Case Studies Feeding Operational Intelligence to Those Who Can Take Action

Edit This Case Study Record

	Feeding Operational Intelligence to Those Who Can Take Action

Feeding Operational Intelligence to Those Who Can Take Action

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Manufacturing Execution Systems (MES) Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Food & Beverage
Applicable Functions	Business Operation Process Manufacturing Quality Assurance
Use Cases	Digital Twin Predictive Maintenance Process Control & Optimization Real-Time Location System (RTLS) Remote Asset Management
Services	Software Design & Engineering Services System Integration Training
Challenge	As part of its ongoing commitment to deliver safe, wholesome and trustworthy products, Michael Foods maintains a strong focus on the wants and needs of its customers, introducing innovative, value-added food technology and customer solutions across the enterprise. In its manufacturing facilities, the quality assurance teams were practicing Statistical Process Control (SPC) to improve the operational efficiency of processes and machines. However, data collection was largely performed manually; the analysis software was developed for quality assurance rather than statistical analysis and didn’t offer the necessary capabilities to truly understand the value of the collected data. The Michael Foods quality assurance team wanted to improve its overall statistical approach to quality and reduce the amount of product that was being lost through overpacking. Read More
About Customer	Michael Foods Group Inc. is a multi-national producer and distributor of egg products, refrigerated potato products, cheese, and other dairy-case products to the foodservice, retail, and food-ingredient markets. With annual sales of nearly $2 billion and more than 3,000 employees, the Minnetonka, Minnesota-based company offers a variety of valued and recognizable brands such as Papetti’s®, Crystal Farms®, AllWhites®, and Simply Potatoes®. The company’s 11 manufacturing plants are dispersed throughout North America with locations in Minnesota, Iowa, New Jersey, Pennsylvania, Nebraska, Wisconsin, Nevada, and Manitoba, Canada. Read More
Solution	To take its data collection and analysis to the next level, Michael Foods selected InfinityQS ProFicient, a real-time quality and Manufacturing Intelligence platform powered by an SPC analysis engine. The software was deployed with a central database and server in Minnesota that is accessed from each plant through a thin client via remote desktop or terminal services. Individual lines at each plant have integrated scales and calipers to collect weight and dimension data, and those lines are now beginning to track temperature and set-point data on the machines. The Lenox, Iowa, facility, which was first to deploy ProFicient, is also collecting data to evaluate packaging performance and to track gas checks, leaker checks, line speeds, and machine settings. In addition, Michael Foods is using InfinityQS Dynamic Sampling Workflow across its operations to ensure that operators are completing certain checks on schedule. This feature provides operators with a timed checklist for scheduled quality checks and automatically reminds users when it is time to collect data. Operators have appreciated not having to watch the clock themselves. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Manufacturing Execution Systems (MES)

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Food & Beverage

Applicable Functions

Business Operation

Process Manufacturing

Quality Assurance

Use Cases

Digital Twin

Predictive Maintenance

Process Control & Optimization

Real-Time Location System (RTLS)

Remote Asset Management

Services

Software Design & Engineering Services

System Integration

Training

Challenge

As part of its ongoing commitment to deliver safe, wholesome and trustworthy products, Michael Foods maintains a strong focus on the wants and needs of its customers, introducing innovative, value-added food technology and customer solutions across the enterprise. In its manufacturing facilities, the quality assurance teams were practicing Statistical Process Control (SPC) to improve the operational efficiency of processes and machines. However, data collection was largely performed manually; the analysis software was developed for quality assurance rather than statistical analysis and didn’t offer the necessary capabilities to truly understand the value of the collected data. The Michael Foods quality assurance team wanted to improve its overall statistical approach to quality and reduce the amount of product that was being lost through overpacking.

About Customer

Michael Foods Group Inc. is a multi-national producer and distributor of egg products, refrigerated potato products, cheese, and other dairy-case products to the foodservice, retail, and food-ingredient markets. With annual sales of nearly $2 billion and more than 3,000 employees, the Minnetonka, Minnesota-based company offers a variety of valued and recognizable brands such as Papetti’s®, Crystal Farms®, AllWhites®, and Simply Potatoes®. The company’s 11 manufacturing plants are dispersed throughout North America with locations in Minnesota, Iowa, New Jersey, Pennsylvania, Nebraska, Wisconsin, Nevada, and Manitoba, Canada.

Solution

To take its data collection and analysis to the next level, Michael Foods selected InfinityQS ProFicient, a real-time quality and Manufacturing Intelligence platform powered by an SPC analysis engine. The software was deployed with a central database and server in Minnesota that is accessed from each plant through a thin client via remote desktop or terminal services. Individual lines at each plant have integrated scales and calipers to collect weight and dimension data, and those lines are now beginning to track temperature and set-point data on the machines. The Lenox, Iowa, facility, which was first to deploy ProFicient, is also collecting data to evaluate packaging performance and to track gas checks, leaker checks, line speeds, and machine settings. In addition, Michael Foods is using InfinityQS Dynamic Sampling Workflow across its operations to ensure that operators are completing certain checks on schedule. This feature provides operators with a timed checklist for scheduled quality checks and automatically reminds users when it is time to collect data. Operators have appreciated not having to watch the clock themselves.

Impact #1	InfinityQS ProFicient has helped Michael Foods obtain operational intelligence, which the company has converted to effective action. Its production lines now run within tenths of a gram of target for weight control. In fact, Michael Foods set — and met — the goal of paying for the enhanced SPC project through resulting productivity gains. The efficiency improvements speak to the larger gains that can be realized from the transition to a more data-driven culture.
Impact #2	The platform facilitated a shift in emphasis to continuous improvement from tribal knowledge, with approaches that could vary by line, shift, and facility, toward a global culture of evidence-based decision-making — one that relies on statistical methodologies to attain greater operational efficiency. On the plant floor, the intuitive user interface, extensive charting options, and real-time feedback are empowering operators to make data-based, informed decisions.
Impact #3	On the company’s cheese lines, the software has taken the guesswork out of choosing settings for each variety of cheese and has streamlined communication among operators. The software has also helped plant managers reduce inconsistency through identification of standardized settings.

Impact #1

InfinityQS ProFicient has helped Michael Foods obtain operational intelligence, which the company has converted to effective action. Its production lines now run within tenths of a gram of target for weight control. In fact, Michael Foods set — and met — the goal of paying for the enhanced SPC project through resulting productivity gains. The efficiency improvements speak to the larger gains that can be realized from the transition to a more data-driven culture.

Impact #2

The platform facilitated a shift in emphasis to continuous improvement from tribal knowledge, with approaches that could vary by line, shift, and facility, toward a global culture of evidence-based decision-making — one that relies on statistical methodologies to attain greater operational efficiency. On the plant floor, the intuitive user interface, extensive charting options, and real-time feedback are empowering operators to make data-based, informed decisions.

Impact #3

On the company’s cheese lines, the software has taken the guesswork out of choosing settings for each variety of cheese and has streamlined communication among operators. The software has also helped plant managers reduce inconsistency through identification of standardized settings.

Benefit #1	Michael Foods has annual sales of nearly $2 billion.
Benefit #2	The company employs more than 3,000 people.
Benefit #3	75% of Michael Foods' plants are currently using InfinityQS ProFicient.

Benefit #1

Michael Foods has annual sales of nearly $2 billion.

Benefit #2

The company employs more than 3,000 people.

Benefit #3

75% of Michael Foods' plants are currently using InfinityQS ProFicient.

Download PDF Version

Overview

Feeding Operational Intelligence to Those Who Can Take Action

Operational Impact

Quantitative Benefit