Standards for virtual manufacturing and factory of the future position and s...Dr Nicolas Figay
Presentation at AFNET Standardisation Days 2017 (19-20/04/2017) with presentation and contextualization of "enterprise-control system integration" international standard (ISA 95 - IEC 62264) as one of the component of Industrie 4.0
DataEd Slides: Data Strategy Best PracticesDATAVERSITY
Your Data Strategy should be concise, actionable, and understandable by business and IT! Data is not just another resource. It is your most powerful, yet poorly managed and therefore underutilized organizational asset. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Overcoming lack of talent, barriers in organizational thinking, and seven specific data sins are organizational prerequisites to be satisfied before (a measurable) nine out of 10 organizations can achieve the three primary goals of an organizational Data Strategy, which are to:
- Improve the way your people use data
- Improve the way your people use data to achieve your organizational strategy
- Improve your organization’s data
In this manner, your organizational Data Strategy can be used to best focus your data assets in precise support of your organization's strategic objectives. Once past the prerequisites, organizations must develop a disciplined, repeatable means of improving the data literacy, standards, and supply as business objectives in specific areas that become the foci of subsequent Data Governance efforts. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are covered, including:
- A cohesive argument for why Data Strategy is necessary for effective Data Governance
- An overview of prerequisites for effective Data Strategy, as well as common pitfalls that can detract from its implementation, such as the “Seven Deadly Data Sins”
- A repeatable process for identifying and removing data constraints, and the importance of balancing business operation and innovation while doing so
Texas Instruments’ LMG5200 GaN Power Stage - 2018 teardown reverse costing re...system_plus
The first 80V half-bridge GaN power stage from TI, with innovative packaging.
More information on that report at http://www.systemplus.fr/reverse-costing-reports/texas-instruments-lmg5200-gan-power-stage/
ISA-95 is a set of standards for integrating enterprise and control systems to allow them to communicate and exchange data seamlessly. It defines a framework and common terminology for discussing manufacturing operations. However, ISA-95 was developed before modern technologies like IoT, cloud computing, and AI. As a result, the traditional ISA-95 model may not be sufficient to address the challenges of modern networks, which have new requirements for flexibility, scalability, and real-time data processing. New standards are needed to ensure the safe integration of enterprise and control systems in an era with more complex, dynamic IoT systems.
Metrics-Based Process Mapping: An Excel-Based SolutionTKMG, Inc.
To subscribe: http://www.ksmartin.com/subscribe
To purchase the book: http://bit.ly/MBPMbk
This is the Excel tool Mike Osterling & I developed to provide the means for electronically archiving & distributing manually prepared metrics-based process maps.
The Summary Metrics sheet auto-calculates projected improvement based on current state findings and future state design.
Tradeshift, Hackett Group & sharedserviceslink - P2P WebinarTradeshift
This document provides an agenda and context for a presentation on best practices and metrics for next generation purchase-to-pay (P2P). The presentation will feature speakers from Tradeshift and The Hackett Group and discuss introducing e-invoicing, improving P2P processes, and key performance indicators. The agenda includes introducing the organizations, defining top P2P performance, reviewing enabling capabilities like technology and strategic sourcing, and answering audience questions.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
1. The document discusses the importance of interdisciplinary interface engineering for electrical projects and describes various types of interfaces and deliverables that must be coordinated between electrical and other disciplines like process, piping, civil, and instrumentation.
2. It provides examples of typical electrical deliverables that interface with other groups and deliverables received from other groups including plans, diagrams, schedules, specifications and calculations.
3. Maintaining proper documentation through methods like document control indexes, distribution matrices, notes of meetings and memos is important to facilitate interface engineering and coordination between groups.
Standards for virtual manufacturing and factory of the future position and s...Dr Nicolas Figay
Presentation at AFNET Standardisation Days 2017 (19-20/04/2017) with presentation and contextualization of "enterprise-control system integration" international standard (ISA 95 - IEC 62264) as one of the component of Industrie 4.0
DataEd Slides: Data Strategy Best PracticesDATAVERSITY
Your Data Strategy should be concise, actionable, and understandable by business and IT! Data is not just another resource. It is your most powerful, yet poorly managed and therefore underutilized organizational asset. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Overcoming lack of talent, barriers in organizational thinking, and seven specific data sins are organizational prerequisites to be satisfied before (a measurable) nine out of 10 organizations can achieve the three primary goals of an organizational Data Strategy, which are to:
- Improve the way your people use data
- Improve the way your people use data to achieve your organizational strategy
- Improve your organization’s data
In this manner, your organizational Data Strategy can be used to best focus your data assets in precise support of your organization's strategic objectives. Once past the prerequisites, organizations must develop a disciplined, repeatable means of improving the data literacy, standards, and supply as business objectives in specific areas that become the foci of subsequent Data Governance efforts. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are covered, including:
- A cohesive argument for why Data Strategy is necessary for effective Data Governance
- An overview of prerequisites for effective Data Strategy, as well as common pitfalls that can detract from its implementation, such as the “Seven Deadly Data Sins”
- A repeatable process for identifying and removing data constraints, and the importance of balancing business operation and innovation while doing so
Texas Instruments’ LMG5200 GaN Power Stage - 2018 teardown reverse costing re...system_plus
The first 80V half-bridge GaN power stage from TI, with innovative packaging.
More information on that report at http://www.systemplus.fr/reverse-costing-reports/texas-instruments-lmg5200-gan-power-stage/
ISA-95 is a set of standards for integrating enterprise and control systems to allow them to communicate and exchange data seamlessly. It defines a framework and common terminology for discussing manufacturing operations. However, ISA-95 was developed before modern technologies like IoT, cloud computing, and AI. As a result, the traditional ISA-95 model may not be sufficient to address the challenges of modern networks, which have new requirements for flexibility, scalability, and real-time data processing. New standards are needed to ensure the safe integration of enterprise and control systems in an era with more complex, dynamic IoT systems.
Metrics-Based Process Mapping: An Excel-Based SolutionTKMG, Inc.
To subscribe: http://www.ksmartin.com/subscribe
To purchase the book: http://bit.ly/MBPMbk
This is the Excel tool Mike Osterling & I developed to provide the means for electronically archiving & distributing manually prepared metrics-based process maps.
The Summary Metrics sheet auto-calculates projected improvement based on current state findings and future state design.
Tradeshift, Hackett Group & sharedserviceslink - P2P WebinarTradeshift
This document provides an agenda and context for a presentation on best practices and metrics for next generation purchase-to-pay (P2P). The presentation will feature speakers from Tradeshift and The Hackett Group and discuss introducing e-invoicing, improving P2P processes, and key performance indicators. The agenda includes introducing the organizations, defining top P2P performance, reviewing enabling capabilities like technology and strategic sourcing, and answering audience questions.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
1. The document discusses the importance of interdisciplinary interface engineering for electrical projects and describes various types of interfaces and deliverables that must be coordinated between electrical and other disciplines like process, piping, civil, and instrumentation.
2. It provides examples of typical electrical deliverables that interface with other groups and deliverables received from other groups including plans, diagrams, schedules, specifications and calculations.
3. Maintaining proper documentation through methods like document control indexes, distribution matrices, notes of meetings and memos is important to facilitate interface engineering and coordination between groups.
Business Value Through Reference and Master Data StrategiesDATAVERSITY
Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions — the master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach, typically involving Data Governance and Data Quality activities.
Learning Objectives:
• Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBoK)
• Understand why these are an important component of your Data Architecture
• Gain awareness of reference and MDM frameworks and building blocks
• Know what MDM guiding principles consist of and best practices
• Know how to utilize reference and MDM in support of business strategy
Gas Liquid Engineering - Presentation BrazilSistema FIEB
Apresentação de Peter Griffin, da Gas Liquid Engineering, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
Beyond CIO - Will there still be Architecture Management in 2025LeanIX GmbH
Ralf Schneider from Detecon explored the future of the CIO at EA Connect Days 2018 in Bonn. CIOs have to manage two main challenges: Cost/efficiency vs innovation/agility. His hypothesis is that operational IT skills will be increasingly less important while the skills to orchestrate the eco system.
Dr. Orhan Degermenci is a lead pipeline engineer with over 25 years of experience in design, engineering, construction, operation and maintenance of pipeline systems. He has worked on numerous projects in the United Arab Emirates and Turkey, specializing in feasibility studies, conceptual design, front-end engineering design, detailed engineering design, and project management. Dr. Degermenci holds a PhD in Petroleum Engineering from Germany and is fluent in English, German and Turkish.
This document provides an overview of big data analytics, strategies, and the WSO2 big data platform. It discusses how the amount of data in the world is growing exponentially due to factors like increased data collection and the internet of things. It then summarizes the WSO2 big data platform for collecting, processing, analyzing and visualizing large datasets. Key components include the complex event processor for query processing and the business activity monitor for dashboards. The document concludes by outlining new developments and features being worked on, such as distributed complex event processing and machine learning integration.
Lean Six sigma Black Belt Training Part 6Lean Insight
This document provides guidance on defining key elements of a Six Sigma project charter, including the business case, problem statement, goal statement, project scope and boundaries, communication plan, and team roles.
It emphasizes that the business case should explain why the project is important and its consequences. The problem statement should define the problem quantitatively and its target and impact. The goal statement should be specific, measurable, attainable, realistic and time-bound.
The project scope and boundaries define what can and cannot be influenced. The communication plan outlines who communicates what to whom and when. Key team roles include project manager, mentor, champion, sponsor and team members. The document provides examples of well-defined and poorly-defined
The document discusses how technology can support sustainability in Sales and Operations Planning (S&OP). It introduces an S&OP health check assessment and provides examples of how technology enables collaboration with trading partners, supports organizational structure in S&OP, and allows for modeling of physical flows. Technology is presented as a key enabler across the six dimensions of S&OP maturity by facilitating trading partner collaboration at scale, consolidating planning across organizations, and enabling complex demand-supply network modeling.
Aggreko is a world leader in providing temporary power and temperature control solutions on a rental basis. They have over 200 locations worldwide supporting customers in industries such as events, construction, mining, oil and gas, utilities, and others. Aggreko has a large fleet of generators and chillers that can be rapidly deployed to provide power or temperature control on a flexible short or long-term basis.
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
Roland Berger Future sectors and technologies - French positionEmmanuel Fages
In this document we share our view of which technologies will emerge in the coming years and the French competitive advantages and main players for each of them
The document provides a summary of experience and qualifications for Sairam Narayana Peddi including:
- Over 10 years experience in structural analysis and crash simulation of vehicles using LS-DYNA.
- Experience leading crash simulation projects for various automakers to meet safety regulations.
- Education includes a Master's from IIT Delhi and Bachelor's from Sri Krishnadevaraya University.
- Details are provided on several crash simulation projects conducted over the course of his career focusing on occupant safety, vehicle architecture development, and compatibility studies.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Six Sigma is a data-driven approach to process improvement that seeks to identify and eliminate defects or variations in processes to improve efficiency and quality. It is a methodology that focuses on understanding customer needs, measuring current performance, analyzing data to identify root causes of problems, improving processes, and controlling future performance to ensure sustained improvement.
The benefits of Six Sigma are far-reaching, impacting various industries including manufacturing, healthcare, finance, and service industries. By implementing Six Sigma, organizations can expect to see improvements in customer satisfaction, cost reduction, increased efficiency, and enhanced employee engagement.
This Six Sigma Improvement Process PPT presentation is tailored for senior executives, decision-makers, and key stakeholders who are assessing and planning to launch a Six Sigma program. It is also beneficial for management and staff seeking education on key concepts, principles, and the Six Sigma DMAIC approach to process improvement. Additionally, trainers and facilitators looking to enhance the learning experience with professionally developed training materials by certified Lean Six Sigma Black Belts will find this presentation valuable.
This presentation provides a comprehensive overview of the Six Sigma Improvement Process, offering insights and strategies for organizations to achieve excellence in their operations. Whether you are just beginning your Six Sigma journey or looking to enhance your existing program, this presentation is an essential resource for driving impactful and sustainable change within your organization.
LEARNING OBJECTIVES
1. Understand key Six Sigma concepts and principles for continuous improvement.
2. Apply Six Sigma tools and DMAIC methodology to solve business problems.
3. Identify key roles and responsibilities in Six Sigma projects and understand project selection and management for maximizing benefits.
4. Identify the critical success factors for successful Six Sigma implementation.
CONTENTS
1. Overview of Six Sigma
2. Key Concepts of Six Sigma
3. Critical to Quality (CTQ)
4. Six Sigma Methodologies
5. Six Sigma Toolkit
6. Organizing for Six Sigma
7. Project Selection and Management
8. Critical Success Factors
Using Syncade Workflow and AMS Device Manager for SIF Proof Testing on a Delt...Emerson Exchange
The document discusses how Syncade Workflow and AMS Device Manager can be used for SIS proof testing on a DeltaV SMART SIS system. It describes how SMART instruments and logic solvers enable automated testing and documentation to satisfy IEC 61511 standards. Syncade workflow guides technicians through tests, documents results electronically, and ensures tasks are done correctly. This facilitates faster commissioning and proof testing while reducing costs.
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
The presentation looks at the growing demand for data that many organizations are experiencing. Then it will look at the many data sources you can connect to using Ignition, including PLC data; databases; device data; and data from web services.
Here is a link to the webinar - https://inductiveautomation.com/resources/webinar/webinar-get-more-data-your-scada
ISA-95 is a standard for integrating business and manufacturing systems. It provides a framework for integration projects by separating business and manufacturing processes. The standard defines object models for resources, production schedules, capabilities and more. It aims to enable information sharing across different automation and IT systems to improve supply chain optimization and other business needs.
Changepond is an engineering services company that provides mechanical, electrical, and manufacturing engineering services. They focus on equipment manufacturing, automotive, oil and gas industries. Their services include conceptual design, 3D modeling, finite element analysis, rapid prototyping, and more. Changepond can help clients reduce costs through their hybrid onsite/offshore model and partnership approach. They aim to understand clients' businesses and engineering needs to identify how Changepond can add value through outsourced engineering services.
Sensors are electromechanical devices that use magnetic
field for sensing
Velocity sensors for antilock brakes and stability control
Position sensors for static seat location
Eddy current sensors for flaw detection
Discovering Lean at Hewlett Packard Laserjet DivisionIrina Dzhambazova
The Hewlett Packard LaserJet Development team used systems engineering tools to discover the laws of Lean and increase the productivity of developing embedded and server based software by hundreds of percent. Learn from the actual work done on LaserJet products these laws of Lean. Learn about the keys to using Kanban and other principles that give constant high productivity on any size of project.
The Digital Twin For Production OptimizationYokogawa1
Digitalization is fundamental to the development of Repsol’s strategy for the future. To meet emerging challenges, the business units have developed an ambitious program comprising multiple projects. Within Repsol’s Industrial Business, development of a refinery digital twin leads the digitalization program. The digital twin allows the business to maximize production while optimizing energy consumption. This session will explore the digital twin project objectives to improve the accuracy and scope of the Refinery LP model that the Programming and Planning departments use to make decisions regarding crude feedstock purchasing and refinery unit operations. It will also report on the context of the business goals achieved, the technology and architecture developed, and the connectivity deployed to communicate results. It will conclude with a description of how enhancements to existing technology work with new technologies to improve value.
Business Value Through Reference and Master Data StrategiesDATAVERSITY
Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions — the master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach, typically involving Data Governance and Data Quality activities.
Learning Objectives:
• Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBoK)
• Understand why these are an important component of your Data Architecture
• Gain awareness of reference and MDM frameworks and building blocks
• Know what MDM guiding principles consist of and best practices
• Know how to utilize reference and MDM in support of business strategy
Gas Liquid Engineering - Presentation BrazilSistema FIEB
Apresentação de Peter Griffin, da Gas Liquid Engineering, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
Beyond CIO - Will there still be Architecture Management in 2025LeanIX GmbH
Ralf Schneider from Detecon explored the future of the CIO at EA Connect Days 2018 in Bonn. CIOs have to manage two main challenges: Cost/efficiency vs innovation/agility. His hypothesis is that operational IT skills will be increasingly less important while the skills to orchestrate the eco system.
Dr. Orhan Degermenci is a lead pipeline engineer with over 25 years of experience in design, engineering, construction, operation and maintenance of pipeline systems. He has worked on numerous projects in the United Arab Emirates and Turkey, specializing in feasibility studies, conceptual design, front-end engineering design, detailed engineering design, and project management. Dr. Degermenci holds a PhD in Petroleum Engineering from Germany and is fluent in English, German and Turkish.
This document provides an overview of big data analytics, strategies, and the WSO2 big data platform. It discusses how the amount of data in the world is growing exponentially due to factors like increased data collection and the internet of things. It then summarizes the WSO2 big data platform for collecting, processing, analyzing and visualizing large datasets. Key components include the complex event processor for query processing and the business activity monitor for dashboards. The document concludes by outlining new developments and features being worked on, such as distributed complex event processing and machine learning integration.
Lean Six sigma Black Belt Training Part 6Lean Insight
This document provides guidance on defining key elements of a Six Sigma project charter, including the business case, problem statement, goal statement, project scope and boundaries, communication plan, and team roles.
It emphasizes that the business case should explain why the project is important and its consequences. The problem statement should define the problem quantitatively and its target and impact. The goal statement should be specific, measurable, attainable, realistic and time-bound.
The project scope and boundaries define what can and cannot be influenced. The communication plan outlines who communicates what to whom and when. Key team roles include project manager, mentor, champion, sponsor and team members. The document provides examples of well-defined and poorly-defined
The document discusses how technology can support sustainability in Sales and Operations Planning (S&OP). It introduces an S&OP health check assessment and provides examples of how technology enables collaboration with trading partners, supports organizational structure in S&OP, and allows for modeling of physical flows. Technology is presented as a key enabler across the six dimensions of S&OP maturity by facilitating trading partner collaboration at scale, consolidating planning across organizations, and enabling complex demand-supply network modeling.
Aggreko is a world leader in providing temporary power and temperature control solutions on a rental basis. They have over 200 locations worldwide supporting customers in industries such as events, construction, mining, oil and gas, utilities, and others. Aggreko has a large fleet of generators and chillers that can be rapidly deployed to provide power or temperature control on a flexible short or long-term basis.
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
Roland Berger Future sectors and technologies - French positionEmmanuel Fages
In this document we share our view of which technologies will emerge in the coming years and the French competitive advantages and main players for each of them
The document provides a summary of experience and qualifications for Sairam Narayana Peddi including:
- Over 10 years experience in structural analysis and crash simulation of vehicles using LS-DYNA.
- Experience leading crash simulation projects for various automakers to meet safety regulations.
- Education includes a Master's from IIT Delhi and Bachelor's from Sri Krishnadevaraya University.
- Details are provided on several crash simulation projects conducted over the course of his career focusing on occupant safety, vehicle architecture development, and compatibility studies.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Six Sigma is a data-driven approach to process improvement that seeks to identify and eliminate defects or variations in processes to improve efficiency and quality. It is a methodology that focuses on understanding customer needs, measuring current performance, analyzing data to identify root causes of problems, improving processes, and controlling future performance to ensure sustained improvement.
The benefits of Six Sigma are far-reaching, impacting various industries including manufacturing, healthcare, finance, and service industries. By implementing Six Sigma, organizations can expect to see improvements in customer satisfaction, cost reduction, increased efficiency, and enhanced employee engagement.
This Six Sigma Improvement Process PPT presentation is tailored for senior executives, decision-makers, and key stakeholders who are assessing and planning to launch a Six Sigma program. It is also beneficial for management and staff seeking education on key concepts, principles, and the Six Sigma DMAIC approach to process improvement. Additionally, trainers and facilitators looking to enhance the learning experience with professionally developed training materials by certified Lean Six Sigma Black Belts will find this presentation valuable.
This presentation provides a comprehensive overview of the Six Sigma Improvement Process, offering insights and strategies for organizations to achieve excellence in their operations. Whether you are just beginning your Six Sigma journey or looking to enhance your existing program, this presentation is an essential resource for driving impactful and sustainable change within your organization.
LEARNING OBJECTIVES
1. Understand key Six Sigma concepts and principles for continuous improvement.
2. Apply Six Sigma tools and DMAIC methodology to solve business problems.
3. Identify key roles and responsibilities in Six Sigma projects and understand project selection and management for maximizing benefits.
4. Identify the critical success factors for successful Six Sigma implementation.
CONTENTS
1. Overview of Six Sigma
2. Key Concepts of Six Sigma
3. Critical to Quality (CTQ)
4. Six Sigma Methodologies
5. Six Sigma Toolkit
6. Organizing for Six Sigma
7. Project Selection and Management
8. Critical Success Factors
Using Syncade Workflow and AMS Device Manager for SIF Proof Testing on a Delt...Emerson Exchange
The document discusses how Syncade Workflow and AMS Device Manager can be used for SIS proof testing on a DeltaV SMART SIS system. It describes how SMART instruments and logic solvers enable automated testing and documentation to satisfy IEC 61511 standards. Syncade workflow guides technicians through tests, documents results electronically, and ensures tasks are done correctly. This facilitates faster commissioning and proof testing while reducing costs.
This document discusses data governance and data architecture. It introduces data governance as the processes for managing data, including deciding data rights, making data decisions, and implementing those decisions. It describes how data architecture relates to data governance by providing patterns and structures for governing data. The document presents some common data architecture patterns, including a publish/subscribe pattern where a publisher pushes data to a hub and subscribers pull data from the hub. It also discusses how data architecture can support data governance goals through approaches like a subject area data model.
The presentation looks at the growing demand for data that many organizations are experiencing. Then it will look at the many data sources you can connect to using Ignition, including PLC data; databases; device data; and data from web services.
Here is a link to the webinar - https://inductiveautomation.com/resources/webinar/webinar-get-more-data-your-scada
ISA-95 is a standard for integrating business and manufacturing systems. It provides a framework for integration projects by separating business and manufacturing processes. The standard defines object models for resources, production schedules, capabilities and more. It aims to enable information sharing across different automation and IT systems to improve supply chain optimization and other business needs.
Changepond is an engineering services company that provides mechanical, electrical, and manufacturing engineering services. They focus on equipment manufacturing, automotive, oil and gas industries. Their services include conceptual design, 3D modeling, finite element analysis, rapid prototyping, and more. Changepond can help clients reduce costs through their hybrid onsite/offshore model and partnership approach. They aim to understand clients' businesses and engineering needs to identify how Changepond can add value through outsourced engineering services.
Sensors are electromechanical devices that use magnetic
field for sensing
Velocity sensors for antilock brakes and stability control
Position sensors for static seat location
Eddy current sensors for flaw detection
Discovering Lean at Hewlett Packard Laserjet DivisionIrina Dzhambazova
The Hewlett Packard LaserJet Development team used systems engineering tools to discover the laws of Lean and increase the productivity of developing embedded and server based software by hundreds of percent. Learn from the actual work done on LaserJet products these laws of Lean. Learn about the keys to using Kanban and other principles that give constant high productivity on any size of project.
The Digital Twin For Production OptimizationYokogawa1
Digitalization is fundamental to the development of Repsol’s strategy for the future. To meet emerging challenges, the business units have developed an ambitious program comprising multiple projects. Within Repsol’s Industrial Business, development of a refinery digital twin leads the digitalization program. The digital twin allows the business to maximize production while optimizing energy consumption. This session will explore the digital twin project objectives to improve the accuracy and scope of the Refinery LP model that the Programming and Planning departments use to make decisions regarding crude feedstock purchasing and refinery unit operations. It will also report on the context of the business goals achieved, the technology and architecture developed, and the connectivity deployed to communicate results. It will conclude with a description of how enhancements to existing technology work with new technologies to improve value.
This document provides a project report for an inventory system for Chocolates & Sweet Things. It includes a requirement specification, feasibility analysis, system overview, design specification, and reflection. The team analyzed the existing manual system and identified issues like slow checkout and redundant inventory tracking. The proposed automated inventory system would use barcodes and scanning to track inventory levels in real-time, generate reorder reports, and streamline the checkout process. It would reduce costs, errors, and labor hours over the current manual system. The project schedule outlined an 8 step, 14 week development process.
Case Study: Vivo Automated IT Capacity Management to Optimize Usage of its Cr...CA Technologies
Learn how Vivo used CA Capacity Management to monitor current capacity and assure the optimized usage of their critical infrastructure environments, enabling them to dispose of manual procedures and spreadsheets and achieve increased time to value and high speed.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
GE 이노베이션 포럼 2017 LIVE 발표자료 - 빌 루 GE 최고디지털책임자 겸 GE Digital 사장GE코리아
GE이노베이션 포럼 2017 LIVE 발표자료
빌 루 (Bill Ruh) : GE 최고디지털책임자 겸 GE Digital 사장
Becoming Digital Industrial
GE Innovation Forum 2017 Live
전 세계적으로 4차 산업혁명이라는 혁신의 물결이 거세게 확산되고 있는 가운데, 한국제조업의 위기감은 점점 높아지고 있습니다. 사물인터넷과 빅데이터, 인공지능(AI) 등 첨단 IT 기술 융합이 이뤄지면서 국내 제조업은 더욱 큰 변화의 시기를 지나고 있습니다. 이러한 변화 속에서 기업이 생존하기 위해 디지털 트랜스포메이션을 통한 한국제조업 생산성 혁신과 디지털 시대에 어울리는 강력한 조직문화 구축이 요구되고 있습니다.
실시간 스트리밍으로 진행되는 이번 GE 이노베이션포럼 라이브에서는 디지털 산업 시대를 선도하고 있는 GE 최고디지털책임자(CDO) 빌 루(Bill Ruh)와, 국내 산업 혁신 전문가인 임채성 한국 인더스트리4.0 협회장을 초청, 특별 대담을 통해 이러한 급격한 변화의 분기점에서 한국제조업의 디지털 트랜스포메이션 현황과 과제를 집어보고, 불확실한 환경 속에서 앞으로 국내 제조 산업이 나아갈 방향에 대해서 집중 조명을 하고자 합니다.
주제 : 디지털 트랜스포메이션을 통한 한국제조업 생산성 혁신
* 연사
- 빌 루 (Bill Ruh) : GE 최고디지털책임자 겸 GE Digital 사장
- 임채성 : 한국 인더스트리4.0협회장 및 건국대 경영대학 기술경영학과 교수
Each individual business with their own unique assets and supply chain optimizing their decisions according to their incentives, abilities and working culture. The latest developments in Planning (Petro) and AI use cases.
Connected Service: Leveraging M2M and IoT Data to Create Proactive 1:1 Custom...Capgemini
Most companies with M2M and IoT systems analyze the data only periodically to schedule predictive maintenance. At Capgemini, we use the data generated by connected devices in real-time to create a one-to-one post-purchase dialog with the business customer or consumer.
By analyzing the condition, performance and also use of connected products like cars and machines, our ConnectedService solution can trigger real-time customer interactions in sales, customer care, and service.
By using data in this manner, we enable a new set of proactive business cases like identifying new sales opportunities, decreasing emissions, improving safety, optimizing resources, and enhancing productivity.
First presented at Dreamforce 2014 by Michael Capone, Prof. Dr. Principal Business Analyst, DCX, Capgemini.
http://www.capgemini.com/salesforce
Join us for a closer look at new IT analytics solutions from CA that will help you reduce costs and optimize the customer experience by increasing resource utilization, reducing system outages and allowing for better capacity planning of mainframe resources. See how you can perform root cause analysis in addition to correlating and analyzing data from multiple IT sources to provide better management understanding and real-time prediction of system performance conflicts while lowering MTTR and enabling more efficient mainframe operations. Take part in this highly interactive session, learn how customer-driven agile development capabilities are being prioritized and be a part of shaping the future of new IT analytics innovations at CA.
For more information, please visit http://cainc.to/Nv2VOe
Making Your Digital Twin Come to Life.pdfAvinashBatham
Tredence is excited to co-innovate with Databricks to deliver the solutions required for
enterprises to create digital twins from the ground up and implement them swiftly to
maximize their ROI.
This document discusses how predictive maintenance using Internet of Things (IoT) data and analytics can help reduce unscheduled downtime. It provides examples of companies like American Electric Power (AEP), Duke Energy, and Air Liquide that have used predictive maintenance to detect potential failures in turbines and compressors before they caused outages. This allowed the companies to schedule repairs during planned outages and avoid more costly unplanned downtime. Predictive maintenance is presented as a key part of comprehensive enterprise asset performance management solutions that connect vast amounts of machine data to improve performance, increase reliability, and reduce operations and maintenance costs.
Bayer CropScience implemented Tango/04 to monitor its critical business services and processes across 150 service outlets in Argentina. This allowed Bayer to proactively identify issues, improve response times, and ensure high availability and quality of service. Using Tango/04's monitoring of both IT infrastructure and key business metrics, Bayer was able to gain control over its end-to-end business processes and optimize operations. This led to an international Excellence Award for Bayer and helped validate their innovative business model.
K-Electric faces business challenges around lack of real-time decision-grade data and plant monitoring across its power generation facilities. This document proposes implementing a virtualized plant data historian system using PI Server to integrate operational data from K-Electric's different power plants in real time. This centralized system would provide real-time performance monitoring, optimization, and reporting capabilities to help K-Electric address issues like fuel optimization, emissions monitoring, and economic dispatch. The proposed solution involves installing virtualized servers and OPC interfaces at each plant to historian plant data in the cloud and make it accessible through a centralized portal.
The Return on Invest in the Internet of Things. Mastering the Digital Transfo...Capgemini
Cisco hat prognostiziert, dass es bis 2020 weltweit über 80 Milliarden vernetzte Geräte geben wird. Solche Geräte werden Unmengen an Daten generieren. Trotz der
sinkenden Technologiekosten, werden die Speicherung und Sicherung von Daten für viele Firmen, die IoT-Systeme betreiben, zunächst ein Investment bedeuten − umso wichtiger, dass der ROI deutlich höher ist. In diesem Vortrag sehen Sie, wie Predictive Applications messbaren Nutzen liefern, ohne unrentable Datensilos zu schaffen. Anhand praktischer Anwendungsszenarien für IoT werden die ROI-Potenziale genau aufgezeigt.
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
The document summarizes Flavio Ferreira da Fonte's study on digital management of oil fields for COPPE/UFRJ. It examines emerging technologies used in digital oil fields, including real-time sensors, information management systems, high performance computing, remote monitoring centers, and data analysis/simulation tools. The study aims to maximize oil production and recovery while optimizing exploration and production costs.
Engaging specialist testing partners who were focused on their industry and had deep domain expertise provided significant benefits to two organizations. In the first case, a financial services company saw faster knowledge transfer, 50% reduction in defects and associated costs, and cost savings of up to 74% from offshore work. The second case saw a cards software maker avoid penalties, reduce defects to under 5%, and realize 88% offshore work along with 50% savings on regression costs over time through continuous improvement initiatives. Both cases showed that collaborating with a dedicated and experienced testing partner optimized management decisions around software testing.
The document discusses how IBM helps clients implement smarter processes through business process management (BPM) and operational decision management. It provides examples of how automating processes and decision logic can significantly improve outcomes like reducing claims processing time from weeks to hours and increasing straight-through processing from 22% to 96%. The document also outlines IBM's capabilities in BPM and decision management software and services and how clients can start with small projects and build toward enterprise-wide transformation.
Similar to KBC Proven Application of Digital Twin (20)
digital applications and capabilities needed to achieve operational excellence: applications and capabilities that derive their value from knowledge of how the plant has operated in the past combined with its current and future potential; and an actionable optimum path to achieving and sustaining that potential.
Optimization in the conceptual or feasibility stage provides:
Specifications for the Licensor Process Design Package (PDP) before design begins and opportunities to minimize utilities capital costs
The digital twin is the key to effective decision-making in this new world. Making better decisions, faster, that can be executed perfectly, every time, is vital for delivering superior results. However it is easier said than done.
Integrated asset model can provide a single source of the truth across the full stream for how molecules and operating conditions behave at the unit- and asset-wide level;
Thereby providing actionable insights into production activities that can drive convergence in decision-making and action across organizational silos.
The future involves refining industry is becoming more efficient regardless of technology choice. Reduce cost, improve value chain and be responsive with a digital twin
Optimizing the hydrocarbon value chain means the business of extracting value from each point in the chain from feed to production to client delivery. There are opportunities to leverage recent advances in digital technologies, AI and ML to significantly enhance profitability and allow companies to confidently face the future.
This document discusses opportunities for automated and optimized decision making in scheduling across the hydrocarbon supply chain. It identifies several areas where scheduling decisions could benefit from computer-aided models, including crude supply logistics and blending, marine terminal operations, pipeline transportation, refining operations like gasoline blending, and liquefied natural gas transportation. However, traditional optimization approaches have limitations for scheduling problems due to complex logistics constraints, alternative feasible solutions, and integration with business processes. The document proposes using simulation models integrated with optimization techniques to generate automated scheduling decisions while preserving operational flexibility. It provides an example of optimizing crude tank scheduling and quality targets.
The document discusses using HTRI's heat exchanger simulation technology within the process simulator Petro-SIM. It describes how HTRI's rigorous heat exchanger models can be embedded within Petro-SIM using direct links, CAPE-OPEN, or the new XSimOp ShellTube model. The XSimOp model allows shell-and-tube heat exchangers to be simulated and rated directly within Petro-SIM in a robust yet fast manner, leveraging HTRI's research on heat exchanger performance prediction.
MPC uses Petro-SIM for flowsheet modeling across its six refineries, including converting 500 models to Petro-SIM. FCC and other reactor models were updated to the latest versions. Refinery-wide models were built for two refineries that include custom representations using spreadsheets. Crude assays are imported from spiral assays and calibrated in Petro-SIM. Spreadsheets and user code allow flexible modeling of logic switches and CSTR reactors to represent refinery units.
This document presents an overview of simple tools available in Petro-SIM, including a flash tool, pipe hydraulics tool, and steam table tool. The flash tool and pipe hydraulics tool are driven by Excel workbooks and can standardize repetitive engineering calculations for things like vapor fraction from flash calculations and pressure drop and velocity in pipe networks. The steam table tool provides steam and condensate property calculations based on input temperature and pressure. These simple tools aim to reduce the time and effort for process engineers to generate standard data.
The document discusses integrating KBC's Petro-SIM simulation software with OSIsoft's PI system to expand unit performance monitoring capabilities. It describes mirroring the Petro-SIM model structure in PI's Asset Framework to automate the transfer of data between the tools. This will allow performance metrics and analytics to be consistently calculated and viewed on PI dashboards for improved decision making and faster troubleshooting.
This document provides an overview of updates and enhancements to KBC Engineering's Petro-SIM simulation software. Some key changes include improved models for aromatics and isomerization reactors, FCC reactor geometry and catalyst handling, delayed coker calibration and modeling, and expanded utilities for heat transfer equipment and energy systems modeling. New tools were also added for Excel reporting, multi-data set analysis, and linking simulations to process data in PI databases through an asset framework.
This document discusses using alternate specifications in reactor models. It provides examples of using the "adjust" function to target a secondary variable when standard targets do not adequately represent plant data or capture secondary effects. Specifically, it shows how adjust can be used to target hydrogen consumption in a hydrocracker calibration model and conversion in a hydrocracker predict model. It also shows how adjust can target the RON of debutanizer bottoms in a reformer predict model. The document emphasizes that adjust allows any independent variable to be adjusted to target a secondary variable.
The document discusses using user variables, scripts, and triggers in KBC software to iteratively estimate flue gas composition from hydrogen content in coke. It proposes creating user variables to store the hydrogen target and estimated flue gas CO2, then using scripts and triggers to iterate the CO2 calculation until the target is met. Diagrams show the logic flow and how triggers would solve the FCC model on changes to drive iteration. The conclusion states that user variables and scripts add functionality, and triggers require practice to setup correctly.
The document describes a Digital Operator Support System (DOSS) that transforms sensor and production data into actionable insights through real-time data integration, digital twins, and a first principle simulator. This assists proactive operations by enabling faster decision making, cross discipline collaboration, production within asset integrity limits, better utilization of resources, and adaptation to changing conditions. The DOSS provides operator support through reports, dashboards, predictions, queries, and what-if analyses to support proactive operations and time for planning.
Europe User Conference: The importance of life of field in flow assuranceKBC (A Yokogawa Company)
This document discusses wax deposition in oil and gas pipelines and presents the results of a wax deposition study for a condensate gathering system. It begins by explaining what wax is and how it deposits before discussing strategies for mitigating wax problems. It then describes a case study of a waxy condensate gathering plant where modeling was used to simulate wax deposition over the life of the field. The modeling showed that wax deposition would likely be a problem in the early years as pressure and temperature dropped but that the risk decreased over time as the wax appearance temperature also dropped. The study concluded that integrated modeling is useful for identifying real risks from wax deposition and determining the best strategy for mitigation or avoidance.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
KBC Proven Application of Digital Twin
1. Proprietary Information 1111
A practical application
of a Digital Twin
Integratingsimulationintodaily
operationstominimizelostprofit
SimonCalverley
KBC(AYokogawaCompany)
ERTC 2019
2. Proprietary Information 2222Proprietary Information 2Proprietary Information 2Proprietary Information 2Proprietary Information 2
The Digital Twin
Practical Application Today
Future Digital Nirvana
3. Proprietary Information 3333Proprietary InformationProprietary InformationProprietary InformationProprietary Information
Most well-run plants
will have a
simulation model
of the plant
Generally limited to ad-hoc use by
unit engineers for troubleshooting
and investigating improvement
4. Proprietary Information 4444
Digitalizationallowsus tocompress
timehorizons& reduceuncertainty
LossesDueto
UncertaintyReduced
Decision-Making
Time Horizon
Decision Impact
Time Horizon
SECONDS
Ago
MINUTES
Ago
HOURS
Ago
MONTHS
Ago
SECONDS
Ahead
MINUTES
Ahead
HOURS
Ahead
DAYS
Ahead
MONTHS
Ahead
DAYS
Ago
NOW
Operations
Mgmt.
Automation
Production
Mgmt.
Business
Mgmt.
DecisionValue
5. Proprietary Information 5555Proprietary InformationProprietary InformationProprietary InformationProprietary Information
A Digital Twin
goes beyond
traditional
simulation
Traditional
Particular
operating case
A snapshot in time
Ad-hoc basis to
answer
a question
Owned and used by
isolated groups
Specific tools for
different silos
Digital
Twin
Full range of asset
operation
Full history and
future
Automated to
business workflows
Centralized single
version of the truth,
used by everyone
Single integrated twin
of process, utilities and
heat exchange sys.
6. Proprietary Information 6666
Industryis conservativewhenit comestotechnology
• Exception rather than the rule
• New technology early adopters
• Will stay largely the same
• Adoption of proven technology
Survey conducted for KBC by IQPC (International Quality & Productivity Center)
Industry perspectives on adoption
of new technology
7. Proprietary Information 7777
Daily Meeting
• Unreconciled and
unstructured (spreadsheet)
data
• No predictive view of
performance for current
operations
Troubleshooting
• Data analysis only on
specific trends of the data
• Ad hoc simulations
Planning
• Compiling and reconciling
performance data
• Error identification and
time for LP model updates.
Reporting
• Data gathering and
manipulation
• Metrics, KPI’s calculations
only available in monthly
/ quarterly reports
Unit
Performance
Monitoring
processesare
bogged
down
10. Proprietary Information 10101010
Unit PerformanceAssurance
Daily Meeting
Summary report’s top
3-5 actions based on
value discussed
Troubleshooting
Plant monitored daily
with global network
expertise alerted to
issues
Planning
Real Time LP vs
calibrated Simulation
vs Plant monitoring to
generate always up to
date LP vectors
Reporting
Consistent calculation
and comparison of
metrics, and analytics
for each unit
11. Proprietary Information 11111111
US$0.05 – 0.10/bbl for ensuring that the LP is an
accurate representation of the refinery
Value of monitoring
via a Digital twin
Up to US$0.05/bbl for unit monitoring, including:
Faster response to/recovery from upsets
Remaining on plan – identifying issues and resolving
them before operation becomes constrained
Identifying improvements to realise increased value
11
12. Implemented at
Gulf Coast refiner
Identified opportunities of
$8 million in first 6 months.
Rationalized and corrected
yield accounting and unit
material balance.
Advanced analytics helped
increase uptime of key
process equipment
Case study 1
13. Case study 2
US Refiner with 12+
refineries worked with KBC
IT and Modelling services to
roll out unit health and
model monitoring
applications on nearly all
their process units.
Whole program executed in
just over two years
Uses Petro-SIM & PI
architecture
Refiner modelling team &
SMEs defined KPIs
Worked with KBC team to
speed up deployment
across multiple units
14. Case study 3
Refiner has seen significant
dollar benefits
Improved operations and
small capex opportunities
Monitoring automation
giving time back to
engineers
Greater engagement with
simulation and optimization
Large US & European
refiner uses continual
model validation through
performance monitoring to
give unit engineers
confidence in model and to
make always up-to-date
models available on
demand
16. THE MANTRA
HAS TO BE:
Proprietary Information 16
Think Big
Start Small
Scale Fast
Drive Adoption
17. Excellence
is never an accident. It is always the result
of high intention, sincere effort, and
intelligent execution; it represents the wise
choice of many alternatives - choice, not
chance, determines your destiny.
Thank You
0022-ERTC-PPT-US-112019