Resource Allocation Simulation with Location Constraints
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Solution Overview
Problem
Existing simulation models struggle to effectively simulate complex resource allocation strategies that consider attributes other than resource levels or priorities, such as location-specific constraints, leading to difficulties in enforcing allocation limits in scenarios like building construction or manufacturing processes.
Innovation Solution
A system and method for simulating resource allocation that incorporates a location limiting allocation strategy, which supports resource capacity schedules and request priorities while enforcing allocation limits based on the location of the work or a location-resource pair, allowing for more sophisticated resource allocation simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional resource allocation mechanisms using only resource capacities and request priorities are used, then the allocation process is simple and straightforward, but it is difficult or impossible to simulate complex allocation strategies that consider attributes other than resource levels or priorities
Solution Approach 1:
The patent segments the resource allocation mechanism into distinct components: resource definitions, request definitions, and allocation strategies. Each component can be independently configured and combined, allowing complex strategies to be built from simple, manageable pieces without overwhelming system complexity
Solution Approach 2:
The patent creates a universal allocation strategy interface that can handle multiple allocation strategies (priority-based, location-based, capacity-based, and custom strategies) through a common framework. This allows the system to adapt to different allocation needs without requiring separate mechanisms for each strategy type
2Manufacturing precision
If location-specific constraints and allocation limits are enforced, then the simulation accuracy and realism are improved, but the difficulty of implementing and managing the allocation strategy increases
Solution Approach 1:
The patent applies local quality by allowing different allocation constraints and parameters to be defined for specific locations, resources, and request types. Each location can have its own capacity limits, and each resource can have location-specific allocation rules, enabling precise control without requiring a complete redesign of the overall allocation system
Solution Approach 2:
The patent introduces an allocation strategy object as an intermediary between the resource management system and the actual allocation decisions. This intermediary layer handles the complexity of enforcing location-specific constraints and allocation limits, while presenting a simplified interface to the rest of the system
3Adaptability or versatility
If dynamic priority adjustment is used to enforce allocation limits, then allocation flexibility is improved, but the system becomes more complex and difficult to manage
Solution Approach 1:
The patent implements dynamics by allowing allocation strategies to adapt priorities dynamically based on current system state, location constraints, and resource availability. The system can adjust priorities in real-time without requiring manual intervention, maintaining flexibility while automating the management complexity
Data Source
AI summary
A system and method for simulating resource allocation, where the allocation strategies which can be simulated include those of prior art but also include a large class of important allocation strategies that are not possible or not easy to simulate using prior art techniques and systems is described. A location limiting allocation strategy is also described. This strategy supports resource capacity schedules and request priorities as supported by prior art, but simultaneously supports the enforcement of allocation limits applied to a property expressed in the allocation request, namely the location of the work to be performed, or a location, resource pair to perform the work.