We, at ‘Hug innovations’, perceives the importance of standardization and streamline the flow of any process. We also understand that almost every manufacturing plant is heavily dependent on machinery and other equipment. Most of the plants follow Kaizen & Kaikaku for process improvement, but still, there are some complications in which the overall decision making dwindle.
‘Hug Innovations’ focuses on the use of cyber-physical system to monitor the physical factory processes and data-based automated decision by leveraging Industrial Internet of Things (IIoT) technology. We see a huge need for this technology to monitor as well as to automate the complex processes.
We acknowledge that the proposed solutions from ‘Hug Innovations’ offer rapid return and enable manufacturers to realize digital transformations from several perspectives: efficiency, automation, customer-centricity, competitive benefits and the advantages which are offered by using data across the manufacturing value chain (from In-bound logistics till post-sales services) and to tap into new revenue sources.
Until recently, Predictive Maintenance was a philosophy the industrial asset management industry lived by. When a piece of equipment broke, you fixed it. When something malfunctioned, you replaced it. And service schedules were based on estimates rather than data. The result of this reactive approach? Fluctuating costs, unreliable service, and unplanned downtime – not good for your reputation or your P&L.
We, at Hug, have come up with a dynamic solution which proactively identifies the fault, with data-based rational. This dynamic solution is backed by intelligent Ml algorithms and cognitive science, which make the solution Robust and Powerful.
Now we have answers for all your inquisitive questions, like:
- Can I increase the percentage of production yield?
- Can I detect equipment failures before they happen, and fix them?
- Can I get field data from the equipment and use that in R&D to build a better product?
- Can I offer value-added services to my customers on top of hardware?
The single answer to all your queries is, Yes! Now you can make predictions about your plants’ behavior, based on data.
Hug assures you a good ground to expect, Optimized maintenance costs for increased ROI, minimizing disruption by avoiding unplanned downtime and schedule service, Improved quality standards and deliver better service.
‘Hug Innovations’ proposes a State-of-art dynamic solution for streamlining the complete process. We give a power in your hand to manage the complete material flow, be it an assembly line, or a continuous process, or a job shop.
Our dynamic solution is completely inspired by the Theory of Constraints (TOC). TOC is a methodology for identifying the most important limiting factor (i.e. constraint) that stands in the way of achieving a goal and then systematically improving that constraint until it is no longer the limiting factor. In manufacturing, the constraint is often referred to as a bottleneck.
We also work on the same concept, where we connect all shop floor equipment with MES/ERP systems in multiple plants for improved Overall Equipment Effectiveness (OEE). Our Solution will enable real-time monitoring of critical performance parameters and material flow. You, as supervisor of the factory, be anywhere then also you can track and control things remotely.
We acknowledge that with our solution you can achieve:
- Improved overall production efficiency
- Complete manufacturing traceability
- Reduced maintenance costs and low total cost of ownership
- Reduced inventory levels
- Reduced labor costs
Inventory, being the core and heart of any business. Stocking the right amount of inventory is crucial. If you order too little, your customers will start looking elsewhere. If you order too much, there’s a chance you’ll be stuck with lots of extra stock that you’ll be forced to sell at clearance prices, or risk having them become obsolete.
You work on conventional Just-in-time inventory management system, or on Safety stock, or on Economic order quantity (EOQ), or you optimize your reorder point, still, there are loads of risks.
What if a piece of technology can solve almost all your problems?
We, at Hug innovations, are working on IIoT platforms and cloud-based systems, where we connect all of the objects in the warehouse and allows them to communicate with one another. Currently, our inventory management system is able to track items in real-time. We work on RFID and barcode labels to track your inventory. Built-in RFID tags hold almost all the info about temperature, weather, damage to the object, traffic, etc. So, this is how our system is able to provide visibility into inventory levels, expiration dates, item location, forecast demand, and more.
Plant Safety and Security
Everyone knows that manufacturing plants give the highest priority to employees’ safety and it is the companies’ top concern to always look for ways to improve the safety factor.
‘Hug innovations’ proposes a real-time solution which addresses the same problem statement. With IIoT sensors and connected devices, early detection of malfunctioning systems can prevent injury to employees that would have otherwise been unaware of the situation. Hug’s IIoT solution makes it possible for companies to monitor in real time, through a wearable (which constantly monitors employees’ various health metrics, including heart rate, movement, activity, fatigue, stress) and with sensors that offer a variety of readings to detect and flag an anomaly the second it arises in daily operations.
In the fast-paced world of Industry 4.0, quality vigilance is becoming paramount for the companies. Poor quality can severely hurt any manufacturer’s reputation, not to mention the cost and the resources that they might need to allocate in order to correct the issue. Have you ever thought about why you are not achieving the desired output within control limits on a systematic control chart result? Or have got a question that even after using Ishikawa chart, histogram, scatter plot, etc. (for the quality control) you are not able to capture and visualize the leakage in the process flow?
‘Hug innovations’ proposing a connected IoT solution that optimizes edge-based real-time analytics with the power of cloud-based advanced computing gives manufacturers the ability to maximize their in-process real-time quality control (RtQC) by providing the following benefits:
- Taking immediate action on perishable data in line with the manufacturing process
- Retaining insights from production engineering to optimize in-process manufacturing
- Learning and adapting continuously from product output
- Continually optimizing for production variance and process drift
To know more or clear your inquisitive queries, please contact us. We surely will give you a newer perspective of possibilities.
Just like any other mechanical equipment, packing scales and process weighers are prone to malfunction and inaccuracies due to damage, loss of calibration and many other faults. I have experienced first hand the impact of having a packing scale over-fill. In fact, we can do the maths right here. Typically a scale would tip on average 12 times a minute. So if a scale is over-filling say a 10kg bag by only half a kilo, an 8-hour shift would result in losses of over 2 tonnes of product. Under-filling the bags would be just as detrimental as it would result in regulatory fines or loss in production time if the product has to be repacked. The scale has to be as accurate as possible.
Further, if a packaging machine fails it is taken off the production line until it is fixed. Resulting in downtime that could have been prevented had there been measures in place to detect the failure in advance.
It gets worse. Most manufacturers who employ packaging and weighing equipment lack systems that provide detailed descriptive analytics such that decision-makers are often reduced to guesswork.
This is mainly due to legacy technology systems that are not interoperable. For example, there is no link between PLCs on packaging equipment and the Manufacturing Execution Systems.
Packaging equipment manufacturers, therefore, owe it to themselves and their clients to cast a wide net and find new ways of solving these challenges among many others.
Modern IoT advances offer the most ideal arrangement. Mechanical IoT can enable leaders to advance in and stop the procedure close to recognizing a blame, for example, a scale glitch or a traded off creation run. To put it plainly, it offers the chance of constant bits of knowledge on how things are going not how they went.