Food and Beverage Manufacturing: Unlock Insights into the Manufacturing Process with Analytics

There’s no question – the manufacturing industry is changing rapidly. With the rise of Industry 4.0, the new buzzword on everyone’s mind is “big data“. But, what do you do with it and how does it apply to the food manufacturers, beverage manufacturers, or even pet food manufacturers?

Each food and beverage manufacturer has unique safety, regulatory, and customer requirements that must be fulfilled. Tracking those requirements accurately, and in real-time, will provide the biggest benefit for meeting standards and continuous improvement. Good data management is now essential for accurately tracking and linking all products to a specific source or batch.

With manufacturing analytics, that becomes possible.

In the food processing industry, quality, yield, headcount, labor units per hour, and units per hour made are all important metrics. Big data can help provide actionable insights into the production process through manufacturing analytics and help to ensure all standards, including quality and yield, are met.

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The Challenge: Visibility on the Plant Floor

Many regulations require exact data in relation to the production of food, beverage, and pet food products, and if you consider the amount of product produced on a daily basis, it can get very complicated quickly. It’s important for manufacturers to have precise data and understanding of the product being manufactured.

The solution is data analytics and management.

Manufacturers have long relied on data collection through manual means – a person watching the machine to measure cycle time, calculating OEE offline, and reporting data through manually created excel spreadsheets. Those manual processes have not changed throughout the years, but as big data becomes widely adopted, data collection will need to be modernized, too. With food and beverage manufacturing analytics, real visibility on the plant floor is possible – SensrTrx can help.

The traditional methods are transforming, evolving to help food and beverage manufacturers achieve their goals, with complete visibility. 

You also may feel that your competitor is actively collecting data that helps set themselves apart from the rest of the competition, but, in reality, that is not the case. The use of big data is slowly growing, but it should go without saying that by implementing a software solution that can provide visibility, you’ll be growing leaps and bounds above the competition.

“The ease of use. A straightforward layout that provides powerful and useful information that we can use to immediately impact our efficiencies.”

Cory Johnson

Director of Operations, Villari Brothers Foods

“Sensrtrx made the impossible, possible. They took on the challenge and we now have all of our critical machines connected.”

Ray Jonoubei

Director, Manufacturing Engineer & Facilities, Mission Bell

“We wanted to get off our paper system. We hoped that SensrTrx could help us collect data into a central database to improve the way we worked and that’s exactly what SensrTrx did.”

Chad Hill

CEO, Versatech

How Can Manufacturing Analytics Help the Food Processing Industry?

Example 1: Consider the implications of a filler being faster than a capper. Track not only what is on the line of an accumulator table, but each station. You will be able to understand where the bottlenecks are and how they move around. Process technologies and packaging can become more efficient.

Example 2: The software can connect to the check weighers to not only count how much product is produced but if any product was rejected for being under or overweight. Gain insights by gathering the weight data into the software and look at trends over time to see if there is a problem with the filler.

Example 3: Many people are needed to assist on the production lines. With SensrTrx, you can track how many people are on the line at any given time, calculate output per person, and determine labor efficiency per person. The data can help you figure out the optimized number of people for any line, and how being short-staffed will affect production.

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The Solution: Food and Beverage Manufacturing with Actionable Insights

Understanding and evaluating the performance of key performance indicators (KPIs) by plant, machine, metric, process, shift, etc. will help set your business apart from your competitors. Identify trends, improve food safety by supporting quality assurance needs, reduce loss, increase throughput, support maintenance through predictive insights, and reduces costs – all with manufacturing analytics.

With real-time, accurate analysis of virtually any food processing data and metrics you need, performing routine monitoring becomes simple and uncomplicated.

SensrTrx Manufacturing Analytics provides you the ability to eliminate the need to rely on reactive decision-making based on manual data collection.

The software provides you the insights needed to:

  • Track availability and reduce downtime
  • Increase throughput and performance
  • Improve quality and determine the root cause
  • Track yield and units per hour made
  • Calculate labor efficiency per person/labor units per person
  • Correlate process data with downtime and scrap

SensrTrx is dedicated to helping food manufacturers navigate data collection and analysis with ease. All of the data collected can help inform decisions for future productivity with the use of automated reporting and visual dashboards.

With manufacturing analytics, you’ll be maximizing resources, unlocking valuable insights, and ensuring on-going visibility into your factory floor.

SensrTrx can provide visibility to the following industries: food, beverage, including soda or soft drinks, bottled water, pet food, breweries, etc. SensrTrx’s focus is not limited to one particular industry but can be applied to virtually any food manufacturing or beverage manufacturing industry.

See For Yourself The Power of Plant Floor Visibility

Let us give you a customized demo of the software designed to address your visibility challenges. Learn how to address downtime, manage throughput and reduce scrap.