This industry group comprises establishments primarily engaged in manufacturing soft drinks and ice; purifying and bottling water; and manufacturing brewery, winery, and distillery products.
How to Calculate Production Line Efficiency and Increase Your Throughput
As the filler is usually the most expensive machine on the line, we are in business and can move forward on ways to keep it running. We will aim to get the line’s throughput as close to the 167 bottles per minute (BPM) figure as possible.
Accumulation systems are designed to create buffers when a machine goes down to prevent having to shut down the entire line. Remember, we want to keep the constraint running as much as possible. By adding one or more accumulators on the line, you can avoid shutting down the constraint as you get your other machines back up. This can get the line’s throughput as close to the constraint’s maximum throughput as possible. Again, we will use our example to show you what happens when adding accumulation.
Heineken’s Event-Driven Connectivity Strategy
To understand the scope of this connectivity project, it’s important to realize that Heineken runs more than 3,500 applications globally, connecting them with more than 5,000 interfaces. ERP systems in use across the company include SAP, Oracle’s JD Edwards, and Microsoft Dynamics, as well as the Hybris and Virto e-commerce platforms, Salesforce customer relationship management, and various manufacturing execution and invoicing systems.
Groeneweg adds that, with its new event-driven system in place, Heineken can now deploy scalable “plug-and-play” technologies quickly to take advantage of timely business insights at scale. To explain this, Groeneweg offers an example involving the introduction of a new global invoice management application. Before the implementation of Heineken’s event-driven system, multiple point-to-point integrations would need to be built to embed the new application into the company’s IT landscape. “We would have to connect it to at least 20 applications to get master data, ERP data, customer data, etc.,” says Groeneweg. “With the event-driven approach, we just point the chatbot to the right topics and queues where the data is already available from all the source systems it needs to access. No integration work is required at all.”
Underground beer line doesn’t let a drop go to waste
3D printing hits the spot: How PepsiCo is using AM to produce drink bottle tooling
Among those tools and capabilities is PepsiCo’s patented Modular Mold Set, which is compatible with most standard blow moulders and comprises an aluminium shell, dental stone, and 3D printed inserts for various bottle designs from 100ml to 3L. “The Modular Mold Set is a means for us to be able to very rapidly and quickly generate a customised mould that we can then utilise in our lab-scale or Pilot Plant scale stretch blow moulding equipment,” Rodriguez told TCT.
Previously, to get functional mould samples, PepsiCo would contract an external service provider who would leverage a subtractive manufacturing technique – CNC or EDM, depending on the complexity – and return the tool within two-to-four weeks at a typical cost of up to 10,000 USD.
Nokia creates the perfect pint with 5G technology
Nokia and the University of Technology Sydney (UTS) have announced the successful operation of the world’s first private wireless and 5G connected digital microbrewery. The state-of-the-art facility forms part of UTS’s Industry 4.0 research site and enables thirsty researchers to perfect the art of brewing in the twenty-first century using digital automation.
Utilizing a cloud-based digital twin of an actual brewery to optimize the brewing process, UTS’s Industry 4.0 Nano-Brewery, is part of its new Advanced Manufacturing and Industrial Data Science testbed developed at the UTS Tech Lab. The Nano-Brewery forms part of an international production network, with an identical physical twin set up at TU Dortmund University in Germany. The 5G connected brewery captures and monitors production data at every step of the brewing process and uses this data, together with data from the physical twin in Dortmund and a digital twin in the cloud, to optimize the process.
Using machine learning techniques in wine quality testing
The Profiling capability from Thermo Scientific™ SampleManager™ LIMS software provides an innovative way for laboratories to predict test results using historical data and novel machine learning (ML)-based techniques. For example, a food and beverage company might apply the Profiling capability to enable supervised learning in the food production process. In this case, SampleManager LIMS would use historical data to gain an understanding of the critical variables that determine whether a product is safe for consumers. This holistic approach considers not only the values of the individual critical variables themselves, but also the relationships between them. If a sample were to be flagged as failing, the system would alert stakeholders in advance to issue adjustments or investigations to avoid any risk to finished products.
In a wine production facility, the result of the “Quality Test” is of utmost importance. The laboratory has great flexibility and control over the testing process, so they could use the Profiling capability to redefine the order of the standard tests conducted to a wine sample.
Automated by B&R - Bottle Unscrambler by Seiko Japan
Packaging Solutions for the Wine Industry
In a new video, we show how ProMach product brands, Axon, Fogg, I.D. Technology, P.E. Labellers, Roberts PolyPro, and Zalkin provide solutions to meet the demands of packaging in the wine industry. Whether your line requires modularity, high-performing machines to keep up with fast productions speeds, reliable equipment to sustain high speeds, fast changeovers, and more, a ProMach product brand can deliver custom packaging machinery from filling, capping, labeling, and coding to meet your demands.
Digital Transformation in the Beverage Manufacturing and Bottling
How the Maker's Mark Distillery Produces 24 Million Bottles of Bourbon per Year
STM 2.0 Brewery Install w/ Dakota & Gary
How SparkCognition Improved Production Efficiency for a Beverage Manufacturer
We developed seven new deep learning models to detect anomalies in resource consumption, machine status/health, and overall efficiency. (As always with a Total Plant solution, these models were tailored to the specific data, technical context, and business goals and strategies of the client.)
Once developed, the models were deployed into our AI platform for execution and KPI-driven reporting. Another key new function we delivered: predictive analysis, to anticipate problems before they occur, based on patterns detected in current and historical data, and notify the beverage manufacturer in time to take preventative action.
Finally, the results of the AI-powered analysis were delivered via a configurable dashboard that provides at-a-glance insight into the plant’s efficiency, including new KPIs reflecting water usage, water balance, power consumption, heat generation, and waste levels. This information can also now be streamed whenever, wherever, and to whomever the manufacturer requires, now or in the future.
Fully automated end-of-line test bench for BMW eDrive
Cloud-based app for micro-breweries
When the yeast consumes the sugar to produce alcohol: That’s when the flavour is developed. It’s when beer becomes beer. Australian craft brewers are passionate about brewing, not industrial operational technology, yet Leonie Wong and Rex Chen from the MindSphere team still managed to make the data work for them; they want to always land the perfect brew and waste not a single drop.
In this market, Deacam, an Australian original equipment manufacturer (OEM), which provides automated brewing equipment and solutions to microbreweries, was looking to differentiate itself. Leonie Wong, responsible for Vertical Sales for Food & Beverage for Siemens Australia, and Solution Architect Rex Chen met with Deacam and their customers, the microbreweries themselves.