Food Lot Traceability Using Probabilistic Batch Source Estimation
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Solution Overview
Problem
Existing warehouse and inventory management systems (WMS, IMS) struggle to consistently record and track batch lots and lot sources for food products, hindering compliance with FDA's FSMA 204 Food Traceability Rule, particularly in the final mile of the supply chain, where distributors and retailers lack infrastructure to trace contamination sources.
Innovation Solution
A data-driven approach using simulation models and probability theory to estimate batch lots and their sources in outbound orders, incorporating warehouse management system data and applying algorithms to calculate probabilities based on random or FIFO selection processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If warehouse and inventory management systems are used to track batch lots, then basic traceability information can be captured, but per-item batch lot and lot source tracking is inconsistent and incomplete
Solution Approach 1:
The system segments the tracking process into two levels: (1) case-level tracking using existing WMS/IMS infrastructure to capture batch lot information at the case level, and (2) item-level estimation using probability algorithms to determine the batch lot for individual items within cases. This segmentation allows the system to work within existing infrastructure limitations while still providing per-item traceability estimates.
Solution Approach 2:
The patent introduces an intermediary probabilistic estimation layer between the case-level WMS data and the item-level traceability requirement. Instead of directly tracking each item (which infrastructure doesn't support), the system uses probability algorithms as an intermediary to estimate item batch lots based on case-level data, warehouse rules, and selection patterns.
2Reliability
If distributors and retailers implement full batch lot tracking infrastructure, then complete traceability can be achieved, but system complexity and implementation cost increase significantly
Solution Approach 1:
The system enables self-service traceability estimation by using existing WMS/IMS data that distributors and retailers already collect for inventory management. The probability algorithms automatically process this existing data to generate batch lot estimates without requiring additional tracking hardware, sensors, or manual processes.
Solution Approach 2:
The patent makes existing WMS/IMS systems multi-functional by enabling them to serve both their traditional inventory management function and the new traceability estimation function. The same system that tracks inventory quantities and locations is also used to provide batch lot probability estimates, eliminating the need for a separate dedicated tracking infrastructure.
3Ease of operation
If random or FIFO selection processes are used for outbound orders, then warehouse operations are simplified, but batch lot identification for individual items becomes uncertain
Solution Approach 1:
The system incorporates feedback loops that continuously refine batch lot probability estimates. As more order fulfillment data becomes available, the system learns the actual selection patterns and uses this feedback to improve future batch lot predictions. The probability estimates are updated based on observed discrepancies between predicted and actual batch lots.
Solution Approach 2:
The system performs preliminary batch lot estimation before the actual picking process by analyzing warehouse rules, inventory arrangements, and historical selection patterns. This preliminary action creates probability estimates that guide the traceability process, allowing the system to prepare batch lot information in advance rather than attempting to determine it after the fact.
Data Source
AI summary
Systems, apparatuses, and methods that provide information relevant to trace a food or other product back to its source of production to protect the health of consumers during an outbreak of foodborne illness or to optimize supply chains for product freshness. Embodiments provide a way to better communicate traceability information to the final step of the present food chain (i.e., retail or foodservice outlet) than conventional approaches, which provide little, if any, capability to satisfy the requirements of the FDA and FSMA regulations.