Predictive Maintenance (with R)
|
|
- Pamela Owens
- 8 years ago
- Views:
Transcription
1 Predictive Maintenance (with R)
2 Over the course of the next 15 to 20 years the global economy will continue to progress further, heading towards a promising future full of opportunities especially within the sector of manufacturing and industrial production. However, industrial production in the 21st century will also continue to encounter numerous and diverse challenges as for instance the increasing international competition, shorter product life cycles and faster technological leaps forward just to mention a few. Also, there will be an additional structural shift of machinery demand as well as of production from developed countries to emerging countries such as China. Companies operating in the industrial production branch have to anticipate the future developments and start to prepare by putting things on the right track. In order to survive in an environment like this, resource-efficient and secure planning of production processes are of main importance to guarantee a consistent and high quality output. To be able to realize the full potential of industrial production, and to meet the changing requirements of the business environment, the German government developed a high-tech strategy across different fields of action including communication and technological innovations. In the course of this strategy the Industry 4.0 project was created. While the term Industry 4.0 refers to the fourth Industrial Revolution, the main objective of the project is the promotion of the computerization of traditional industries. After the mechanization of production processes in the 19 th century, the introduction of mass production and the start of the digital revolution in the 20 th century, the goal of the fourth Industrial Revolution is the realization of the Smart Factory characterized by high adaptability, resource efficiency and the integration of business processes. eoda Page 2
3 Figure 1: Four Phases of Predictive Maintenance In industrial production, unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to severe shortness of supplies which will eventually weaken the market position of the entire organization. In order to avoid this, organizations are increasingly focusing on the improvement, maintenance, repair and operations of their machinery. Types of Maintenance Strategies Generally, one can distinguish between three broad types of maintenance: Reactive or Breakdown Maintenance refers to a run it till it breaks viewpoint in which equipment is only repaired after it already failed. The approach to restore normal conditions after a problem was detected can be cost-effective unless a fatal production outrage occurs. eoda Page 3
4 Preventive or Periodic Maintenance. This type consists of regular inspections of the equipment and machinery with the objective to prevent sudden failures and problems. Through regular maintenance cycles the risk of total failure is reduced substantially compared to breakdown maintenance. Condition-based Maintenance is based on the monitoring of the machinery and the performance. The monitoring is conducted by continuous assessment of device and performance parameters and a comparison thereof with predetermined values. Maintenance is only carried out after certain indicator show an increase in failure probability. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance. In the category of the future of maintenance developments, Predictive Maintenance as an extension of condition-based maintenance represents the informatization of production processes. With intelligent IT-based production systems Predictive Maintenance represents one important step on the path towards the development of a Smart Factory in industrial production. This method employs inspections by measuring and analyzing data about deterioration of the machinery and its performance, and relies on a surveillance system in order to monitor conditions and to manage trend values. In the context of analyzing data, the implementation of statistical methods respectively Predictive Analytics and Data Mining are important tools. Predictive Analytics help organizations to anticipate changes. By analyzing existing patterns and past events, future events can be predicted and the planning and execution of maintenance strategies can be adapted accordingly. Advantages of Predictive Maintenance When utilized correctly, predictive maintenance holds a lot of promise and provides numerous advantages. Through the generation and analysis of different machine data, the predictive power of the state of industrial plants is not only enhanced, but also provides the basis for an improved planning certainty as well as the efficient planning of repair and maintenance work. Predictive Maintenance not only allows for preemptive corrective actions, but also increases the operational eoda Page 4
5 life of the machinery or individual components; decreases equipment downtime; decreases costs and leads to better product quality. Open Source R In order to successfully conduct Predictive Maintenance procedures, one needs a sound basis in the form of a compelling software solution that can be tailored to the specific requirements and tasks at hand. A powerful tool is the programming language R, which is one of the best alternatives for the analysis and visualization of data that provides many advantages for Data Mining and Predictive Analytics. Consequently statistical methods such as clustering, classification, regression analysis or event history analysis lay the foundation to successfully apply Predictive Maintenance strategies in industrial production. Figure 2: Possible Application of R for Predictive Maintenance eoda Page 5
6 Advantages of R Originally developed in 1993, R has since then benefited from its Open Source character which supported the development of a programming language for statistical data analysis to a crossplatform operating lingua franca for data analysts. For Predictive Maintenance, R provides numerous advantages for a flexible and efficient application. Worth mentioning here are especially: Features: The features that R offers (without additional investment) are incomparable. Norman Nie, one of the founders of SPSS says: "R is the most powerful and flexible statistical programming language in the world" R in the analytic stack: R can be integrated with all the layers of an analysis or reporting architecture like data management, data analysis, or the presentation layer. Almost all software vendors offer interfaces possibilities to integrate R. Investment protection: The involvement of the scientific community and large companies support the development and acceptance of R. The R community grows steadily. Quality: The basic development of R takes place in the field of science. Two-thirds of the core developers are professors, engaged in the data analysis at universities or companies. R offers high reliability and uses the latest statistical methods. Data Visualization: R is one of the most powerful alternatives for creating high quality charts. From data processing to analyze and visualization - R implements the entire workflow. In addition, R is open source and there are no license costs and it is platform independent and can be integrated into the existing software architecture. Way of use In order to successfully operate and thereby contribute to the competiveness of an organization Predictive Analytics requires sound monitoring and diagnostic technologies. In industrial production Predictive Analytics are used to analyze data from for instance ultrasonic detection, thermography, vibration analysis, oil analysis and others. eoda Page 6
7 With the programming language R the entire Predictive Maintenance process can be managed successfully: starting with the process of data collection, the analysis of data to the preparation of a maintenance prognosis through to a clear visualization of the results. The prediction of machinery failures in the semiconductor industry is one specific example of how the powerful analysis software R uses regression trees and the random forest method to put the innovative concept of Predictive Maintenance into practice in order to significantly improve the process of machine maintenance. Figure 3: Regression Tree Depicting the Different Weighting of the Variables However, this is only one field of application, the combination of R and Predictive Analytics provides a wide range of applications. Additional examples of application can be found in the Whitepaper Predictive Maintenance (with R) Potential and Possibilities of the Free Statistics Language R for New Business Models in the Era of Industry 4.0 For an organization, the power to be able to identify and predict when production machinery, equipment, and assets are likely to fail or need service is an invaluable advantage, and in the future likely to become one of the key competitive advantages. The implementation of Predictive Maintenance procedures in the existing production structures provides the company with the possibilities to ensure a continuous production process, and to rectify plant damages and equipment wear at the point with the greatest positive impact regarding time and cost aspects. eoda Page 7
8 Thereby, an organization cannot only reduce repair and downtime costs, but also substantially improve the quality of its products which will have a positive impact on the overall market position of the company. Predictive Maintenance is the maintenance strategy of the future, and the programming language R with its endless possibilities is a key tool for its successful realization in the times of smart factories. About eoda We at eoda have a passion for data and analysis. We are data scientists, software developers, management consultants and personal trainers all combined in one. We generate strategic advantages from your data on the basis of extensive experience in Data Mining and Predictive Analytics. Our team will derive acting recommendations and solutions that will help you to adjust to upcoming trends or future market changes. We do not shrink away from challenges and individual requests. We are always ready for new tasks that we will manage with our hands-on-mentality, proven methods and technologies feel free to contact us! Ludwig-Erhard-Str Kassel Tel. +49(0) eoda Page 8
9 Table of Figures: Figure 1: Four Phases of Predictive Maintenance 3 Figure 2: Possible Application of R for Predictive Maintenance 5 Figure 3: Regression Tree Depicting the Different Weighting of the Variables 7 Picture Credits: Worker and production manager with Clipboard Kzenon / fotolia.com Industriemechaniker Ehrenberg-bilder / fotolia.com Portrait of young smiling female engineer checking wind turbines on site xixinxing /fotolia.com Daumen hoch zum Biogas Jürgen Fälchle / fotolia.com eoda Page 9
Autonomous Maintenance
Autonomous Maintenance TPM & Autonomous Maintenance I run it, you fix it! I fix it, you run it! What is Maintenance? Why is Possible Utilization Rate Necessary? One way to look at Lean (JIT) production
More informationR-Academy I Knowledge, that matters
I Knowledge, that matters About the R-Academy The R Academy of eoda is a modular course program for the R statistical language with regular events and training sessions. Our course instructors have been
More informationBetter-performing Assets Make Companies
Better-performing Assets Make Better-performing Companies Skillful asset management can improve EBITDA as much as 15-25% A sset performance management encompasses all maintenance activities that extend
More informationSWITCHING STRATEGIES: MOVING TO CONDITION- BASED MAINTENANCE. By David Stevens, Technical Manager & Trainer, AVT Reliability
SWITCHING STRATEGIES: MOVING TO CONDITION- BASED MAINTENANCE By David Stevens, Technical Manager & Trainer, AVT Reliability Balancing cost reduction and efficiency improvement targets is a common source
More informationIndustrial Roadmap for Connected Machines. Sal Spada Research Director ARC Advisory Group sspada@arcweb.com
Industrial Roadmap for Connected Machines Sal Spada Research Director ARC Advisory Group sspada@arcweb.com Industrial Internet of Things (IoT) Based upon enhanced connectivity of this stuff Connecting
More informationUniformance Asset Sentinel. Advanced Solutions. A real-time sentinel for continuous process performance monitoring and equipment health surveillance
Uniformance Asset Sentinel Advanced Solutions A real-time sentinel for continuous process performance monitoring and equipment health surveillance What is Uniformance Asset Sentinel? Honeywell s Uniformance
More informationEL Program: Smart Manufacturing Systems Design and Analysis
EL Program: Smart Manufacturing Systems Design and Analysis Program Manager: Dr. Sudarsan Rachuri Associate Program Manager: K C Morris Strategic Goal: Smart Manufacturing, Construction, and Cyber-Physical
More informationEmbracing the Future of the Industrial Internet: Prognostics and the Next Wave of Data Analytics Adrijan Ribaric, PhD
Embracing the Future of the Industrial Internet: Prognostics and the Next Wave of Data Analytics Adrijan Ribaric, PhD Science Table of Contents Prognostics and the Future of the Industrial Internet 03
More informationPredictive Analytics Tools and Techniques
Global Journal of Finance and Management. ISSN 0975-6477 Volume 6, Number 1 (2014), pp. 59-66 Research India Publications http://www.ripublication.com Predictive Analytics Tools and Techniques Mr. Chandrashekar
More informationEasily Identify Your Best Customers
IBM SPSS Statistics Easily Identify Your Best Customers Use IBM SPSS predictive analytics software to gain insight from your customer database Contents: 1 Introduction 2 Exploring customer data Where do
More informationSMART DIAGNOSTICS AFTER-SALES SERVICE TODAY
SMART DIAGNOSTICS AFTER-SALES SERVICE TODAY DIAGNOSTIC LIFECYCLE AFTER-SALES SERVICE TODAY Today s dynamic global markets have become increasingly complex. Companies must deal with major challenges in
More informationFOR IMMEDIATE RELEASE
FOR IMMEDIATE RELEASE Introducing "Operational Management Innovation Service", a Service that Improves the Utilization Rate of Factories, Plants, and Public Infrastructure Facilities, while also Achieving
More informationIndustrial Internet & Advanced Manufacturing
Industrial Internet & Advanced Manufacturing Marco Annunziata, Chief Economist April 08, 2014 Imagination at work. The Future of Work Advanced Manufacturing + The Industrial Internet + The Global Brain
More informationin-service inspections www.sgs.com
in-service inspections www.sgs.com Minimising down -time for wind turbines One of the major concerns in investing in wind farm projects is related to turbine availability, which represents the risk of
More informationPredictive Maintenance for Government
Predictive Maintenance for How to prevent asset failure, control maintenance costs and anticipate budget needs Highlights Predictive maintenance helps government agencies automatically detect equipment
More informationPredictive Maintenance in a Mission Critical Environment
March 2009 Predictive Maintenance in a Mission Critical Environment This paper discusses the need to proactively protect mechanical and electrical support systems in data processing centers and data storage
More informationBig Data Analytics and Decision Analysis for Manufacturing Intelligence to Empower Industry 3.5
ISMI2015, Oct. 16-18, 2015 KAIST, Daejeon, South Korea Big Data Analytics and Decision Analysis for Manufacturing Intelligence to Empower Industry 3.5 Tsinghua Chair Professor Chen-Fu Chien, Ph.D. Department
More informationHow to Optimize Your Data Mining Environment
WHITEPAPER How to Optimize Your Data Mining Environment For Better Business Intelligence Data mining is the process of applying business intelligence software tools to business data in order to create
More informationBig Data 101: Harvest Real Value & Avoid Hollow Hype
Big Data 101: Harvest Real Value & Avoid Hollow Hype 2 Executive Summary Odds are you are hearing the growing hype around the potential for big data to revolutionize our ability to assimilate and act on
More informationProficy Monitoring & Analysis. Software to harness the industrial internet
Proficy Monitoring & Analysis Suite Software to harness the industrial internet Prepare for the Industrial Internet Massive amounts of equipment and process GE, as one of the largest and most successful
More informationNagarjuna College Of
Nagarjuna College Of Information Technology (Bachelor in Information Management) TRIBHUVAN UNIVERSITY Project Report on World s successful data mining and data warehousing projects Submitted By: Submitted
More informationASSET MANAGEMENT SOLUTIONS AND PLANT RELIABILITY
ASSET MANAGEMENT SOLUTIONS AND PLANT RELIABILITY Israel E. Alguindigue, Ph. D Fisher-Rosemount 12001 Technology Drive Eden Prairie, MN 55344 USA lsrael.alguindigue@frco.com Branko Pecar, Ph. D PiCom Ltd
More informationUSERS CONFERENCE 2016. Copyright 2016 OSIsoft, LLC
USERS CONFERENCE 2016 Copyright 2016 OSIsoft, LLC How the Industrial Internet of Things is Changing Operations Presented by Peter Reynolds PReynolds@arcweb.com 1.506.343.4683 www.industrial-iot.com @PeterDReynolds
More informationSAS JOINT DATA MINING CERTIFICATION AT BRYANT UNIVERSITY
SAS JOINT DATA MINING CERTIFICATION AT BRYANT UNIVERSITY Billie Anderson Bryant University, 1150 Douglas Pike, Smithfield, RI 02917 Phone: (401) 232-6089, e-mail: banderson@bryant.edu Phyllis Schumacher
More informationData Isn't Everything
June 17, 2015 Innovate Forward Data Isn't Everything The Challenges of Big Data, Advanced Analytics, and Advance Computation Devices for Transportation Agencies. Using Data to Support Mission, Administration,
More informationProactive Asset Management with IIoT and Analytics
Proactive Asset Management with IIoT and Analytics by Ralph Rio in Industrial Internet of Things, Analytics & Big Data Summary The Industrial Internet of Things (IIoT) with advanced analytics, offers new
More informationPredictive Analytics. Going from reactive to proactive. Mats Stellwall - Nordic Predictive Analytics Enterprise Architect 2012-06-14
Mats Stellwall - Nordic Predictive Analytics Enterprise Architect 2012-06-14 Predictive Analytics Going from reactive to proactive 2011 IBM Corporation Nothing exists until it is measured Niels Bohr the
More informationThe Promise of Industrial Big Data
The Promise of Industrial Big Data Big Data Real Time Analytics Katherine Butler 1 st Annual Digital Economy Congress San Diego, CA Nov 14 th 15 th, 2013 Individual vs. Ecosystem What Happened When 1B
More informationKepware Whitepaper. Enabling Big Data Benefits in Upstream Systems. Steve Sponseller, Business Director, Oil & Gas. Introduction
Kepware Whitepaper Enabling Big Data Benefits in Upstream Systems Steve Sponseller, Business Director, Oil & Gas Introduction In the Oil & Gas Industry, shifting prices mean shifting priorities. With oil
More informationIntroduction. Background
Predictive Operational Analytics (POA): Customized Solutions for Improving Efficiency and Productivity for Manufacturers using a Predictive Analytics Approach Introduction Preserving assets and improving
More informationANALYTICS STRATEGY: creating a roadmap for success
ANALYTICS STRATEGY: creating a roadmap for success Companies in the capital and commodity markets are looking at analytics for opportunities to improve revenue and cost savings. Yet, many firms are struggling
More informationARC VIEW. Emerson Asset Optimization Business Breaks New Ground. Summary. A Business of Vital Strategic Importance.
ARC VIEW JANUARY 22, 2009 Emerson Asset Optimization Business Breaks New Ground By Larry O Brien Summary Emerson continues to put significant emphasis on its Asset Optimization business, a strategic element
More informationwww.eaton.eu/aftersales The Best For Everyone: After Sales Service
www.eaton.eu/aftersales The Best For Everyone: After Sales Service As Close as You Want It Whatever your requirements, we will provide you with excellent service. AFTER SALES SERVICE Service specialists
More informationInteractive Computer Based Courses
These SKF Self-Learning Tools (SLT) are a onestop interactive solution for students at various levels including the students of mechanical and other engineering streams. They eliminate the need to take
More informationHIGH PERFORMANCE ANALYTICS FOR TERADATA
F HIGH PERFORMANCE ANALYTICS FOR TERADATA F F BORN AND BRED IN FINANCIAL SERVICES AND HEALTHCARE. DECADES OF EXPERIENCE IN PARALLEL PROGRAMMING AND ANALYTICS. FOCUSED ON MAKING DATA SCIENCE HIGHLY PERFORMING
More informationCleaned Data. Recommendations
Call Center Data Analysis Megaputer Case Study in Text Mining Merete Hvalshagen www.megaputer.com Megaputer Intelligence, Inc. 120 West Seventh Street, Suite 10 Bloomington, IN 47404, USA +1 812-0-0110
More information6 Ways to Maximize Your Oil Analysis Software Value
Oil AnalYSis 6 Ways to Maximize Your Oil Analysis Software Value O rganizations have used oil analysis for decades to identify lubrication problems that could require equipment repair or even shut dow
More informationData Analysis Bootcamp - What To Expect. Damian Herrick Founder, Principal Consultant Lake Hill Analytics, LLC
Data Analysis Bootcamp - What To Expect Damian Herrick Founder, Principal Consultant Lake Hill Analytics, LLC Why Are Companies Using Data and Analytics Today? Data + Predictive Ability + Optimization
More informationIncrease Equipment Uptime Through Robust Enterprise Asset Management. For the Upstream, Midstream & Downstream Sectors of the Oil & Gas Industry
Increase Equipment Uptime Through Robust Enterprise Asset Management For the Upstream, Midstream & Downstream Sectors of the Oil & Gas Industry The Oil & Gas industry is challenged with effectively maximizing
More informationAdvanced analytics at your hands
2.3 Advanced analytics at your hands Neural Designer is the most powerful predictive analytics software. It uses innovative neural networks techniques to provide data scientists with results in a way previously
More informationManufacturing intelligence
Manufacturing intelligence Martin Helgoson, Senior project leader Intelligent Machining Vahid Kalhori, Manager Intelligent Machining Jan Edvardsson, Market Analyst Product Management WHITE PAPER We re
More informationPOWER TRAINING TECHNICIANS FOR WIND TURBINES INSPECTION, REPAIR AND MAINTENANCE
TO THE WIND POWER INDUSTRY The training is organized in one of the most modern training centers Only modern and innovative materials, tools and equipment are being used. All training classes and laboratories
More informationPreventative Maintenance For Fire Systems
Preventative Maintenance For Fire Systems Chubb Edwards systems are designed and installed to meet exacting standards, using materials of the highest quality. Still, all equipment is subject to regular
More informationFluency With Information Technology CSE100/IMT100
Fluency With Information Technology CSE100/IMT100 ),7 Larry Snyder & Mel Oyler, Instructors Ariel Kemp, Isaac Kunen, Gerome Miklau & Sean Squires, Teaching Assistants University of Washington, Autumn 1999
More informationPRODUCT INFORMATION. SICK LifeTime Services. LifeTime Services for Machines and Systems
PRODUCT INFORMATION SICK LifeTime Services LifeTime Services for Machines and Systems Ordering Information Place your trust in us... SICK LifeTime Services Place your trust in us... SICK LifeTime Services
More informationRequirements When Considering a Next- Generation Firewall
White Paper Requirements When Considering a Next- Generation Firewall What You Will Learn The checklist provided in this document details six must-have capabilities to look for when evaluating a nextgeneration
More informationAdvanced Distribution Grid Management for Smart Cities
Smart Grid Solutions Advanced Distribution Grid Management for Smart Cities Kevin Corcoran, Director Product Line Management IEEE SmartGridComm 2015 Miami, FL Bridging Smart Cities & Smart Grids Common
More informationDebugging the Hype about Big Data and Business Service Metrics
Once you have defined Business Services, successful cost and performance management hinges on tracking the right metrics. While simple unit metrics are a start, the most effective way to gain insights
More informationHow to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning
How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume
More informationAnomaly Detection in Predictive Maintenance
Anomaly Detection in Predictive Maintenance Anomaly Detection with Time Series Analysis Phil Winters Iris Adae Rosaria Silipo Phil.Winters@knime.com Iris.Adae@uni-konstanz.de Rosaria.Silipo@knime.com Copyright
More informationStatistics for BIG data
Statistics for BIG data Statistics for Big Data: Are Statisticians Ready? Dennis Lin Department of Statistics The Pennsylvania State University John Jordan and Dennis K.J. Lin (ICSA-Bulletine 2014) Before
More information2015 Workshops for Professors
SAS Education Grow with us Offered by the SAS Global Academic Program Supporting teaching, learning and research in higher education 2015 Workshops for Professors 1 Workshops for Professors As the market
More informationBuilding Smarter Manufacturing With The Internet of Things (IoT)
Building Smarter Manufacturing With The Internet of Things (IoT) Part 2. of The IoT Series January 2014 Lopez Research LLC 2269 Chestnut Street #202 San Francisco, CA 94123 T (866) 849-5750 W www.lopezresearch.com
More informationImproving proposal evaluation process with the help of vendor performance feedback and stochastic optimal control
Improving proposal evaluation process with the help of vendor performance feedback and stochastic optimal control Sam Adhikari ABSTRACT Proposal evaluation process involves determining the best value in
More informationIndustrial Automation. A Manufacturing Revolution in Automotive and Industrial Equipment
Industrial Automation A Manufacturing Revolution in Automotive and Industrial Equipment 1 Automated production, integrated end-to-end: transparent, reliable, predictable and efficient. That s the promise
More informationWincere Consulting mobile
EDGE Wincere Consulting mobile New age mobile computing is changing the rules of the game it is forcing companies to rethink their business models, reinvent their organization and rewire operations in
More informationTop 3 Ways to Use Data Science
Top 3 Ways to Use Data Science THE DATA SCIENCE DIVIDE Ask the average business user what they know about Business Intelligence (BI) and data analytics, and most will claim to understand the concepts.
More informationAcademic Journal of Research in Economics & Management. www.newscienceseries.com. Vol. 1, No. 3, October 2013, 37-41 ISSN: 2311-3278
Academic Journal of Research in Economics & Management www.newscienceseries.com Vol. 1, No. 3, October 2013, 37-41 ISSN: 2311-3278 Investigating the effect of information technology on the production and
More informationThe Basics of Predictive / Preventive Maintenance
The Basics of Predictive / Preventive Maintenance Maintenance costs, as defined by normal plant accounting procedures, are normally a major portion of the total operating costs in most plants. Traditional
More informationSmarter Energy: optimizing and integrating renewable energy resources
IBM Sales and Distribution Energy & Utilities Thought Leadership White Paper Smarter Energy: optimizing and integrating renewable energy resources Enabling industrial-scale renewable energy generation
More informationRail System and Turnout Services
Rail System and Turnout Services Inspection and testing Diagnostics Maintenance Asset management Asset management Rails and turnouts in the best possible condition we care for rails Rails and turnouts
More informationWhite. Paper. Big Data Advisory Service. September, 2011
White Paper Big Data Advisory Service By Julie Lockner& Tom Kornegay September, 2011 This ESG White Paper was commissioned by EMC Corporation and is distributed under license from ESG. 2011, Enterprise
More informationNon-Stop Manufacturing Excellence. Automotive. Answers for industry.
Non-Stop Manufacturing Excellence. Automotive Answers for industry. Answers to your challenges How can the potential of emerging markets be best economically tapped? What possibilities are there of reducing
More informationwww.pwc.com Balancing Uptime and Working Capital: Maintenance and Inventory Strategies in Mining
www.pwc.com Balancing Uptime and Working Capital: Maintenance and nventory Strategies in Mining Session Agenda ntroduction Overview of Maintenance Strategies in Mining Overview nventory Management Strategies
More informationAsset Management Best Practices
Asset Management Best Practices Summary of a Five-Part Series on Maintenance Best Practices A series of white papers dedicated to Asset Management Best Practices. Maximize Asset Performance. Improve Operating
More informationBig Data Analytics for SCADA
ENERGY Big Data Analytics for SCADA Machine Learning Models for Fault Detection and Turbine Performance Elizabeth Traiger, Ph.D., M.Sc. 14 April 2016 1 SAFER, SMARTER, GREENER Points to Convey Big Data
More informationThe 4 Pillars of Technosoft s Big Data Practice
beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed
More informationA Cloud Based Solution with IT Convergence for Eliminating Manufacturing Wastes
A Cloud Based Solution with IT Convergence for Eliminating Manufacturing Wastes Ravi Anand', Subramaniam Ganesan', and Vijayan Sugumaran 2 ' 3 1 Department of Electrical and Computer Engineering, Oakland
More informationGlobal Condition Monitoring Services Market
Global Condition Monitoring Services Market Market to Continue Expanding Despite Competitive Pressures 9840-30 February 2012 Contents Section Slide Numbers Market Overview 3 Market Definitions 4 Market
More informationUtilizing Real-Time Information in Enterprise Asset Management Systems
Utilizing Real-Time Information in Enterprise Asset Management Systems Jason Barath Matrikon Inc. December 2006 Utilizing Real-Time Information in Enterprise Asset Management Systems Today, industries
More informationUsing Predictive Maintenance to Approach Zero Downtime
SAP Thought Leadership Paper Predictive Maintenance Using Predictive Maintenance to Approach Zero Downtime How Predictive Analytics Makes This Possible Table of Contents 4 Optimizing Machine Maintenance
More informationProduct recommendations and promotions (couponing and discounts) Cross-sell and Upsell strategies
WHITEPAPER Today, leading companies are looking to improve business performance via faster, better decision making by applying advanced predictive modeling to their vast and growing volumes of data. Business
More informationInnovation: More than Research and Development
Bulletins of the Number Manufacturing Performance Survey June 2005 33 Innovation: More than Research and Development Growth opportunities on different innovation paths Steffen Kinkel, Gunter Lay and Jürgen
More informationAsset management systems increase reliability and efficiency
A PublicAtion of the international Society of AutomAtion Asset management systems increase reliability and efficiency Make use of technology to overcome barriers to better maintenance practices By Augie
More informationAdapting to Change in the 4th Industrial Revolution. Graham Conlon Global Vice President, Extended Supply Chain, SAP
Adapting to Change in the 4th Industrial Revolution Graham Conlon Global Vice President, Extended Supply Chain, SAP Business Strategies Translating Business Realities to Business Strategies Personalized
More informationMaximierung des Geschäftserfolgs durch SAP Predictive Analytics. Andreas Forster, May 2014
Maximierung des Geschäftserfolgs durch SAP Predictive Analytics Andreas Forster, May 2014 Legal Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed
More informationCombining the Virtual and Physical Worlds
Combining the Virtual and Physical Worlds Innovation at Siemens Press and analyst event,, Corporate Technology siemens.com/innovation Siemens solutions combine Digitalization with Automation and Electrification
More informationSmarter Infrastructure Instrumented, Interconnected, Intelligent... Patterns of Innovation
Mohammad Albataineh Smarter Infrastructure Brand Leader IBM Software, Middle East and Africa Smarter Infrastructure Instrumented, Interconnected, Intelligent... Patterns of Innovation Technology has never
More informationO&M Cloud Service for Expediting Business Innovation
24 Hitachi Review Vol. 64 (2015), No. 1 Featured Articles O&M Cloud Service for Expediting Business Innovation Junichi Sato Takeo Shirai Hideyuki Sakai Takao Baba OVERVIEW: There is growing demand from
More informationBosch Rexroth. The Drive & Control Company
osch Rexroth. The Drive & Control Company Optimized Uptime and proactive Maintenance provided by osch Rexroth Stefan Saul Director Product Management Global Services, osch Rexroth 1 Agenda A C Life Cycle
More informationOperations & Maintenance 201 Using online monitoring and predictive diagnostics to reduce maintenance costs
2003 Emerson Process Management. All rights reserved. View this and other courses online at www.plantwebuniversity.com. Operations & Maintenance 201 Using online monitoring and predictive diagnostics to
More informationScheduled Maintenance
Scheduled Maintenance Scheduled Maintenance Scheduled maintenance is planned component repair or replacement, often triggered by preventive maintenance inspections, pre- trip and post- trip inspections,
More informationLeverage the Internet of Things to Transform Maintenance and Service Operations
SAP Brief SAP s for the Internet of Things SAP Predictive Maintenance and Service SAP Enterprise Asset Management Objectives Leverage the Internet of Things to Transform Maintenance and Service Operations
More informationWorking with telecommunications
Working with telecommunications Minimizing churn in the telecommunications industry Contents: 1 Churn analysis using data mining 2 Customer churn analysis with IBM SPSS Modeler 3 Types of analysis 3 Feature
More informationBig Data. Fast Forward. Putting data to productive use
Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realize
More informationEquipment Performance Monitoring
Equipment Performance Monitoring Web-based equipment monitoring cuts costs and increases equipment uptime This document explains the process of how AMS Performance Monitor operates to enable organizations
More informationA Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data
White Paper A Visualization is Worth a Thousand Tables: How IBM Business Analytics Lets Users See Big Data Contents Executive Summary....2 Introduction....3 Too much data, not enough information....3 Only
More informationData Mining Applications in Higher Education
Executive report Data Mining Applications in Higher Education Jing Luan, PhD Chief Planning and Research Officer, Cabrillo College Founder, Knowledge Discovery Laboratories Table of contents Introduction..............................................................2
More informationAdvanced Big Data Analytics with R and Hadoop
REVOLUTION ANALYTICS WHITE PAPER Advanced Big Data Analytics with R and Hadoop 'Big Data' Analytics as a Competitive Advantage Big Analytics delivers competitive advantage in two ways compared to the traditional
More informationData Mining + Business Intelligence. Integration, Design and Implementation
Data Mining + Business Intelligence Integration, Design and Implementation ABOUT ME Vijay Kotu Data, Business, Technology, Statistics BUSINESS INTELLIGENCE - Result Making data accessible Wider distribution
More informationGEO-VISUALIZATION SUPPORT FOR MULTIDIMENSIONAL CLUSTERING
Geoinformatics 2004 Proc. 12th Int. Conf. on Geoinformatics Geospatial Information Research: Bridging the Pacific and Atlantic University of Gävle, Sweden, 7-9 June 2004 GEO-VISUALIZATION SUPPORT FOR MULTIDIMENSIONAL
More informationEnterprise Asset Performance Management
Application Solution Enterprise Asset Performance Management for Power Utilities Using the comprehensive Enterprise Asset Performance Management solution offered by Schneider Electric, power utilities
More informationDECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015
Unifying People, Process, Data & Things CASE STUDY DECISYON 360 ASSET OPTIMIZATION SOLUTION FOR U.S. ELECTRICAL ENERGY SUPPLIER MAY 2015 Decisyon, Inc. 2015 All Rights Reserved TABLE OF CONTENTS THE BOTTOM
More informationImproving Operational and Financial Results through Predictive Maintenance
Smarter Analytics Leadership Summit Big Data. Real Solutions. Big Results. Improving Operational and Financial Results through Predictive Maintenance 2013 IBM Corporation Introductions Jerry Kurtz Vice
More informationA Hurwitz white paper. Inventing the Future. Judith Hurwitz President and CEO. Sponsored by Hitachi
Judith Hurwitz President and CEO Sponsored by Hitachi Introduction Only a few years ago, the greatest concern for businesses was being able to link traditional IT with the requirements of business units.
More informationHMS Industrial Networks. Putting industrial applications on the cloud
HMS Industrial Networks Putting industrial applications on the cloud Whitepaper Best practices for managing and controlling industrial equipment remotely. HMS Industrial Networks Inc 35 E Wacker Drive,
More informationThe Westin Oaks Houston at the Galleria, 5011 Westheimer at Post Oak, Houston, TX
The Westin Oaks Houston at the Galleria, 5011 Westheimer at Post Oak, Houston, TX Day 1 Regional Seminar Presentation (9 AM 5 PM) Day 2 Training (9 AM 12:30 PM) 2015 OSIsoft Regional Seminar: The Westin
More informationM2M The Next Industrial Revolution & Energy Transition Driver. M2M+ Visions, April 30, 2015, Milano Edmund Hain, Managing Director, MarComSo
M2M The Next Industrial Revolution & Energy Transition Driver M2M+ Visions, April 30, 2015, Milano Edmund Hain, Managing Director, MarComSo MarComSo Short Profile Founded in 1997 Focus on M2M/IoT-, IT
More informationEmpowering the Masses with Analytics
Empowering the Masses with Analytics THE GAP FOR BUSINESS USERS For a discussion of bridging the gap from the perspective of a business user, read Three Ways to Use Data Science. Ask the average business
More informationPREDICTIVE ANALYTICS FOR EVERYONE: EASY WAYS TO USE THE DATA YOU HAVE TO PREDICT WHAT CUSTOMERS WILL DO NEXT
PREDICTIVE ANALYTICS FOR EVERYONE: EASY WAYS TO USE THE DATA YOU HAVE TO PREDICT WHAT CUSTOMERS WILL DO NEXT The term Predictive Analytics sounds scientific and let s be honest a little scary. But as eventually
More information