24 Sep
2021

Solutions to Maximize Throughput in the Food Processing Industry

With the movement to digital factories accelerating, learn about the solutions you can use to maximize throughput in your processes.

OEE
OEE in Manufacturing Industry
Smart Factory
Solutions to Maximize Throughput in the Food Processing Industry
OEE
OEE
OEE in Manufacturing Industry
OEE in Manufacturing Industry
Smart Factory
Smart Factory
Food & Beverages Processing
Text Link
Consumer Product Goods
Text Link
Material Building & Construction
Text Link
Original Equipment Manufacturer (OEM)
Text Link
Pharmaceuticals & Supplements
Text Link
Packaging & Co-manufacturing
Text Link
Text Link

Maximizing throughput will help you to maximize factory productivity. However, many in the food processing industry don't have an accurate picture of their net throughput. Although having planned and unplanned downtime parameters is important, if your factory’s real output doesn’t align with what it should be, you’re going to continue to miss goals and not know why.

Food processing manufacturers who want to meet those goals and maximize throughput can better identify issues by using digital factory technology to truly understand how their assets are operating. Digitizing factory processes can help managers identify overlooked production issues, such as micro-stops and bottlenecks

Also often referred to as Industrial Internet of Things (IIot) technologies, digital factory advancements can not only maximize throughput but also help your factory identify and reach its true potential.

How to Use Digital Factory Analytics to Identify Production Issues

Even if you have automated processes on your factory floor, if you’re not actively measuring for continuous improvement, you likely don’t have a clear picture of your factory’s actual throughput—which makes it impossible to improve. If you can’t get accurate, real-time data, you’ll never get the information you need to get—and keep—everything running at top speed.

Additionally, if you’re still using manual, paper-based production line data, it is unlikely that you’ll stay competitive, much less pull ahead of your competitors. To get a real picture of how everything is operating, use data collection software that will help you calculate overall equipment effectiveness (OEE).

OEE measures three components:

  • Availability
  • Performance 
  • Quality

The OEE formula: 

OEE = (availability) x (performance) x (quality)

OEE has long been an important tool in lean manufacturing. If you’ve never calculated OEE before, start with this handy OEE calculator template to see what is involved. Using this template, you can learn how to track production equipment availability and efficiency in real time while also registering the number of rejects. This visibility helps you identify where the biggest throughput hurdles are so processes or equipment can be adjusted to maximize productivity.  

Make OEE calculation both accurate and easier.

OEE software can automatically gather information from your line processes to calculate your OEE. Obviously, 100 percent is a perfect score—but hitting this score is unlikely. If you’re calculating OEE for the first time, 40 percent is a common score and leaves room for improvement. 

Eighty-five percent OEE is a great goal, but many manufacturing companies start by working toward the 60 percent threshold. It is important to note that regardless of how OEE scores are ranked, your goals should be realistic and based on your benchmarks and the top goals and priorities for your factory.

Accurately Measure Micro-Stops Using Data Visibility

Using digital factory technology to measure OEE gives you visibility into your production data that you didn’t have before. This will help your factory identify overlooked micro-stops that keep your factory from maximizing throughput.

Factory managers can think that their equipment is operating to provide maximum throughput when it’s not. Today, managers have the IIoT, which uses smart sensors, Wi-Fi, and SaaS analytics tools to produce real-time data that identifies previously missed micro-stops that could be the barrier between factory projected goals and actual performance. IIoT sensors monitor manufacturing processes to provide more precise information so factories can optimize performance. Without IIoT technology, identifying those micro-stops in real time is nearly impossible. 

Things that hold up production throughput, including micro-stops, are like traffic violations on your production line. Not only do they slow you down, but if you continue getting them, they also add up to a much bigger problem—and you’ll be unable to maximize throughput.

Data visibility is crucial to production-line success.

Having total data visibility across your production line is how factories can begin maximizing throughput. Worximity’s Smart Factory analytics software helps manufacturers get the reliable data they need to make better decisions and improve not just throughput but also overall production. 

With the right analytics, your teams can improve your entire factory ecosystem using role-based, real-time data that helps them take action armed with the best insights.

Get the Data Visibility Your Need to Maximize Throughput

The digital factory is here to stay. The only way to keep up and get ahead is with the right technology that gives you total data visibility so you can make the best decisions for your factory and your industry. Using technology like Worximity’s Smart Factory analytics is like spying on every single step of your factory production line, and doing so will help you identify things like micro-stops so you can maximize throughput. 

Start by benchmarking your OEE to get a real-time look at your factory operations. Download this OEE guide that will take you from “step one” to “next steps'' in your efforts to make your factory highly efficient and to maximize throughput. No matter where you are on your digital factory journey, you can get a better idea of your actual OEE. Check out the OEE guide now.

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
15
Nov 2023

Decoding the OEE Calculation: Translating OEE Metrics into Tangible Losses

The following OEE funnel is a great way to visualize how losses in availability, performance, and quality impact OEE and your throughput.

English
16
Oct 2023

The Synergy Between Lean Manufacturing and OEE Monitoring

Overall Equipment Effectiveness (OEE) monitoring plays a crucial role in the realm of lean manufacturing, serving as an essential tool to assess and enhance the efficiency and productivity of manufacturing processes.

English
25
Jul 2023

Breaking Down OEE for Shop Floor Success

Discover how breaking down Overall Equipment Effectiveness (OEE) into relevant metrics for the shop floor drives operational success.

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
20
Feb 2024

Comment les entreprises ont mis en oeuvre les 14 points de Deming dans le secteur manufacturier

Les 14 points de gestion de Deming ainsi que la suite d'outils de performance de Worximity stimulent l'amélioration et l'innovation dans le secteur manufacturier.

French
16
Feb 2024

Principales différences entre la fabrication discrète et la production par processus

Découvrez le rôle essentiel que joue votre logiciel dans la fabrication discrète et dans la production par processus.

French
23
Jan 2024

Optimisation des opérations à l'échelle de l'entreprise : analyse de données dans l'industrie manufacturière avec l’aide de Worximity

Découvrez comment Worximity transforme les opérations manufacturières en exploitant l'analyse des données en temps réel, apportant efficacité et innovation à l'Industrie 4.0 tout en responsabilisant les départements au-delà de la gestion de la production.

French
23
Jan 2024

Optimizing Company-wide Operations: Data Analytics in the Manufacturing Industry With Worximity

Explore how Worximity is reshaping manufacturing by harnessing real-time data analytics, bringing efficiency and innovation to Industry 4.0 while empowering departments beyond production management.

English