SYSTEMS AND METHODS FOR SCHEDULING MULTI-SKILLED STAFF
First Claim
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1. An automatic facilities scheduling system, comprising:
- a plurality of facilities;
one or more databases;
one or more data collectors;
one or more processors; and
one or more computer storage mediums storing computer program modules adapted to execute on the one or more processors, the computer program modules comprisinga data collection module adapted to receive demand data from the one or more data collectors and store the demand data to the one or more databases, and produce a knowledge base including a record of historical demand,a demand prediction module adapted to generate a demand model indicative of future demand for the facilities over a time period, anda scheduling module adapted toreceive scheduling parameters including scheduling requirements, a first scheduling threshold, a second scheduling threshold, and a scheduling period,invoke the demand prediction module to generate a scheduling demand model during the scheduling period,create a first staffing schedule based on the scheduling requirements, the first scheduling threshold, and the scheduling demand model,create a second staffing schedule based on the scheduling requirements, the second scheduling threshold, and the scheduling demand model, andgenerate a composite staffing schedule based on the first and second staffing schedules, wherein the composite staffing schedule includes a flex-staff scheduling recommendation.
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Abstract
This disclosure provides systems and methods for generating staffing schedules. Some systems may be configured to generate staffing schedules including a flexible staffing recommendation indicative of a number and a time in which to schedule multi-skilled staff. In some examples, such staffing schedules can be generated based on a demand model generated based on historical demand data and scheduling thresholds.
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Citations
20 Claims
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1. An automatic facilities scheduling system, comprising:
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a plurality of facilities; one or more databases; one or more data collectors; one or more processors; and one or more computer storage mediums storing computer program modules adapted to execute on the one or more processors, the computer program modules comprising a data collection module adapted to receive demand data from the one or more data collectors and store the demand data to the one or more databases, and produce a knowledge base including a record of historical demand, a demand prediction module adapted to generate a demand model indicative of future demand for the facilities over a time period, and a scheduling module adapted to receive scheduling parameters including scheduling requirements, a first scheduling threshold, a second scheduling threshold, and a scheduling period, invoke the demand prediction module to generate a scheduling demand model during the scheduling period, create a first staffing schedule based on the scheduling requirements, the first scheduling threshold, and the scheduling demand model, create a second staffing schedule based on the scheduling requirements, the second scheduling threshold, and the scheduling demand model, and generate a composite staffing schedule based on the first and second staffing schedules, wherein the composite staffing schedule includes a flex-staff scheduling recommendation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for automatically generating a staffing schedule, the method comprising:
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collecting demand data from one or more data collectors, the demand data associated with a demand for a plurality of facilities; generating a knowledge base based on the demand data, the knowledge base including a record of historical demand; receiving the demand data and storing the demand data in one or more databases; receiving scheduling parameters including scheduling requirements, a first scheduling threshold, a second scheduling threshold, and a scheduling period; generating a scheduling demand model indicative of future demand for the facilities during the scheduling period; creating a first staffing schedule based on the scheduling requirements, the first scheduling threshold, and the scheduling demand model; creating a second staffing schedule based on the scheduling requirements, the second scheduling threshold, and the scheduling demand model; and generating a composite staffing schedule based on the first and second staffing schedules, wherein the composite staffing schedule includes a flex-staff scheduling recommendation. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for automatically generating a staffing schedule, the method embodied in a set of machine-readable instructions executed on a processor and stored on a tangible medium, the method comprising:
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collecting demand data from one or more data collectors, the demand data associated with a demand for a plurality of facilities; generating a knowledge base based on the demand data, the knowledge base including a record of historical demand; receiving the demand data and storing the demand data in one or more databases; receiving scheduling parameters including scheduling requirements, a first scheduling threshold, a second scheduling threshold, and a scheduling period; generating a scheduling demand model indicative of future demand for the facilities during the scheduling period; creating a first staffing schedule based on the scheduling requirements, the first scheduling threshold, and the scheduling demand model; creating a second staffing schedule based on the scheduling requirements, the second scheduling threshold, and the scheduling demand model; and generating a composite staffing schedule based on the first and second staffing schedules, wherein the composite staffing schedule includes a flex-staff scheduling recommendation.
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Specification