Asset Deployment Scheduling for Multi-Project Revenue Optimization
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Solution Overview
Problem
Efficient deployment of assets across multiple projects is challenging due to limited availability, necessitating improved planning systems to maximize asset utilization and project completion while minimizing resource use.
Innovation Solution
A planning system that receives project and asset data, employs optimization algorithms to determine deployment schedules, and identifies optimal subsets of projects to be completed using heuristic methods to minimize asset usage and maximize revenue, while accounting for shipping times and priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual asset deployment planning is used, then flexibility in decision-making is maintained, but planning time and computational resources increase significantly
Solution Approach 1:
The patent replaces manual mechanical planning processes with an automated optimization system that uses algorithms to determine asset deployment schedules. The system substitutes human decision-making with computational methods that process project and asset data to generate optimized schedules, thereby increasing planning speed while managing complexity through systematic algorithmic approaches.
Solution Approach 2:
The system changes the parameters of asset deployment by optimizing schedules based on multiple factors including project priorities, asset availability, and shipping times. The optimization algorithm adjusts deployment parameters dynamically to maximize project completion while minimizing asset usage, transforming manual parameter selection into automated parameter optimization.
2Reliability
If more assets are deployed to ensure project completion, then project reliability improves, but asset utilization efficiency decreases
Solution Approach 1:
The optimization system applies partial action by selectively deploying only the necessary number of assets required for project completion rather than over-provisioning. The algorithm calculates the minimum adequate asset allocation based on project requirements and shipping constraints, avoiding excessive asset deployment while ensuring reliable project completion.
Solution Approach 2:
The system incorporates feedback mechanisms where project status and asset availability are continuously monitored and fed back into the optimization algorithm. This feedback loop allows the system to adjust deployment schedules dynamically, ensuring reliable project completion while optimizing asset utilization efficiency through continuous adaptation to changing conditions.
3Manufacturing precision
If detailed deployment schedules are created for all assets, then planning precision improves, but computational time and resources increase
Solution Approach 1:
The patent segments the asset deployment planning into distinct optimization modules that handle different asset types and project categories separately. This segmentation allows the system to create detailed schedules with high precision for each segment while reducing overall computational time by processing manageable portions of the problem independently rather than tackling the entire deployment schedule as one monolithic optimization problem.
Data Source
AI summary
A method may include receiving, via one or more processors, a first dataset associated with a plurality of projects that corresponds to performing hydrocarbon exploration or processing operations. The method may then involve receiving a second dataset associated with a plurality of assets, such that at least a portion of the plurality of assets is used to complete at least a portion of the plurality of projects. The method may also involve determining a plurality of schedules for deploying the at least a portion of the plurality of assets for use with the at least a portion of the plurality of projects, identifying a portion of the plurality of schedules based on an optimization algorithm with respect to revenue, and sending a notification indicative of the portion of the plurality of schedules to a computing device, wherein the computing device is configured to display the notification via an electronic display.