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Method and system for optimizing resource availability by balancing workload and skill sets using pooling

IP.com Disclosure Number: IPCOM000199318D
Publication Date: 2010-Aug-30
Document File: 2 page(s) / 44K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for optimizing resource availability by balancing an incoming workload and skill sets using pooling is disclosed. The method includes developing one or more pools of resources with common skill sets to perform a particular task. The method further includes matching an incoming workload to skill sets associated with resources by pooling the one or more pools in real time.

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Method and system for optimizing resource availability by balancing workload and skill sets using pooling

Disclosed is a method and system for optimizing resource availability by appropriately allocating workload to resources based on skills sets.

Current optimization methods and systems manually allocate workload based on skill, seniority and experience of resources. Example of resources may include an employee and an individual. Also, the current optimization methods and system depend on the gut feeling of team leaders and managers for allocating workload. The assessment of manual allocation using a feedback loop in order to make improvements in workload allocation is also not supported in the current optimization methods and systems. This results in over-selection of certain resources in the workload allocation process.

A method and system is proposed by the publication to optimize resource availability by appropriately allocating workload to resources based on their corresponding pools. A pool as disclosed herein comprises resources with common skill sets to perform a set of defined tasks. The skill sets define various capability characteristics associated with the resources in the pool. Examples of capability characteristics may include turnaround time, Service Level Agreement (SLA), type of work, technology, location, cost structure and Service/Business impact.

Each pool is further partitioned into smaller sub-pools based on work complexity that the resources can handle. Further, a flexi-pool may also be created for resources that were transitioned from other pools. The flexi-pool aids in mitigating the risk that is involved when resources are transitioned from one pool to another pool. Also, each pool can serve multiple customers with a clearly defined set of deliverables. The set of deliverables that a pool can serve are maintained in a delivery catalog specific to the pool.

In a scenario, an incoming workload is allocated to a pool by matching the workload to skill sets associated with resources in the pool in real time using the delivery catalog. In another scenario, the incoming workload may be allocated by analyzing the skill sets associated with other pools. As the incoming workload is allocated based on the skill sets associated with the pool,...