1 Mar
2021

Throughput: Improve Your Production Rate with Existing Equipment

Improve your hourly production rate and increase your throughput using existing equipment with Smart Factory technology.

Production Monitoring
Throughput
Throughput: Improve Your Production Rate with Existing Equipment
Production Monitoring
Production Monitoring
Throughput
Throughput
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

Within food processing and manufacturing, production managers and line supervisors are under constant pressure to increase throughput and lower production costs. The issue continually arises at production meetings and in day-to-day conversations. 

Most managers are constantly wondering how to get more production through their lines using existing equipment. Processors that successfully achieve high product throughput levels can keep costs low and remain competitive. Companies must continuously take action to lower costs and increase throughput.

To successfully bring about significant internal change, managers must develop solid and effective plans that focus on specific areas for improvement. And developing effective plans means basing action items on high-quality, real-time performance data. The data must include how the lines are running and where areas of improvement can be found. Worximity Technology is the industry leader producing and installing food processing performance monitoring systems. Our Smart Factory analytics software provides manufacturers with KPIs that lead to improvements in many areas, including throughput, across their operations.  

One important KPI generated by our Smart Factory analytics is overall equipment effectiveness (OEE). This measure tracks how effectively equipment is being used and aggregates three real-time operating values: performance, availability, and quality. By analyzing OEE results, manufacturers can determine the effectiveness of equipment and identify areas for increased throughput. 

Worximity offers an OEE trial to demonstrate just how effective the measure is in showing equipment efficiencies and improvement opportunities. Our system provides data that not only includes OEE but also helps carry out analysis to accomplish these five goals.

1. Conduct Preventive Maintenance and Reduce Downtime

There are multiple causes for downtime, and Worximity's Smart Factory analytics system captures them all, including micro-stops. Problems causing the largest amount of downtime should be analyzed first. Often, equipment breakdowns result in excessive downtime; in these cases, examine the preventive maintenance program for the equipment. Making positive changes to maintenance procedures can increase production uptime.

2. Reduce or Eliminate Low-Profit SKUs and Replace Them with New or High-Profit Items

Companies often maintain products in their product mix so long as those products contribute something to margins, even if sales are low. Low-margin, low-volume items can absorb factory resources and should be analyzed in light of product alternatives. Creating new products can not only improve margins and increase throughput but also refresh the company’s product offerings.

3. Analyze Process Changeovers for Increased Efficiencies

Reorganizing product line changeovers to reduce equipment downtime can lead to a dramatic increase in line availability. The time saved as a result can be used for additional production, effectively increasing throughput. 

4. Eliminate Product Flow Bottlenecks

A production bottleneck is the slowest operation in a sequence of processing steps and represents an excellent opportunity to increase throughput. Regardless of the throughput of other steps in the process, the entire line runs at the pace of the bottleneck or slowest operation. Equipment both upstream and downstream of the bottleneck will have to slow down to match the bottleneck operation's throughput. Consider altering the layout and flows to better balance equipment processing rates. Improved throughput can often result from relatively low-cost changes.

5. Analyze Production Order Scheduling, Customer Demand, and Line Balancing

When production orders are created, planners should consider customer demand, finished goods inventory balances, line capacities, and available raw materials. Mismatching orders with demand can mean lost time, excess finished goods inventory, late deliveries, and risk of spoilage. Ensuring good balancing and careful product scheduling helps increase throughput, keeps lines moving, and improves customer relations.

Install Smart Factory Software to Improve Throughput

When your company implements Worximity’s Smart Factory analytics system, you can begin to receive operating data that tells your employees exactly how the lines are running and highlights areas in need of improvement. 

Worximity's systems utilize real-time data collection sensors (TileConnect) that capture actual production data as the line is running and transmit the data to the cloud. Then, our Smart Factory analytics software calculates KPIs, including throughput, and presents the results on monitors (TileBoard) located across the factory floor. Data results are configurable and can be displayed on desktops, laptops, handheld devices, or phones, depending on client requirements.

Worximity Technology’s Smart Factory analytics system helps companies reduce downtime, identify low-performing products and equipment, and eliminate bottlenecks. Developing and tracking OEE is essential for companies seeking to improve their throughput and bolster their bottom line. 


Take advantage of Worximity’s OEE trial to understand the benefits of implementing Smart Factory software. If your company qualifies, you’ll get everything you need to monitor OEE in real time at your factory.

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
7
Sep 2023

Mitigating Debt Servicing Challenges with Production Monitoring

Interest rates are up, and demand is down. Strapped with higher loan repayments many of today’s manufacturers are caught in the middle. Read how optimizing manufacturing operations is mitigating the challenges of debt servicing.

English
13
Jul 2023

5 Ways Production Monitoring Helps Reduce Turnover and Bridge the Skills Gap

Technology has an important role to play in not only bridging the manufacturing skills gap but also creating a positive and engaging work environment that fosters employee loyalty and retention.

English
19
Apr 2021

Learn How to Improve Raw Materials Yield by Connecting Your Scales and Checkweighers

Here’s how connecting your scales and checkweighers leads to a quick ROI and better control on your raw materials.

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
13
Mar 2024

Moteurs d’efficacité manufacturière : Monitoring des machines et du TRG

Le monitoring des machines et du TRG (taux de rendement global) sont efficaces pour améliorer l'efficacité globale, mais quelle est la différence entre eux et qu'est-ce qui est le mieux adapté à vos opérations?

French
13
Mar 2024

Engines of Manufacturing Efficiency: Machine Monitoring and OEE

Machine Monitoring and OEE (Overall Equipment Effectiveness) are effective at boosting overall efficiency, but what is the difference between them and what is best for your operations?

English
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