8 Mar

Why You’re Missing Your Daily Target for the Food and Beverage Industry

To reach your daily target in food and beverage manufacturing, avoid these five mistakes.

No items found.
Why You’re Missing Your Daily Target for the Food and Beverage Industry

Many manufacturers track important performance measures daily to ensure their plants are producing the correct product at the correct rate to meet production and customer delivery goals. Daily target values are important and are generally set for measuring significant internal functions. Feedback from actual production gauges how each step in the production process is performing. When a plant is successfully meeting daily target metrics, managers and supervisors can be confident that overall customer requirements will be met.

Improvements in plant efficiencies can be achieved by analyzing target values and changing production procedures to adjust goals upward. Too often, however, food and beverage processors consistently miss production targets. 

Failing to meet production goals across the plant indicates problems on the processing lines. Unless these problems are corrected, conditions will ultimately lead to profit losses. Below are five key processing metrics and common reasons these targets are often missed.  

1. On-Time Delivery/Schedule Attainment

Delivery of product to customers is the last step in a series of process steps that begins with receipt of order. Any misstep along the processing chain can lead to missed daily targets for meeting delivery commitments. Often, however, inaccurate inventory records are at the root of these problems. Incorrect inventory balances can mean production orders are incorrectly entered, and the product is not available when customer orders are being pulled.

2. Throughput

Failure to meet daily targets for throughput can most often be directly tied to processing issues along the line. Some of these include frequent equipment breakdowns, incorrect line run speeds, and wrong raw material types or quantities. Any time the line must stop or run slow, production is being lost. As a result, the line won’t meet the right product quantity, leading to missed production goals.

3. Changeover Time

When changeovers are in progress, the equipment being worked on is sitting idle and not producing. Meeting or exceeding daily targets for scheduled changeovers is essential to getting the processing line back up and running. Lengthy or excessive changeovers reduce line throughput and lower overall plant performance.

4. Yield or Quality Levels

Only product that meets specifications can be delivered to the customer. Rejects, rework, and scrap consume resources and lower overall process yields. Monitoring the volume of product rejects and causes for those rejects provides managers with the data they need to correct the source of the problems. 

Production might miss daily target levels for quality because of incorrect or out-of-spec raw materials, incorrect fill amounts, incorrect or misapplied labeling, or lack of employee training. Having the right data from the production line is necessary to analyze and correct high levels of rejects.   

5. OEE

One of the most important performance measures for most plants is overall equipment effectiveness (OEE). This metric consists of three critical values: availability, performance, and quality. 

When these three values are multiplied together, the result is the all-inclusive OEE value for the process. Every step along the processing line can benefit from data gathered from OEE. Setting daily targets for both plant and process OEE is vital for management to understand overall performance as well as performance trends.

Gain Control of Processes and Reach Targets with Automated Data Collection

Worximity’s Smart Factory analytics software allows companies to utilize the latest digital processing line data collection technology to gather essential line performance data. Analyzing this data provides the information needed to correct problems responsible for missed production targets and reduced costs. By contrast, the usefulness of data collected via manual systems is minimal. Manual system limitations include:

  • Delays between data collection and availability of results
  • Inaccuracies with manually collected and analyzed data
  • Limited scope/doesn't cover all operations
  • Intensive use of resources
  • High costs
  • Distraction from more important tasks

In today’s competitive marketplace, food and beverage processors are implementing smart factory software to capture manufacturing data digitally and calculate results in real-time. Worximity Technology is the industry leader in performance monitoring systems via our Smart Factory Analytics system.

To demonstrate our Smart Factory analytics system’s capabilities, Worximity is offering a free seven-day trial for measuring OEE on one of your processing lines. If your facility qualifies, you’ll receive everything you need to capture real-time performance data and develop OEE values for one of your production processes. 

Working with our consultants, you'll see how real-time results can help your operation meet and even exceed production goals. In addition, with insight from our extensive performance experience and database, you’ll learn how your processes stack up against others in your industry.

Want to learn more?
Download the ebook
Related blog articles

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
No items found.

Related articles

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

Calcul de la cadence dans le secteur manufacturier : maximiser l'efficacité

Calculer la cadence peut être plus compliqué que vous ne le pensez! Apprenez quelques trucs et astuces en lisant cet article de blogue

May 2024

Exemples de Lean Manufacturing provenant des principaux leaders de l’industrie

La mise en œuvre du Lean Manufacturing peut vous apparaître comme un défi colossal. En regardant ce que les meilleurs ont accompli en appliquant les principes du Lean Manufacturing, vous serez à la fois inspirés et motivés.

Apr 2024

How to Analyze Throughput Rate

Throughput rates are an important measure of factory performance. Not only does throughput indicate whether the factory can meet customer demand, but it's also an indicator of overall plant efficiency.