Skip to content

Posts tagged ‘Charles Larkin’

[Webinar Recap] The Journey to Data-driven Refrigeration Insights

Charles Larkin | Director of Data and Analytics, Cold Chain

Emerson’s Commercial and Residential Solutions Business

The utilization of data analytics and data science techniques is rapidly expanding throughout the commercial refrigeration sector. From the implementation of food safety programs to the identification of potential equipment performance issues, operational data can be transformed in a variety of ways to drive operational improvements and business outcomes. In our most recent E360 Webinar, I explored some real-world examples of how our analytics team is helping leverage data to drive improvements in their quality control (QC) initiatives.

When considering the role of data analytics in commercial refrigeration, it is important to understand that data should be viewed as an entry point for discovering larger issues and digging deeper to find root causes. Historically, the management of food safety QC programs has relied on paper-based recording and tracking methods, but these can be cumbersome to maintain, inaccurate and difficult to transform into usable insights. In addition, refrigeration data can be very complex and difficult to interpret and our industry is just beginning to unlock the potential uses of data in these applications.

Thankfully, modern data science techniques and machine learning algorithms are helping to deliver insights that uncover issues previously hidden from food service and food retail operators. Here are a few examples that I discussed in the webinar.

Descriptive analytics of QC programs in foodservice

Traditional hazard analysis and critical control points (HACCP) programs are paper-based checklists that do not easily yield valuable insights. In addition, the process of manually checking the temperatures of coolers, freezers and food (pulp temperatures) — and physically recording all of this data — is labor-intensive, inefficient and often inaccurate.

By leveraging cloud-connected sensors, we are able to digitally record HACCP temperature data and present that information in the form of easy-to-digest descriptive analytics. Through intuitive visual dashboards, foodservice operators can see their HACCP compliance checklist rates — per store or operation on a daily, weekly, monthly or annual basis. By doing so, they can then easily identify patterns that indicate areas of improvement.

Diagnostic analytics of refrigerated shipping container performance in marine transport

Applying data science to the process of measuring condensing unit performance in a refrigerated shipping container has allowed us to leverage more diagnostic analytic capabilities for our customers. These containers are at sea for extended periods of time, typically carrying high-value perishable shipments, so it is critical for operators to continually monitor refrigeration performance, identify issues early and make the necessary equipment or process corrections.

Performance data patterns in refrigeration units can be unpredictable, chaotic and difficult to interpret. By capturing this data over extended periods of time and processing it through advanced analytics techniques, we are able to identify patterns in condensing unit system health and make recommendations. For example, our analytics teams can diagnose when system health begins to decline so the operator can take proactive steps to fix potential issues before they become larger ones. When used across a fleet of shipping containers, we are also able to reframe this data into dashboard views to indicate which containers have issues that need immediate attention at any given time.

Prescriptive analytics in food retail

As we move these concepts into the retail space, we are applying similar techniques used in our food service and marine examples in an environment that can be significantly more complex — with diverse refrigeration systems, compressor racks and display cases to monitor. We are finding ways to make operational data simple for food retail operators to consume and to give them tools to identify precisely when and where they are having temperature excursions or performance issues.

Through a combination of performance dashboards and live alarms, we are able to help our customers assess the health of key assets and identify temperature deviations. This allows them to see which cases were having product deviations and begin the process of figuring out root causes (such as set point changes, defrost effectiveness or myriad other factors). From an enterprise view, these insights give large retailers the ability to monitor and analyze performance across multiple sites and examine why different stores have variations in performance characteristics.

Effective data analytics also provide more insight into which alarms are most indicative of critical performance issues. As a result, we can deliver a reduction in total alarms — on display cases and product temperature probes — which simplifies food retail operations and improves the overall likelihood of maintaining the desired temperatures.

To learn more about how data analytics can uncover insights in your operation, please view this webinar.

 

 

 

[New E360 Webinar] Leverage Data to Optimize Refrigeration System Efficiency

Charles Larkin | Director of Data and Analytics, Cold Chain

Emerson’s Commercial and Residential Solutions Business

Within the ever-expanding scope of commercial refrigeration applications, internet of things (IoT) technologies have a wide variety of potential uses. From helping to preserve food safety and quality to implementing smart maintenance programs, IoT programs can be utilized to address some of food retailers’ most critical operational concerns. In an upcoming E360 Webinar, which will take place on Tuesday, July 20 at 2:30 p.m. EDT/11:30 a.m. PDT, we’ll explore how retailers can utilize IoT initiatives and data-driven insights to achieve key operational objectives.

Attendees of this webinar will gain an understanding of IoT fundamentals and learn how hardware and software can combine to deliver valuable information on equipment performance. By utilizing connected sensors on equipment and installing smart control devices, operators can leverage previously untapped data to uncover real-time and historic insights on refrigeration status, performance trends and overall asset conditions.

Then, using advanced software with powerful machine-learning (ML) algorithms, this data can be processed and further analyzed to deliver more predictive insights, identify preventative maintenance (PM) opportunities, and even develop prescriptive maintenance models.

The upcoming webinar will explore how retailers can unlock the vast potential of data within commercial refrigeration applications, such as:

  • Identifying procedural problems in quick-service restaurants (QSRs) with respect to adherence to their hazard analysis and critical control points (HACCP) programs
  • Measuring the return on investment (ROI) of implementing digital HACCP programs and/or remote temperature monitoring of refrigeration assets
  • Developing algorithms for the marine sector to help provide early detection of potential food safety/quality issues during sea transport (and applying these concepts to food retail)

To learn more about how IoT programs can deliver operational insights in commercial refrigeration applications, please register for this informative webinar.

 

 

%d bloggers like this: