Unified Dispatch System for Bulk Asset Hauling Optimization
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Solution Overview
Problem
Current optimization models for managing and transporting physical bulk assets, such as liquids, are fragmented and lack a unified system that can seamlessly integrate data across producers, carriers, and destinations, leading to inefficiencies in cost minimization and production maximization.
Innovation Solution
A comprehensive system that receives input data on inventory, production forecasts, and hauling capacity to generate optimized load and carrier assignment packages, utilizing multiple optimization models to streamline the dispatch process, ensuring seamless data sharing while maintaining data privacy between operators and carriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate optimization models are used for different aspects of bulk asset management, then specific optimization goals can be achieved, but system complexity increases and data integration becomes difficult
Solution Approach 1:
The patent combines multiple separate optimization models (inventory optimization, carrier assignment optimization, and routing optimization) into a single unified system. The server integrates these models to receive comprehensive input data and generate coordinated optimization outputs, thereby reducing system integration complexity while maintaining the reliability of each optimization function.
Solution Approach 2:
The unified optimization system performs multiple functions simultaneously: it optimizes inventory levels, assigns carriers to loads, and determines routing paths. This multi-functional approach allows a single system to handle various optimization aspects of bulk asset management, reducing the need for multiple separate systems and their associated integration complexities.
2Productivity
If comprehensive data sharing is implemented across producers and carriers, then optimization efficiency improves, but data privacy concerns increase
Solution Approach 1:
The server acts as an intermediary between producers and carriers, receiving input data from both parties and processing it through optimization models. This intermediary approach enables comprehensive data sharing for optimization purposes while protecting data privacy, as the server handles data processing without requiring direct exposure of sensitive information between trading partners.
3Ease of operation
If manual dispatch processes are used, then operational control is maintained, but time consumption and labor costs increase
Solution Approach 1:
The system implements self-service optimization by automatically receiving input data, processing it through optimization models, and generating output recommendations without requiring manual intervention. The server autonomously performs inventory optimization, carrier assignment, and routing calculations, significantly reducing dispatch time while maintaining operational control through automated decision-support.
Solution Approach 2:
The patent replaces manual mechanical dispatch processes with an automated computer-based system. The server executes optimization algorithms and generates dispatch recommendations automatically, substituting human manual operations with computational processes that are faster and more efficient while maintaining operational control through systematic analysis.
Data Source
AI summary
Utilities (e.g., systems, methods, etc.) that deliver a streamlined process to users for making decisions that minimize cost and maximize production in the hauling of produced physical bulk assets (e.g., liquids, sand, etc.) to various destinations. The utilities can be used by producers and carriers in various manners to drive their unique interests in hauling and has representation for production operators or producers, carriers, and destinations.