Abstract:
Methods, systems, and computer-readable and executable instructions are provided for resource planning. Resource planning can include identifying a resource capacity for a given resource planning horizon, identifying a resource pool guideline that defines a priority of resources from which to satisfy a full-time equivalent (FTE) resource planning requirement, and performing resource planning by satisfying the FTE requirement based on the resource capacity and the resource pool guideline.
Abstract:
Example methods, apparatus and articles of manufacture to determine work placement preferences are disclosed. A disclosed example method includes receiving, via a processor, a request for a resource to fill an open position within an organization, the request including a primary resource group for the open position, determining with the processor resource group preferences of resource groups using a structure of the organization that includes functional relationships between the resource groups, calculating weights for the resource group preferences based on respective organizational distances in the structure of the respective resource groups from the primary resource group, determining a target resource group with a greatest calculated weight for a resource group preference from among the resource groups that have at least one available resource, and selecting a resource within the target resource group to fill the open position.
Abstract:
A method of workforce plan evaluation includes receiving (110) a resource data (440) that includes data relating to employee resources, and data relating to a set of opportunities representing demand for employee resources; and receiving a workforce plan (450) associated with the resource data. A realization model configured to simulate effects of supply and demand uncertainty on the resource data is established (130) and executed (140) over a given time period (240) of the planning window (230) for which the workforce plan (450) is generated. The resource data (440) is transformed (150) according to the predictions of the resource model, and metrics configured to assess demand fulfillment and/or resource utilization achieved by the workforce plan under the realization model are computed (160).
Abstract:
Embodiments include methods, apparatus, and systems for planning workforce resources. One method includes defining workforce supply and uncertain workforce demand for plural different service projects using a set of skills that are preferred to complete the plural different service projects; and calculating costs to hire new employees having the set of skills versus costs to train existing employees to have the set of skills.
Abstract:
A workforce capacity and capability at an entity is optimized. Values for parameters related to the workforce capacity and capability at the entity are received. A workforce capacity and capability model is used to generate values for decision variables related to the workforce capacity and capability at the entity, based on the values for the parameters that have been received. The workforce capacity and capability model models uncertainty associated with a workforce. The values for the decision variables assist evaluation of workforce capacity and capability strategic decisions
Abstract:
One embodiment is a method that receives historical data of suppliers and applies, to the historical data, a mathematical optimization system that includes a set of mathematical equations and inequalities that express capabilities and capacities of the suppliers. The mathematical optimization system includes an objective function that minimizes a number of the suppliers to perform third-party labor services for an enterprise. The method selects a sub-set of the suppliers to perform the third-party labor services for the enterprise.
Abstract:
The present disclosure is directed to product warranties having a residual value and a potential rebate based on the residual value. The residual value can thus be inversely related to the number of claims filed against the warranty.
Abstract:
A report indicating a user-reported probability of a successful outcome is received. A behavior and information model is estimated based on the report. The behavior and information model includes a behavior model component having a bias parameter and a consistency parameter. The behavior and information model includes an information model component having a first user-believed probability of a successful outcome and a second user-believed probability of a successful outcome. The behavior and information model is used to yield a model-determined probability of a successful outcome that more accurately reflects a probability of a successful outcome than the user-reported probability of a successful outcome does.
Abstract:
A maximum expected value of a residual value warranty for a product to a customer is determined. An expected cost to a provider to support the residual value warranty for the customer is determined, based on the maximum expected value of the candidate residual value warranty to the customer. The expected profitability of the candidate residual value warranty is determined based on the expected cost.
Abstract:
A method for determining call center resource allocation can include modeling call center performance over an operations time period using a computer. A number of replicas of the modeled call center performance are simulated, using the computer, over a planning time period, each replica having random contact arrivals and contact service times following a stochastic arrival and service process according to a probability distributions of inter-arrival time and service time. Multiple iterations of each simulation are run on the computer to optimize call center resource allocation. A particular simulation iteration is tested against a criterion of convergence, and call center resource is allocated based on the particular simulation iteration with a successful criterion of convergence.