Dynamic Resource Entity Simulation for Constrained Process Modeling
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Solution Overview
Problem
Existing resource management simulations struggle to effectively model and manage resource-constrained processes, particularly in complex scenarios where multiple types of resources are required simultaneously, due to limitations in representing resources as static entities or assuming homogeneity, which hinders accurate modeling of preemption and scheduling.
Innovation Solution
The system models resources as special entities that can flow through the simulation model, allowing for hierarchical organization and dynamic allocation, preemption, and scheduling, using a control hierarchy and resource entity rules to manage resources and their attributes, enabling flexible representation of stationary and mobile resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If resources are modeled as static entities or assumed homogeneous, then the simulation model is simpler to implement, but the ability to accurately model preemption and scheduling in complex scenarios is reduced
Solution Approach 1:
The patent applies the dynamics principle by transforming static resource entities into dynamic entities that can flow through the simulation model. Resources are no longer fixed in position or state but can be seized, released, and reallocated dynamically. This allows the simulation to accurately model preemption and scheduling behaviors where resources change ownership and location over time, resolving the contradiction between implementation simplicity and modeling accuracy.
Solution Approach 2:
The patent segments resources into distinct entity types with specific attributes and behaviors. Rather than treating all resources as homogeneous, the system divides them into controllable entities that can be individually tracked, seized, and released. This segmentation enables accurate modeling of complex resource constraints while maintaining manageable complexity through structured entity definitions.
2Reliability
If resources are modeled as flowing entities with hierarchical organization, then the accuracy of resource-constrained process simulation is improved, but the complexity of the simulation model increases
Solution Approach 1:
The patent applies universality by creating a unified resource entity framework that handles multiple resource types and behaviors through a common structure. The same entity mechanisms manage both stationary and mobile resources, as well as preemption and scheduling operations. This universal approach reduces model complexity by avoiding separate specialized structures for each resource scenario, thereby resolving the contradiction between accuracy and complexity.
Solution Approach 2:
The resource entities in the patent are designed to be self-managing through automated seizure, release, and scheduling mechanisms. The control hierarchy enables resources to autonomously navigate the simulation model and manage their own allocation states without requiring complex external control structures. This self-service capability reduces overall model complexity while maintaining high simulation accuracy.
3Adaptability or versatility
If multiple types of resources are required to be seized and released dynamically, then the ability to model complex scenarios is improved, but the difficulty of managing resource allocation and scheduling increases
Solution Approach 1:
The patent introduces control hierarchies as intermediary structures that mediate between resource entities and the simulation model. These hierarchies provide a systematic interface for seizing and releasing resources, managing allocation states, and coordinating scheduling operations. The intermediary control structures simplify resource management by abstracting complex allocation logic into manageable hierarchical relationships, resolving the contradiction between flexibility and ease of operation.
Data Source
AI summary
Computer-implemented systems and methods are provided for simulation of a resource constrained process. Controlling entity definition data is received, wherein a controlling entity is configured to control resources using a control hierarchy. Resource definition data is received and populated into a resource data structure, wherein the resource is configured to control other resources using the control hierarchy. The resource constrained process is simulated, wherein simulating the resource constrained process includes propagating the controlling entity through the simulation of the resource constrained process, wherein the resource constrained process contains a plurality of stages, at a stage, associating a first resource with the controlling entity using the control hierarchy when the first resource is not allocated to another entity and the first resource fulfills the one or more resource rules, and generating simulation metrics as the controlling entity propagates through the simulation of the resource constrained process.