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TECHNIQUE FOR OPTIMAL ASSET UTILIZATION WITH THE AVOIDANCE OF RACE CONDITION

IP.com Disclosure Number: IPCOM000237011D
Publication Date: 2014-May-27
Document File: 7 page(s) / 51K

Publishing Venue

The IP.com Prior Art Database

Abstract

The invention proposes a technique to optimally allocate resources or assets in hospital environment to avoid race condition. The most common use of optimization models is restricted to economic domain due to problems which are non-linear in nature and also due to large number of non-linear interactions. The proposed invention provides more robust technique for generating optimal asset allocation or reallocation between departments in a hospital by using requirement of donor departments. The technique is generalized for asset allocation between entities in any enterprise. The technique includes a framework for avoiding race condition in the donor department by capturing patient profile based on a combination of methods of asset utilization, patient queuing theory and diagnostic related group.

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TECHNIQUE FOR OPTIMAL ASSET UTILIZATION WITH THE AVOIDANCE OF RACE CONDITION

FIELD OF INVENTION

The invention generally relates to an optimal asset allocation and more particularly to a technique to compute optimal asset allocation.

BACKGROUND OF THE INVENTION

In general, assets, such as, equipments and personnel allocation or reallocation is critical to optimal asset utilization in a hospital enterprise or any industry. The available approaches take advantage of visibility of the assets at the enterprise level and make allocation of the assets on the current availability basis. The problem with such technique is that it does not take into account future requirements of donor department, which results into a race condition. Consequently, overall efficiency decreases and results in under optimal asset utilization.

The asset allocation or re-allocation problem is an optimization problem where shortage of assets in one department Dk is filled by surplus assets from the rest of the departments such that the total cost of movement of the assets is minimal. Optimization problem involves searching for the best possible global solutions.

Hence there exists a need for an efficient technique for allocation of resources in hospital environment.

BRIEF DESCRIPTION OF THE INVENTION

The invention proposes a technique to optimally allocate resources or assets in hospital environment to avoid race condition. The most common use of optimization models is restricted to economic domain due to problems which are non-linear in nature and also due to large number of non-linear interactions. The proposed invention provides more robust technique for generating optimal asset allocation or reallocation between departments in a hospital by using requirement of donor departments. The technique is generalized for asset allocation between entities in any enterprise.


DETAILED DESCRIPTION OF THE INVENTION

The invention proposes a technique to optimally allocate resources or assets in hospital environment to avoid race condition. The most common use of optimization models is restricted to economic domain due to problems which are non-linear in nature and also due to large number of non-linear interactions. The proposed invention provides more robust technique for generating optimal asset allocation or reallocation between departments in a hospital by using requirement of donor departments. The technique is generalized for asset allocation between entities in any enterprise.

The technique includes a framework for avoiding race condition in the donor department by capturing patient profile based on a combination of methods of asset utilization, patient queuing theory and diagnostic related group.

The technique also includes an algorithm with time complexity that is scalable to be run in a real time environment. The asset allocation is an np-hard problem and is computationally difficult if not optimized properly. 

The problem is solved by using a genetic algorithm based approac...