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Operations Software Supply Chain Topics Aerospace AI Automotive Cybersecurity Energy Gen Z Industry 4.0 And so the value of AI is talked about quite a bit; kind of a taboo term in some companies. Now decisions and actions are being taken as a result of the data and the insights being delivered as a result of the model.
Many businesses see value in using a cloud-based CMMS where information is stored remotely and increased computational resources enable detailed analysis of maintenance data. Reporting An important benefit of a CMMS is the ability to capture and analyze maintenance data. Updated regularly, good data security.
“Lack of interoperability is a key barrier when exchanging data and information between different industrial platforms. Especially in the context of data sharing and thus of data ecosystems, OPC UA can contribute to a uniform standard for the transmission of data between different systems in the context of Industrie 4.0.
One consequence is to leave maintenance data in silos, making it harder than it should be to implement effective maintenance strategies and optimize spare part inventories. This blog describes how a holistic approach to maintenance, repair and operations (MRO) data management builds a solid foundation for improving operational efficiency.
The arguments range from "collecting worthless data" to the assumption that it is impossible to seamlessly connect the individual layers and thus enable smooth communication among them. This enables us to guarantee security, data quality and smooth communication. Likewise, the security of such a structure is often questioned.
Effective manufacturing planning is essential during this period, ensuring that each process aligns with the leveled schedule and long-term capacity goals. Launch a pilot line , gather real-time data, and iterate. Digital tools & data requirements Digital infrastructure amplifies the effectiveness of production leveling.
In this application of the idea, decision-makers rely on heavy amounts of data pertaining to cycle times, production rates and queue lengths to guide their efforts. Kaizen/ rapid improvement events : These focused, short-term projects are usually deployed to address specific concerns within a manufacturing process.
Defining industrial robot maintenance Robot androboticsare broad terms used for any system that can operate autonomously. In manufacturing, industrial robotics refers to machines that move through free space, following a path thats usually pre-programmed. Many manufacturers handle this by contracting with a specialist.
Regular audits prevent unnecessary clutter, maintain standard storage procedures, and support long-term parts room organization. Usage data & demand forecasting : Analyzing historical consumption data and consulting OEM recommendations helps establish accurate reorder points.
They can take unstructured multimodal data, reason over it, and return the output in a structured format. They can also be integrated with live data sources and tools, to request more information if they don’t know the answer or take action when they do. How to reason over a spatial memory.
This term was famously announced in 2011 at Hannover Fair as part of the German High-Tech Strategy, and since then it has taken hold across the world. Figure 1: Digital transformation framework requires changes to how people, processes and technologies use data. Winter: The term “Industry 5.0” Winter: Industry 4.0
In this post, we'll look at the topic and the benefits that this form of technology provides. Artificial intelligence (AI) refers to a computer's ability to mimic, if not outperform, human capabilities in data analysis. What Exactly Is Industry 4.0? Industry 4.0
According to data from New York State, Intuition Robotics’ ElliQ has resulted in a 95% reduction in loneliness amongst users. Generative AI provides context for many conversations, allowing ElliQ 3 users to discuss a large number of topics more naturally, said Intuition. Source: Intuition Robotics Intuition Robotics Ltd.
This blog explains what the term means and introduces the technology involved. Remote” in this context refers to the person acquiring or using data from a machine not being physically present at the machine. Instead, data is gathered by sensors and communicated to where it is viewed, analyzed and stored.
The digitalisation of electrical distribution and HVAC infrastructures has given facility teams the data, insights, and control needed to achieve these outcomes. Improve building health using space management based on real-time data on occupancy, and HVAC control based on temperature, humidity, and air quality data.
However, they are more brittle and less forgiving in terms of tool setup. Cutting Speed Cutting speed refers to the speed at which the cutting edge engages the workpiece, usually measured in surface feet per minute (SFM) or meters per minute (MPM). Depth of Cut Depth of cut refers to the thickness of material removed in a single pass.
In broad terms, five types of industrial sensors are used on manufacturing equipment. Corrosion monitoring sensors use different physical principles to gather data for long-term trend tracking. Once received, the data is stored, filtered, averaged and used for trend monitoring and to detect sudden changes.
A good cloud platform helps users manage data along the lifecycle, which supports curation and utilization to enable effective data analytics and machine learning (ML) to generate insights that can make manufacturing operations better. The term “edge” is misleading because it is at the center of so much. Courtesy: Yokogawa.
There are just two points I’d like to take issue with the authors and editors of this topical and otherwise beautifully written book about. The authors must have had the former meaning (‘era’) in mind, but the title can be easily misconstrued as referring solely to the cities’ history. Let me explain. And not just in my opinion.
Ransomware is a type of malicious software (malware) designed to block access to a computer system or data until a ransom is paid. Category 4 incidents increased, indicating a more significant impact on victim organisations, often involving data theft, extortion, or service disruption.
Only once that has been done does the team begin capturing and analyzing data to reach a better understanding of what’s gone wrong. Sometimes referred to a “5M’s + E,” it has become more common to speak of “Mother Nature,” thus making six M’s. They help a team identify all the possible contributors to a problem. These are: 1.
Defining terms: understanding condition-based maintenance and predictive maintenance When trying to preserve the longevity and efficiency of your machinery, knowing the best maintenance plan for your specific application(s) is critical.
Availability is similar to machine uptime , except uptime refers to when a machine is actually running. Data collection and analysis: RAM requires data on system performance, much of which should be available from reliability monitoring results stored in the CMMS. Evaluate current systems and identify improvement opportunities.
If you’re unfamiliar with what these terms represent, you might be led to believe you have to choose one over the other. They may sound like competing ideas, but in many cases they’re complementary. Take, for example, precision maintenance vs. predictive maintenance.
Leo reads millions of articles, reports, and social media posts to determine if they are relevant to the topics you want to track. In our example, we use AND to only track articles that reference both Amazon and product launches. This Concept will be able to find relevant updates even if the term “product launch” isn’t explicitly used.
Whether it’s short-term catch up or long-term maintenance relief, the key issue AI addresses is downtime. AI’s ability to analyze and process vast amounts of data is helping industries streamline operations, improve efficiency and maintain optimal asset conditions.
refers to the revolutionary impact of sensors, communications systems and advanced analytics that together provide new insights into ways of improving manufacturing. refers to the revolutionary impact of sensors, communications systems and advanced analytics that together provide new insights into ways of improving manufacturing.
Over time, the long-term effects of usage can wear away components and bring them closer to the end of their natural lifespan. Without data-driven insights provided by machine health monitoring and other solutions, there’s a danger of putting too much work into machines and disrupting systems.
Thinking maintenance and repair are equal in terms of the value they provide can lead to big problems in the long run. Maintenance refers to any proactive steps your technicians take to prevent regular wear and tear from impacting the performance and lifespan of your equipment. What is maintenance?
Like physical sensors, soft sensors report measurement data. In both approaches, software infers the value of the “measured” variable from other inputs, hence the term, “inferential sensor.” Being implemented as software rather than hardware, they are also sometimes referred to a “virtual sensors.” What are soft sensors?
Asset performance management is the process of capturing data, visualizing impacts, looking at the lifecycle and examining the reliability of your assets. This data will help you avoid unplanned downtime in manufacturing , amongst other benefits. How you report data, track your assets and predict maintenance are all part of this.
Particulate testing can also improve worker safety, as excess particulate can lead to acute respiratory issues and long-term health risks. An excess of particulate matter might indicate that equipment is operating out of spec and requires maintenance, for example, in machining applications where excess dust is generated.
Whereas a term like predictive maintenance refers to specific technology, hardware and methodology, precision maintenance takes a bigger-picture, strategic point of view. Improve processes based on data & employee feedback. 5 mins | Trending Topics | Industrial Maintenance, Industrial Technology. Let’s Talk.
Share Introduction to MRO inventory optimization In the context of optimizing inventory, MRO (Maintenance, Repair and Operations) refers to the processes that an organization uses to maintain a strategic balance between the costs of inventory and the availability of parts.
From there, the process continues by putting together a proposal, in terms the decision-makers can understand. Quantify benefits Determine the result of solving the problem in numerical terms. Gathering data Decision-makers will want quantification of the problem and the benefits. Getting these numbers requires data collection.
That component of the manufacturing industry outlook is derived from several underlying — and in some cases, ongoing — industry and macroeconomic factors that may threaten sustained growth in the near term. The longer-term outlook, through the next 12 to 18 months, may present more difficulty.
They view maintenance holistically in terms of addressing risk, costs and impact on their operations. As you gather information, such as through sensor data collection in the factory, you will be on pace to become a data-driven manufacturing company. Such details will also help you assess each device’s operational importance.
In terms of key performance indicators (KPIs), schedule compliance is indispensable, tying directly to preventive maintenance, labor efficiency, and equipment uptime. Regularly reviewing this data allows maintenance leaders to pinpoint recurring delays, adjust plans proactively, and drive continuous improvement across teams.
This is an important topic because, as it can make up a large proportion of the cost of goods sold (COGS), it has a big influence on profitability. They are sometimes referred to as “indirect costs” to differentiate them from the direct costs of raw materials and the labor used to run machines. Share What is manufacturing overhead?
However, the term is also used to refer to a measurement of the time that will be needed to complete that existing workload. With your worklist prioritized, you must assess which resources are needed over what timeline, what your maintenance team already has available in terms of resources and how to close the gap if there is one.
In their latest report on the topic, “ Second-life Electric Vehicle Batteries 2023-2033 “, IDTechEx analyses the various methods players are using to model and estimate important retired EV battery performance parameters. An Indian start-up, Oorja Energy, combine both physics-based and data-driven techniques.
The COP26 conference that took place towards the end of last year, and the introduction of sustainability goals by the UK government to be met by 2030, though, have pushed the topic to the top of the corporate and government agenda. This can be looked at in terms of trust.
Pareto analysis is a tool for prioritizing efforts in terms of scale of impact or size of benefits. The value of Pareto analysis is that it’s data driven. If groups or teams are unhappy with the priorities set as a result of the analysis, they need to identify deficiencies in the data that have led to, arguably, incorrect decisions.
The approach (or approaches — not every item needs the same level of attention) they select can be defined in terms of the Maintenance Maturity Model. Rather than monitoring one or a few items, it uses analytical tools that combine multiple data sources with comprehensive history to anticipate maintenance needs. Industry 4.0
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