Operational Efficiencies & Traceability Improvement Initiative

Project Lead: Tyson Foods
Partners: ThinkIQ

Member % Cost Share: 50%
CESMII % Cost Share: 50%
Duration: 6 Months

Problem Statement

Operational Efficiencies & Product Innovation Traceability

Project Goal

The stated goals of Tyson Foods is to enhance yields in the Hanceville, AL rendering facility while optimizing available material streams to increase processing throughput and lower overall production costs per unit, while maintaining finished goods quality. The intent of this project is to provide the tools and analytics to enable Tyson to make smart manufacturing decisions based on facts in context of material flows and manufacturing operations.

The project will leverage a baseline measurement for a fixed time period for each originating facility metrics, re: protein, moisture, and other attributes, such as: product weights (truck weights) product weighted into Hanceville, loss from the Hanceville processing facility, as Tyson pays suppliers for product, not additives, re: water, etc.

Technical Approach

This project will span 4 months and consist of 6 major tasks:

Governance
Cloud-based Infrastructure
Site Configuration
Reporting and Analysis
Empowerment

Deliverables/Outcomes/SM Marketplace

Complete platform setup including installing connectors to plant data sources and validating data integrity
Complete configuration of the SMIP and ThinkIQ system functionality
SMIP installed, configured and tested
Smart Manufacturing Profile for Rendering Manufacturing Operations developed and documented
Yield reporting and analysis functionality designed, implemented, and tested
Food processing equipment SM profiles
Energy consumption models

Potential Impact

This project provides validation of the CESMII Platform in a protein-based food processing environment at a line level to demonstrate viable operations, connected to the process w/ timely time-to-value based on variance reduction, yield, and throughput increases, as well as, creating profiles pertinent to the equipment (equipment types).

Benefits

The resulting model created with this project will create profiles pertinent to the equipment (equipment types) and is strongly aligned with CESMII’s mission.