BearingPoint's predictive maintenance approach supports clients to optimize asset availability, reduce failure rates and minimize downtimes. Clients will be able to predict breakdowns and initiate tangible actions to avoid them.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
The Predictive Maintenance solution accelerator is an end-to-end solution for a business scenario that predicts the point at which a failure is likely to occur. Use this solution accelerator proactively to optimize maintenance and to create automatic alerts and actions for remote diagnostics, maintenance requests, and other workflows. The solution combines key Azure IoT services like IoT Hub and Stream analytic.
Predictive Maintenance - Predict the UnpredictableIvo Andreev
Predictive maintenance is one of the hottest topics on the way to digitalization of all industry areas. Manufacturers have developed different levels of maturity. From visual inspection, through real-time condition monitoring, to recent times when big data analytics with the aid of machine learning allows identify meaningful patterns in vast amounts of data and generate new, actionable insights.
This session will step on a couple of real project challenges to propose credible approach towards utilization of latest generation technologies for predictive maintenance in Industry 4.0. Although Machine Learning in Azure will be used for simplicity and demonstration, the majority of takeaways are valid for a wide range of technologies.
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
Cognitive Predictive Maintenance for AutomotiveAnita Raj
In a world grappling with unanswered challenges and hidden data, the need of the hour is to unravel the dark mysteries that surround the auto industry today. It’s time to change the machine game and unlock the true human potential. It’s time to improve the overall quality of life for workers and passengers and ensure no leaf is unturned when it comes to safety and efficiency. Cognitive predictive maintenance is the game changer, that holds the key to minimizing auto recall.
The Predictive Maintenance solution accelerator is an end-to-end solution for a business scenario that predicts the point at which a failure is likely to occur. Use this solution accelerator proactively to optimize maintenance and to create automatic alerts and actions for remote diagnostics, maintenance requests, and other workflows. The solution combines key Azure IoT services like IoT Hub and Stream analytic.
Predictive Maintenance - Predict the UnpredictableIvo Andreev
Predictive maintenance is one of the hottest topics on the way to digitalization of all industry areas. Manufacturers have developed different levels of maturity. From visual inspection, through real-time condition monitoring, to recent times when big data analytics with the aid of machine learning allows identify meaningful patterns in vast amounts of data and generate new, actionable insights.
This session will step on a couple of real project challenges to propose credible approach towards utilization of latest generation technologies for predictive maintenance in Industry 4.0. Although Machine Learning in Azure will be used for simplicity and demonstration, the majority of takeaways are valid for a wide range of technologies.
One of the major challenges for Gas Turbine users is to ensure high level of engine availability and reliability, and efficient operation during their complete life-cycle. For this purpose, Various maintenance approaches have been introduced over the years for the gas turbine maintenance: Breakdown Maintenance or Run to Failure, Preventive Maintenance or Scheduled Maintenance and Condition-Based Maintenance (CBM). Here the focus is on CBM or predictive maintenance.
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
Management Information Systems presentation on Industry 4.0
-> A Timeline of Industrial Revolutions The Genesis of 4.0
-> Components of Industry 4.0 Why 4.0?
-> Use Cases
-> Smart Logistics and Warehousing Quality Management
-> The Future Ahead: 5.0?
A study of Machine Learning approach for Predictive Maintenance in Industry 4.0Mohsen Sadok
I am delighted to share with you my graduation project presentation submitted for the award of Bachelor degree in #electromechanical_engineering.
#subject : A study of machine Learning approach for predictive maintenance in industry 4.0
>> the aim of the project is to Build and Develop Machine Learning models to predict Time-To-Failure (TTF) or Remaining Useful Life (RUL) of in-service equipment in order to pre-emptively trigger a maintenance visit to avoid adverse machine performance and minimizing the number and cost of unscheduled machine failures.
Technologies used: #Python, #TensorFlow, #Keras, #Sklearn, #RNN_LSTM, #XGboost, #LightGBM, #CATboost, #KNN, #SVM, #GaussianNB
>>> The Global Predictive Maintenance Market size is expected to reach $12.7 billion by 2025, rising at a market growth of 28.4% CAGR during the forecast period
#July_2019
#machine_learning
#deep_learning
#predictive_maintenance
#industry_4.0
(confidential details not presented)
LinkedIN : https://www.linkedin.com/posts/mohsen-sadok-254b0a110_a-study-of-machine-learning-approach-for-activity-6550815214206627840-Pq3G
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Industry 4.0 promises great increase in productivity and profitability. This presentation covers the basics of this new manufacturing approach and it separates facts from fiction.
- A new Microsoft via AI and IoT
- Smart Manufacturing - quick steps and ready to go preconfigured solution to jumpstart
- AI - computer vision and AOI in manufacturing
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
A presentation on the Industry 5.0 evolution which builds upon Industry 4.0 and Society 5.0 to reintroduce the lost social, environment and human dimensions.
We’re in the midst of a significant transformation regarding the way we produce products thanks to the digitization of manufacturing. This compelling transition is called Industry 4.0 – which is a representation of the fourth revolution that has occurred in manufacturing. Like the three industrial revolutions which preceded it – steam power, mass production/electricity, digital age – Industry 4.0 will transform local and global economies and create a new future for us all.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Helping Industrial OEMs improve asset uptime and service profitability through end-to-end M2M design and deployment support, remote monitoring, data management, prognostics and in depth analytics
Design, transform and run intelligent industrial asset optimization operations Genpact Ltd
Manufacturing companies can utilize analytics led asset optimization solutions to enable greater control over performance and utilization, increasing revenues while reducing service costs.
How the Digital Transformation is going to change the world of Work 4.0 with respect to the Introduction of Industry 4.0 technology. Will Jobs reduce or we will have more jobs with higher pay. An interesting analysis.
Management Information Systems presentation on Industry 4.0
-> A Timeline of Industrial Revolutions The Genesis of 4.0
-> Components of Industry 4.0 Why 4.0?
-> Use Cases
-> Smart Logistics and Warehousing Quality Management
-> The Future Ahead: 5.0?
A study of Machine Learning approach for Predictive Maintenance in Industry 4.0Mohsen Sadok
I am delighted to share with you my graduation project presentation submitted for the award of Bachelor degree in #electromechanical_engineering.
#subject : A study of machine Learning approach for predictive maintenance in industry 4.0
>> the aim of the project is to Build and Develop Machine Learning models to predict Time-To-Failure (TTF) or Remaining Useful Life (RUL) of in-service equipment in order to pre-emptively trigger a maintenance visit to avoid adverse machine performance and minimizing the number and cost of unscheduled machine failures.
Technologies used: #Python, #TensorFlow, #Keras, #Sklearn, #RNN_LSTM, #XGboost, #LightGBM, #CATboost, #KNN, #SVM, #GaussianNB
>>> The Global Predictive Maintenance Market size is expected to reach $12.7 billion by 2025, rising at a market growth of 28.4% CAGR during the forecast period
#July_2019
#machine_learning
#deep_learning
#predictive_maintenance
#industry_4.0
(confidential details not presented)
LinkedIN : https://www.linkedin.com/posts/mohsen-sadok-254b0a110_a-study-of-machine-learning-approach-for-activity-6550815214206627840-Pq3G
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Industry 4.0 promises great increase in productivity and profitability. This presentation covers the basics of this new manufacturing approach and it separates facts from fiction.
- A new Microsoft via AI and IoT
- Smart Manufacturing - quick steps and ready to go preconfigured solution to jumpstart
- AI - computer vision and AOI in manufacturing
Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution.
A presentation on the Industry 5.0 evolution which builds upon Industry 4.0 and Society 5.0 to reintroduce the lost social, environment and human dimensions.
We’re in the midst of a significant transformation regarding the way we produce products thanks to the digitization of manufacturing. This compelling transition is called Industry 4.0 – which is a representation of the fourth revolution that has occurred in manufacturing. Like the three industrial revolutions which preceded it – steam power, mass production/electricity, digital age – Industry 4.0 will transform local and global economies and create a new future for us all.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Helping Industrial OEMs improve asset uptime and service profitability through end-to-end M2M design and deployment support, remote monitoring, data management, prognostics and in depth analytics
Design, transform and run intelligent industrial asset optimization operations Genpact Ltd
Manufacturing companies can utilize analytics led asset optimization solutions to enable greater control over performance and utilization, increasing revenues while reducing service costs.
Helping businesses conduct post-payment audit to recover excess payment from suppliers – through spend analytics and a continuous process improvement to eliminate sources of leakage.
Warranty Master Breakout Session at IT Nation Connect 2019Allice Shandler
"How to Sell More and Service Less with Automated Asset Lifecycle Management"
Learn why thousands of MSPs voted Warranty Master “Best Revenue Opportunity” and “Best in Show” at DattoCon 2019. Award-winning 25 year Channel veteran, Warranty Master CEO, Dan Wensley along with special guest Mike Brooks from audIT share the impact Asset Lifecycle Management (ALM) has on both an IT Service Provider and their customers. Hear about the process that lead one New Jersey based MSP to increase their revenue by over $500,000.
During this dynamic session you’ll learn how ALM:
- Provides a sales pipeline for your business and a budget plan for your customers
- Automates manual processes and lowers service delivery costs
- Improves network performance and security for your customers
- Provides best practices for conducting Quarterly Business Reviews (QBRs)
Achieving “services” business process excellence: Metrics-driven best practic...Genpact Ltd
With Aftermarket Services (AMS) rapidly becoming both a competitive differentiator and a growth mechanism, manufacturers would do well to shift to a service factory model, which can reduce service costs for AMS by 20% and increase service revenue by 25%.
Improving Power Grid Reliability Using IoT AnalyticsDatabricks
Society depends on reliable utility services to ensure the health and safety of our communities. Electrical grid failures have impact and consequences that can range from daily inconveniences to catastrophic events. Ensuring grid reliability means that data is fully leveraged to understand and forecast demand, predict and mitigate unplanned interruptions to power supply, and efficiently restore power when needed. Neudesic, a Systems Integrator, and DTE Energy, a large electric and natural gas utility serving 2.2 million customers in southeast Michigan, partnered to use large IoT datasets to identify the sources and causes of reliability issues across DTE’s power distribution network. In this session, we will demonstrate how we ingest hundreds of millions of quality measures each day from DTE’s network of smart electric meters. This data is then further processed in Databricks to detect anomalies, apply graph analytics and spatially cluster these anomalies into “hot spots”. Engineers and Work Management Experts use a dashboard to explore, plan and prioritize diverse actions to remediate the hot spots. This allows DTE to prioritize work orders and dispatch crews based on impact to grid reliability. Because of this and other efforts, DTE has improved reliability by 25% year over year. We will demonstrate our notebooks and machine learning models along with our dashboard. We will also discuss Spark streaming, Pandas UDF’s, anomaly detection and DBSCAN clustering. By the end of our presentation, you should understand our approach to infer hidden insights from our IoT data, and potentially apply similar techniques to your own data.
The Science of Predictive Maintenance: IBM's Predictive Analytics SolutionSenturus
Overview of IBM’s Predictive Maintenance and Quality (PMQ) solution. View the webinar video recording and download this deck: http://www.senturus.com/resources/science-predictive-maintenance/.
We show you the PMQ solution can keep manufacturing processes, infrastructure and field equipment running to maximize use and performance, while minimizing costs.
We show how you can use powerful analytics and data integration to help: Anticipate asset maintenance and product quality problems, Reduce unscheduled asset downtime, Spend less time solving production machinery and field asset problems, Improve asset productivity and process quality, Monitor how assets are performing in real-time and predict what will happen next.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
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
An Oversight or a New Customer Phenomenon, Getting the Most of your Contact C...Cisco Canada
As corporations consistently seek to maximize customer loyalty, secure predictable revenue, gain a competitive advantage and ensure customer satisfaction, more than often the words ‘Contact Center’ are never spoken. Much of the budget is allocated to the corporate marketing groups as they unveil flashy new websites, packaging and literature targeted for new and existing customers. More often than not, the Contact Center which is a critical portal to these customers is neglected with respect to revenue generation and customer loyalty.
A Next-Generation Approach to Integrated Warranty ManagementCognizant
For today's manufacturers, warranty management is one of the most tangible customer-facing functions. A next-generation, closed-loop warranty system can help companies automate and integrate warranty-related data to enhance field service and improve the management of returns, repairs and claims.
Making the Business Case for Remote Service CapabilitiesPTC
Manufacturers are looking to make their service more efficient and more profitable. Adopting remote service capabilities allows OEMs to move from vendor to partner, building customer trust along the way.
Maximizing service profitability at optimized cost to serve: Next generation ...Genpact Ltd
Stock prices are rising for companies with higher services than product revenue growth, which means that every company should be looking at optimizing their service delivery model for Aftermarket Services (AMS). The proper confluence of people, process, and technology will provide next generation service and business process execution.
BearingPoint‘s Marketing Operations Grid is a systematic approach to address the organizational changes and challenges faced when taking marketing automation to the next level (stepping up the game in terms of marketing automation). It supports mapping out roles and responsibilities, as well as key competencies that shape the future marketing organization in the context of state-of-the-art marketing technology.
Oil and Gas companies are facing energy transition with a significant increase in energy demand, but also a shift towards a lower carbon fuel mix. In addition, digitalization is disrupting manifested business models. A new way of business steering and planning is required to cope with these challenges in order to shape a successful strategy for the future.
BearingPoint's operational excellence approach in CPG Manufacturing primarily aims to reduce costs in production and to support clients in their transformation journey. Our operational excellence approach contributes to the creation of a culture of continuous improvements in factories.
Visual Analytics combines human intuition and data science to derive knowledge from the data in a very efficient, effective and easy way. Visual Analytics empowers your people to interact with the data and generate new insights.
BearingPoint's SAM approach enables customers to have control over the risks and complexities of software entitlements, optimize the use of software assets and minimize license consumption and costs. Customers will be able to make smarter decisions based on data they can trust.
BearingPoint helps clients develop a Customer Relationship Management platform to orchestrate and enhance sales, customer and activity management with the help of a comprehensive transparent and user-friendly UI design.
The Factory Navigator is an innovative simulation and analytics software designed to improve logistics processes and support complex decision making across industries.
BearingPoint’s “Connectivity for IoT” (Internet of Things)
approach supports industrial customers launching IoT based
solutions. Our accelerator aims to cut time and to reduce costs
to design and deploy mobile connectivity ecosystems. Our
customers will take advantage of BearingPoint’s cross-boarder
IoT experience.
BearingPoint has developed a comprehensive approach to deal with large workspace outfit projects, managed as real “transformation” projects involving major changes around work modes, workspaces and IT/digital equipment.
This proven award winning Treasury solution allows you to align, centralize and optimize your payment and collection processes across your entire group.
As the IT footprint expands in the organization, CIOs budgets keep growing, some having multi-billion annual budgets in the case of large organizations.
CXOs require CIOs to provide cost transparency, control, as well as cost optimization and efficiency. We offer a unique combination of consulting service and an application to enhance your visibility on IT costs and ease communication.
Cloud Navigator is our tried and trusted way of helping you navigate quickly and effectively through the cloud. We offer incorporated cloud computing into your strategy, assessment of cloud computing scenarios & options, security & compliance check, sourcing & transformation advice, as well as adaptation of governance & operation.
Many mid- to small-size insurance companies strive to run SAP
solutions in asset accounting and reporting (SAP CML, SAP
CFM) but are not ready to invest heavily in implementing and
running SAP. The cloud technology will allow these companies
to exploit the advantages of a SAP based solution without
major upfront investment in technical infrastructure, licensing
and consulting fees. A template based SAP CML/CFM run in
the Cloud will address this issue.
Huge deviations between actual and planned transport costs? Need for transport cost allocation down to product level? Unclear contribution margins of your customers? More than ten CO2 data requests from your customers per month? Annual requests from rating agencies to supply CO2 data? Carbon reduction goals include logistics? If those challenges are relevant for you, LogCOST can help you!
The low-interest period is forcing most insurers to control and monitor their financial investments. In contrast to a risk focused
approach seen in recent years, yield controlling and monitoring will have top priority. In order to reach this goal, many
insurers are modernizing and enhancing their data warehouses. BearingPoint is offering a predefined investment data warehouse comprising the most required KPIs, reports and the underlying data model.
Tool for individual and industry insurance Effcient solution to combine individualization and standardization for the quotation and policy process. Universal is a web-based solution for insurance companies to create standardized processes, business rules and modular products. It supports the insurance underwriter in managing the whole contract lifecycle in only one application, and ensures the traceability of all individually created products and product generations. It is compatible with other quotation and policy systems, and decreases the complexity of the IT infrastructure.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
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.
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"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
As a business owner in Delaware, staying on top of your tax obligations is paramount, especially with the annual deadline for Delaware Franchise Tax looming on March 1. One such obligation is the annual Delaware Franchise Tax, which serves as a crucial requirement for maintaining your company’s legal standing within the state. While the prospect of handling tax matters may seem daunting, rest assured that the process can be straightforward with the right guidance. In this comprehensive guide, we’ll walk you through the steps of filing your Delaware Franchise Tax and provide insights to help you navigate the process effectively.
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.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Taurus Zodiac Sign_ Personality Traits and Sign Dates.pptxmy Pandit
Explore the world of the Taurus zodiac sign. Learn about their stability, determination, and appreciation for beauty. Discover how Taureans' grounded nature and hardworking mindset define their unique personality.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Exploring Patterns of Connection with Social Dreaming
Predictive Maintenance
1. Predictive
Maintenance
A BearingPoint Accelerator
BearingPoint’s predictive maintenance approach
supports clients to optimize asset availability,
reduce failure rates and minimize downtimes.
Clients will be able to predict breakdowns and
initiate tangible actions to avoid them.
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3. Predictive Maintenance | A BearingPoint Accelerator
Market Drivers
Maintenance and service management are becoming important competitive factors. Optimal asset
availability, low failure rates and short downtimes at an optimum cost are factors that determine the success
and failure of all maintenance-intensive industries.
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Competitive pressure
Increased competitive
pressure due to globalization
leads to increased cost
pressure on companies.
Maintenance must ensure the
flexible availability of assets
considering production
demands while improving
efficiency.
Complexity of the value
chain
The complexity of the entire
value-added chain has
increased through global
action. This also affects
maintenance, which has to
deal with new challenges in
order to ensure the
productivity of the company.
Change of customer
behavior
The behavior of customers
has changed due to new
markets. Furthermore, the
product lifecycle has declined
significantly. Customers
require more personalized
services at a lower costs. The
time-to-market has also
declined and thereby creates
pressure for companies in the
long term.
Competitive advantages
Companies have to preserve
their advantages, especially
technology advantages. This
signifies that companies have
to optimize their entire
processes in order to increase
efficiency.
Sustainability
Due to a resource shortage,
rising energy costs and a
changed perception,
companies have to operate
sustainably. Customers
expect companies to act
sustainably.
4. Predictive Maintenance | A BearingPoint Accelerator
Market Drivers
New technologies in the context of digitization enable the implementation of innovative maintenance and
service strategies.
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Reactive
Maintenance
• Repairs in case of
damage or failures
• Classical approach to
maintenance
Preventive
Maintenance
• Habitually scheduled
maintenance and
inspections
• Classic time or
performance-based
approach
40 % growth in the use
of business networks
over the past 2 years
90% of the data stored
on earth have been
generated over the past
2 years
212 Bil. "Things" will
be connected by the end
of 2020
58% of all companies
see IoT as having
strategic relevance
Remote Monitoring
• Visualization and
analysis via sensors -
recorded M2M data
• Warning messages on
terminals
corresponding to
variable limits
• Reports on machine
health
Predictive
Maintenance
• Prediction of machine
health
• Root-cause analysis for
optimized development
• Error pattern analysis
via unstructured data
Time
Maturityofmaintenance
5. Predictive Maintenance | A BearingPoint Accelerator
Our Approach
With BearingPoint’s approach, clients will be able to collect and analyze big data, monitor asset conditions,
predict breakdowns, initiate adequate measures and tangible results in maintenance and service management.
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Prediction
System
monitoring
Concrete
actions
and results
Process
data
ERP
data
MES
data
Machine
data
Environment
variables
Log
Files
Increase asset
availability
Optimize
maintenance cycles
Increase process
efficiency
Bundle resources
Technical materials
management
Remote service
6. Predictive Maintenance | A BearingPoint Accelerator
Our Approach
BearingPoint provides a lean, agile and scalable approach for digital transformation within maintenance and
service management. This approach yields results within a very short amount of time, investment risks remain
manageable and the acceptance of employees is continuously promoted.
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Vision
Mission Statement
Derive
Action Plan
Establish
Prototype
Scale Up
Expand Improve
7. Predictive Maintenance | A BearingPoint Accelerator
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Client Benefits
Due to the scaling, optimizing and extending of the process, a continually increasing benefit for the customer
is achieved long term. Both direct and indirect cost advantages are achieved, as well as an optimization of the
processes in adjacent business areas.
Scale Up
Expand Improve
Cost reduction
Increase asset availability
Increase process efficiency
Increase customer
satisfaction
Optimize resource
management
Optimize equipment &
assets with R&D
8. Predictive Maintenance | A BearingPoint Accelerator
References
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Challenges
• Due to faulty maintenance programs in
production there are unexpected breakdowns
and there is a 10-14% higher need of energy
• Predictive maintenance should increase the
efficiency of electro motors and avoid
unplanned breakdowns
• Due to obsolete lubricant or lack of
maintenance electric motors lose efficiency
This leads to an increase of energy
consumption and unexpected breakdowns
Our Approach
BearingPoint took part in the development of a
maintenance log about every individual electro
engine, which included all historical
maintenance activities and all necessary
parameters concerning the assets (e.g.
manufacturer, model, serial number,
environment data).
By linking this data with real time data (Internet
of things) and the use of predictive analytics, the
customer was able to recognize inefficiency or
even breakdowns of the engine in the future
Client benefits
The tool and optimization of the process
facilitates the customer in many cases to
forecast the optimal time for maintenance
This data is always available online for the
customer
Due to this, customer satisfaction increased
dramatically and unexpected breakdowns were
reduced by ~25 %
Leading automobile manufacturer
Challenges
• Bottlenecks in the production line
• Shutdowns without obvious reasons: complex
issues require expert knowledge
• Disorders affect profit dramatically and
just-in-time deliveries failed. Therefore,
penalties were the consequence
Our Approach
Optimization of the useful life of an expensive
grinding wheel. The result of the failures are high
downtimes for the production line.
Data from all possible sources: maintenance,
supplier, manufacturing, materials, layers,
upstream production sensors, etc.
Output / target variables: Breaking / no breaking
Client benefits
Pairwise arrangement of certain types of
grinding wheels (vibration test) with specific
process parameters resulted in insufficient results.
Preventive adjustments of the maintenance plan
on the existing limit beyond: savings ~ 0.4 M € /
year
Specialized engineering company
9. Predictive Maintenance | A BearingPoint Accelerator
References
CLIENT BENEFITSOUR APPROACHMARKET DRIVERS REFERENCES CONTACT< >
Challenges
• Deterioration of network quality
• Difficult to research reasons for power failures
• Only reactive actions possible in case of
failures
Our Approach
BearingPoint assisted the customer in achieving
short-term and long-term solutions:
• Short-term solution
Implementation of early warning dashboards
to shorten response times and to identify
problems in the network faster
• Long-term solution
Create extensive data warehouses
Implementation of data mining technology
and methodology
Client benefits
Through BearingPoint’s solution the customer
was able to:
• Identify network failures before they
happened
• Systematically detect critical software /
hardware setups
• Detect faults in the network, as well as late
ticket creation
• Perform preventive maintenance and increase
of customer satisfaction
German network provider
Challenges
• Faults will be eliminated after customer calls
the service center
• System information is not analyzed
continuously
• Erosion of the plant can only be detected and
eliminated by on-site inspections
Our Approach
BearingPoint provided a solution with three
features:
• E-Diagnostic to recognize and diagnose
problems and reduce mean time to repair
• E-Inspection to carry out remote maintenance
and reduction of on-site services
• E-Monitoring to monitor the live feedback of
elevators and analysis of faults
Client benefits
The solution helps the customer to minimize
downtimes through proactive and continuous
care of plants, provide reliable information for
the customer via different channels and
reduction of pre-inspections due to solving
problems by E-intervention
Leading equipment manufacturer