Manufacturers have long battled the menace of sudden equipment breakdown, leading to unplanned
downtime that hinders productivity, timely deliveries, and painful losses. The ecosystem has consistently
experimented with multiple approaches that can help them foresee possibilities of equipment
breakdown and prevent them in a timely manner. The initial reactive approach to breakdowns was
inefficient, leading to extensive losses and adding unimaginable stress to all the stakeholders. Preventive
maintenance came as a precious solution,
Proactive computing in industrial maintenance decision makingALEXANDROS BOUSDEKIS
Proactive event-driven computing refers to the use of event-driven information systems having the ability to eliminate or mitigate the impact of future undesired events, or to exploit future opportunities, on the basis of real-time sensor data and decision making technologies. Maintenance management can benefit from these advancements in order to tackle with the increasing challenges in today’s dynamic and complex manufacturing environment in the context of Industry 4.0.
To this end, the current thesis combines and brings together the research fields of Industry 4.0, Maintenance Management and Proactive Computing in order to frame maintenance management and information systems in the context of Industry 4.0. Therefore, it paves the way for the next generation of maintenance manage-ment in the frame of Industry 4.0, i.e. Proactive Maintenance. The focus of the cur-rent thesis is on proactive decision making. Consequently, it proposes proactive de-cision methods, capable of handling uncertainty, applicable to maintenance man-agement and its interrelationships with other manufacturing operations, algorithms for continuous improvement of proactive decision making through the proposed Sensor-Enabled Feedback (SEF) approach and algorithms for context-awareness in proactive decision making. To do this, it utilizes methods and techniques for opera-tional research, data analytics and machine learning.
The aforementioned algorithms have been embedded in a proactive information system for decision making which was integrated with other tools in order to imple-ment all the steps of the Proactive Maintenance framework. The system has been deployed and evaluated in real industrial environment, while further evaluation was conducted with extensive simulation experiments. Finally, the lessons learned and the managerial implications of the proposed approaches are discussed.
Devising an ideal building maintenance strateg1 https://clevair.io/Clevair
We keep living and work facilities streamlined, comfortable and maximum-productive by integrating, maintaining and installing top quality building management systems (BMS). Our BMS solutions improve the performance of building systems, increase energy efficiency while reducing maintenance costs.
https://clevair.io/blog/devising-an-ideal-building-maintenance-strategy-predictive-maintenance-vs-reactive-maintenance/
How to switch from reactive maintenance to preventive maintenance complete ...BryanLimble
To show you that the switch from reactive to preventive maintenance doesn’t have to be hard, complicated, and expensive, we devised this comprehensive step-by-step guide that will guide you through the whole process.
The Best of Times & the Worst of Times for the Internet of Thingskehrman
This comprehensive look at the Internet of Things shows how the tech has progressed over the last 25 years, as well as how you can best utilize IoT changes to reduce costs and increase ROI.
This report addresses the common challenge of BMS cyber security and its underlying components. Vulnerable elements across a range of components were investigated, with the vulnerabilities potentially affecting more than 10 million people.
During the research, some of the risks discovered within these BMS components include the potential ability for threat actors to:
Remotely lock or unlock doors and gates;
Control physical access of restricted areas;
Deny service (shutdown controllers);
Manipulate alarms and video surveillance;
Control temperature, boilers, air-condition, windows blinds, gas readings, etc.
Through a detailed analysis of the affected components, we provide clear cyber security recommendations for end users, vendors and system integrators, as well as a thorough technical breakdown including Proof of Concept exploit code, which allow unauthenticated remote code execution against the affected BMS products.
https://applied-risk.com/resources/i-own-your-building-management-system
Proactive computing in industrial maintenance decision makingALEXANDROS BOUSDEKIS
Proactive event-driven computing refers to the use of event-driven information systems having the ability to eliminate or mitigate the impact of future undesired events, or to exploit future opportunities, on the basis of real-time sensor data and decision making technologies. Maintenance management can benefit from these advancements in order to tackle with the increasing challenges in today’s dynamic and complex manufacturing environment in the context of Industry 4.0.
To this end, the current thesis combines and brings together the research fields of Industry 4.0, Maintenance Management and Proactive Computing in order to frame maintenance management and information systems in the context of Industry 4.0. Therefore, it paves the way for the next generation of maintenance manage-ment in the frame of Industry 4.0, i.e. Proactive Maintenance. The focus of the cur-rent thesis is on proactive decision making. Consequently, it proposes proactive de-cision methods, capable of handling uncertainty, applicable to maintenance man-agement and its interrelationships with other manufacturing operations, algorithms for continuous improvement of proactive decision making through the proposed Sensor-Enabled Feedback (SEF) approach and algorithms for context-awareness in proactive decision making. To do this, it utilizes methods and techniques for opera-tional research, data analytics and machine learning.
The aforementioned algorithms have been embedded in a proactive information system for decision making which was integrated with other tools in order to imple-ment all the steps of the Proactive Maintenance framework. The system has been deployed and evaluated in real industrial environment, while further evaluation was conducted with extensive simulation experiments. Finally, the lessons learned and the managerial implications of the proposed approaches are discussed.
Devising an ideal building maintenance strateg1 https://clevair.io/Clevair
We keep living and work facilities streamlined, comfortable and maximum-productive by integrating, maintaining and installing top quality building management systems (BMS). Our BMS solutions improve the performance of building systems, increase energy efficiency while reducing maintenance costs.
https://clevair.io/blog/devising-an-ideal-building-maintenance-strategy-predictive-maintenance-vs-reactive-maintenance/
How to switch from reactive maintenance to preventive maintenance complete ...BryanLimble
To show you that the switch from reactive to preventive maintenance doesn’t have to be hard, complicated, and expensive, we devised this comprehensive step-by-step guide that will guide you through the whole process.
The Best of Times & the Worst of Times for the Internet of Thingskehrman
This comprehensive look at the Internet of Things shows how the tech has progressed over the last 25 years, as well as how you can best utilize IoT changes to reduce costs and increase ROI.
This report addresses the common challenge of BMS cyber security and its underlying components. Vulnerable elements across a range of components were investigated, with the vulnerabilities potentially affecting more than 10 million people.
During the research, some of the risks discovered within these BMS components include the potential ability for threat actors to:
Remotely lock or unlock doors and gates;
Control physical access of restricted areas;
Deny service (shutdown controllers);
Manipulate alarms and video surveillance;
Control temperature, boilers, air-condition, windows blinds, gas readings, etc.
Through a detailed analysis of the affected components, we provide clear cyber security recommendations for end users, vendors and system integrators, as well as a thorough technical breakdown including Proof of Concept exploit code, which allow unauthenticated remote code execution against the affected BMS products.
https://applied-risk.com/resources/i-own-your-building-management-system
MT85 Challenges at the Edge: Dell Edge GatewaysDell EMC World
"Fog architecture for computing at the edge of the network utilizes edge gateways to aggregate data from multiple devices, perform edge analytics and take real-time action, and introduce data and network security at the edge. This session will explore the differences between traditional proprietary gateways and Dell's intelligent edge gateways including communication protocols, operating systems, and software and hardware-level security.
"
When data that is critical to cybersecurity tools remains in silos, everyone loses. This siloed approach diminishes the value of the data and leaves organizations with incomplete visibility, significant management overhead, and uncertainty about which security tools are actually necessary to ingest and analyze the data to protect the business.
These slides--based on the webinar--help answer the following questions:
- Which cybersecurity tools are necessary for full internal and external coverage, and which are redundant or outdated?
-What are the signs that a vendor can back up their promises, or that they’re exaggerating their product’s capabilities?
-How can you leverage machine learning to reduce security response time?
- How can you combine the strengths of a big data model with adaptive machine learning for more accurate, effective security protection and detection capabilities?
A Study of Automated Decision Making Systemsinventy
The decision making process of many operations are dependent on analysing very large data sets, previous decisions and their results. The information generated from the large data sets are used as an input for making decisions. Since the decisions to be taken in day to day operations are expanding, the time taken for manual decision making is also expanding. In order to reduce the time, cost and to increase the efficiency and accuracy, which are the most important things for customer satisfaction, many organisations are adopting the automated decision making systems. This paper is about the technologies used for automated decision making systems and the areas in which automated decisions systems works more efficiently and accurately.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
Automation of Information (Cyber) Security by Joe HessmillerJoe Hessmiller
The focus is on physical and logical security vulnerabilities. Yes, locks and malware sandboxes are important. BUT, the biggest potential risk comes from inside. From the people who can - intentionally or unintentionally - expose the organization to the greatest risks. This presentation is about automating the process to control those risks.
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
David Gritz answers:
Is automated decision technology right for my company?
How can companies reduce tedious and repetitive decisions such as order entry?
What are examples of industries that have started to use automated decision technologies?
Mr. Richard Rawcliffe (DELl EMC) - Data-driven systems medicinemntbs1
The summary of Mr. Richard Rawcliffe's presentation from the Jun 11-12th 2019 event Data-driven systems medicine at Cardiff University Brain Research Imaging Centre.
AI revolutionizes predictive maintenance by leveraging machine learning algorithms to analyze data from sensors, predicting equipment failures before they occur. This proactive approach enhances efficiency, reduces downtime, and optimizes maintenance schedules, leading to substantial cost savings. AI's role in anomaly detection and predictive analytics transforms traditional maintenance practices, ensuring businesses stay competitive in an ever-evolving industrial landscape.
Smart Manufacturing: A Revolution in Industry 4.0 | Enterprise WiredEnterprise Wired
This article explores the multifaceted landscape of smart manufacturing, delving into its key principles, transformative technologies, applications across various industries, and the profound impact it has on shaping the future of manufacturing.
MT85 Challenges at the Edge: Dell Edge GatewaysDell EMC World
"Fog architecture for computing at the edge of the network utilizes edge gateways to aggregate data from multiple devices, perform edge analytics and take real-time action, and introduce data and network security at the edge. This session will explore the differences between traditional proprietary gateways and Dell's intelligent edge gateways including communication protocols, operating systems, and software and hardware-level security.
"
When data that is critical to cybersecurity tools remains in silos, everyone loses. This siloed approach diminishes the value of the data and leaves organizations with incomplete visibility, significant management overhead, and uncertainty about which security tools are actually necessary to ingest and analyze the data to protect the business.
These slides--based on the webinar--help answer the following questions:
- Which cybersecurity tools are necessary for full internal and external coverage, and which are redundant or outdated?
-What are the signs that a vendor can back up their promises, or that they’re exaggerating their product’s capabilities?
-How can you leverage machine learning to reduce security response time?
- How can you combine the strengths of a big data model with adaptive machine learning for more accurate, effective security protection and detection capabilities?
A Study of Automated Decision Making Systemsinventy
The decision making process of many operations are dependent on analysing very large data sets, previous decisions and their results. The information generated from the large data sets are used as an input for making decisions. Since the decisions to be taken in day to day operations are expanding, the time taken for manual decision making is also expanding. In order to reduce the time, cost and to increase the efficiency and accuracy, which are the most important things for customer satisfaction, many organisations are adopting the automated decision making systems. This paper is about the technologies used for automated decision making systems and the areas in which automated decisions systems works more efficiently and accurately.
How can Digital Twins Drive Healthcare Transformation?Way2Smile
Digital Twins can now be the future of all businesses.
In this blog, we have discussed the role of Digital Twins in the Healthcare industry.
Learn More at - https://bit.ly/3n2CPn9.
Automation of Information (Cyber) Security by Joe HessmillerJoe Hessmiller
The focus is on physical and logical security vulnerabilities. Yes, locks and malware sandboxes are important. BUT, the biggest potential risk comes from inside. From the people who can - intentionally or unintentionally - expose the organization to the greatest risks. This presentation is about automating the process to control those risks.
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
David Gritz answers:
Is automated decision technology right for my company?
How can companies reduce tedious and repetitive decisions such as order entry?
What are examples of industries that have started to use automated decision technologies?
Mr. Richard Rawcliffe (DELl EMC) - Data-driven systems medicinemntbs1
The summary of Mr. Richard Rawcliffe's presentation from the Jun 11-12th 2019 event Data-driven systems medicine at Cardiff University Brain Research Imaging Centre.
AI revolutionizes predictive maintenance by leveraging machine learning algorithms to analyze data from sensors, predicting equipment failures before they occur. This proactive approach enhances efficiency, reduces downtime, and optimizes maintenance schedules, leading to substantial cost savings. AI's role in anomaly detection and predictive analytics transforms traditional maintenance practices, ensuring businesses stay competitive in an ever-evolving industrial landscape.
Smart Manufacturing: A Revolution in Industry 4.0 | Enterprise WiredEnterprise Wired
This article explores the multifaceted landscape of smart manufacturing, delving into its key principles, transformative technologies, applications across various industries, and the profound impact it has on shaping the future of manufacturing.
Assets Management in Utilities Industry.pptxGenicAssets
Dive into the World of Asset Management in Utilities! Our PowerPoint presentation explores the profound impacts of asset management on utility companies. Discover how efficient asset management can boost reliability, reduce costs, and drive sustainable operations. Stay tuned for valuable insights!
IIoT definition. The IIoT consists of internet-connected machinery and the advanced analytics platforms that process the data they produce. IIoT devices range from tiny environmental sensors to complex industrial robots.
IIoT is the next level of IoT technology and is unique in the way its application has completely transformed manufacturing. Companies today that are looking for a competitive advantage need look no further than the capabilities that IIoT affords you – the benefits impact everything from maintenance to supplier logistics to employee workflows to product delivery.
Beyond Predictive and Preventive MaintenanceHarshad Shah
Did you know you could save up to 18% with a Predictive Maintenance Management Strategy?
Predictive and Preventive Maintenance is a well-known term and most know what it entails but have you looked past the strategy checklist? Here is for a more in-depth look beyond Predictive and Preventive Maintenance.
Industrial IoT: Applications, Benefits, And Challenges | Enterprise WiredEnterprise Wired
Here Are Some Benefits of Industrial IoT: 1. Improved Operational Efficiency, 2. Cost Reduction, 3. Enhanced Productivity, 4. Strategic Decision-Making, 5. Innovation and Agility.
Let’s read more on What Are Digital Twins in Manufacturing & How Do Digital Twins Work?
1. Data Collection
2. Data Integration
3. Modeling and Simulation
4. Real-Time Monitoring
Learn how Hitachi is applying AI to the utility industry through visual intelligence solutions to automate the inspection of power grid infrastructure and assets, increasing their reliability, safety and resilience.
IoT Development In Manufacturing A Guide to Industrial Digital Transformation...Laura Miller
IoT helps manufacturers to streamline operations & boost productivity with ease. Read the blog to know how the IoT development brings digital transformation.
At the digital conference The Future of AI & Big Data Analytics, Dr. Cyrille Waguet speaks about AI for resilient infrastructure.
Dr. Cyrille Waguet is serial entrepreneur of deep tech startups in the area of mass data processing and AI. In his current role as CTO of incontext.technology (INCTEC) he shapes tech future with smart monitoring software for the intelligent enterprise. Its unleashes data insights from equipment, machines and critical infrastructures to continuously improve operational processes and business performance. With over 20 years of experience in the development of data-intensive applications he is an outstanding expert on predictive analysis, industrial IoT and AI.
A survey by Schneider Electric in the US revealed that predictive maintenance services can lead to 25% reduction in cost. Learn about industrial IoT framework that enables PdM
The Most Definitive guide to Industrial IoT ImplementationAditya Basu
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
IOT Development in Manufacturing A Guide to Industrial Digital Transformation...Laura Miller
IoT helps manufacturers to streamline operations and boost productivity with ease. Read the blog to know how the IoT development brings digital transformation.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
An introduction to the cryptocurrency investment platform Binance Savings.Any kyc Account
Learn how to use Binance Savings to expand your bitcoin holdings. Discover how to maximize your earnings on one of the most reliable cryptocurrency exchange platforms, as well as how to earn interest on your cryptocurrency holdings and the various savings choices available.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html