Entity-Based Manufacturing Resource Planning
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Solution Overview
Problem
Traditional manufacturing resource planning systems are inadequate in managing supply and demand for resources within manufacturing facilities, leading to inefficiencies and increased inventory costs due to a lack of granularity in resource allocation.
Innovation Solution
A method for manufacturing resource planning that identifies and manages resources on an entity-by-entity basis, using a planning tool to track and schedule resource availability and usage within manufacturing facilities, allowing for precise allocation and ordering of resources based on supply and demand information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional factory-wide resource planning is used, then system simplicity is maintained, but planning accuracy and resource allocation efficiency deteriorate
Solution Approach 1:
The patent segments the manufacturing facility into multiple logical entities (work centers, production lines, or departments), each with its own resource inventory and demand profile. This segmentation enables entity-by-entity tracking of resource availability and planning, transforming the monolithic factory-wide planning approach into a modular system that can accurately plan at the entity level while maintaining overall system coherence through integrated scheduling.
2Productivity
If entity-by-entity resource tracking is implemented, then resource allocation efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements a universal planning tool that handles multiple functions: tracking resource inventories at entity level, receiving and processing demand information, identifying available resources, and scheduling manufacturing activities. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated platform, improving resource allocation efficiency while managing system complexity through functional consolidation rather than proliferation of separate systems.
3Measurement precision
If detailed entity-level supply information is maintained, then planning accuracy improves, but data management complexity increases
Solution Approach 1:
The patent maintains detailed supply information at the entity level, recognizing that each logical entity has unique resource characteristics, inventory levels, and demand patterns. By localizing data management to match the organizational structure of logical entities, the system achieves high planning accuracy for each entity while managing overall data complexity through structured organization and targeted data collection only where needed at each entity level.
Data Source
AI summary
A method for manufacturing resource planning includes identifying multiple logical entities within a manufacturing facility; receiving supply information for each of the logical entities, the supply information for a particular logical entity including current and projected future inventories of resources assigned to the particular logical entity for use in manufacturing products; receiving demand information associated with manufacture of a requested product; identifying resources for use in manufacturing the requested product; and scheduling manufacture of the requested product using the identified resources at least one of the logical entities at least partially based on the supply information and the demand information.


