickly that meets the requirements of the staff and the healthcare facility.

Abstract: A constraint-based framework models and solves the problem of assigning staff, for example a set of cardiologists, to various work-shifts or work-assignments, for example a day shift and a night shift, for a pre-defined scheduling horizon, for example three months. A work-schedule is produced, which is defined as a list of staff-shift or staff-assignment combinations that meet the various criteria set by the staff and the healthcare facility on how the staff need to work. The staff then uses this work-schedule to perform the needed activities for the amount of time specified by the scheduling horizon. The scheduling problem is modeled with the help of constraints and variables to express the physical constraints specified by the staff on their work schedules and the needs of the healthcare facility. By embedding the scheduling model within a software program, a work-schedule is produced quickly that meets the requirements of the staff and the healthcare facility.

Abstract: Embodiments of a method of optimally scheduling, in near real-time, workunits for processing on processing stations in a processing system, while accounting for constraints such as processing station qualifications by workunit type and service type, and to meet certain business objectives such as cycle time and demand targets, are described. A method of scheduling the processing of workunits in a processing system comprises defining a plurality of workunits, aggregating the work units by workunit type and service to be performed on each workunit to define one or more workunit type-service type groupings. The method further allocates capacity of one or more processing stations to workunit type-service type groupings, assigns workunits of the plurality of workunits to meet the allocated capacity, and sequences the workunit type-service type groupings and workunits on each processing station of the one or more processing stations. Other embodiments are described and claimed.

Abstract: Execution control systems for optimizing the efficiency of manufacturing processes are described in this application. For example, an execution management system may optimize IC processes and scheduling by analyzing a number of desired metrics along with system constraints, such as tool availability, tool reliability, etc, along with information from conventional processing tools such as APC and SPC. The optimized processing schedule may then be implemented in real-time and updated with new process requests and current information relating to tools and other metrics, thereby reducing human interaction and inefficiency. Other embodiments are also described in this application.

Abstract: Embodiments of a method of optimally scheduling, in near real-time, workunits for processing on processing stations in a processing system, while accounting for constraints such as processing station qualifications by workunit type and service type, and to meet certain business objectives such as cycle time and demand targets, are described. A method of scheduling the processing of workunits in a processing system comprises defining a plurality of workunits, aggregating the work units by workunit type and service to be performed on each workunit to define one or more workunit type-service type groupings. The method further allocates capacity of one or more processing stations to workunit type-service type groupings, assigns workunits of the plurality of workunits to meet the allocated capacity, and sequences the workunit type-service type groupings and workunits on each processing station of the one or more processing stations. Other embodiments are described and claimed.