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.
The Value-driven Approach to Digitalizing Assets and their Supply ChainsYokogawa1
Facilities must pursue the agile optimization of feedstocks and other inputs with products and operations to reflect market demand and prices. This is how the demand-pull business model is achieved and a measurable change in profitability delivered. This presentation will showcase why a mindset shift to value chain optimization is needed, as well as the deliberate approach needed to digitally transform value chain optimization activities. The value chain digital twin combining traditional solutions and AI will be profiled, along with the first steps that need to be taken, now.
The Role And Evolution Of Advanced Analytics In The Process IndustriesYokogawa1
To improve a plant’s operation, it is important to understand it’s potential for improvement so that the right actions can be taken. Plant data and advanced analytics are the keys to maximizing plant performance. This keynote presentation will highlight the role of advanced analytics and its evolution in the years to come.”
Manage Crew Change Through Coupling of First Principles Simulation, Digital P...Yokogawa1
Simulation programs have historically been run on PCs as fully self-contained programs. The UI, calculation codes and calculations themselves have all been part of the same program on the PC itself, perhaps reading and writing against databases, file stores on the network or reading process data from plant information management systems. But the computing world is changing and many programs are now hosted in the Cloud. Building and running simulation cases is done through a web browser and calculations run without UIs in wrappers called Containers, accessed through web interfaces. Data lives in cloud data stores. The immense computer power of the Cloud and ability to multi-thread simulation technology for parallel processing has opened up the potential to run tens of thousands of simulations, with hundreds at a time, over short time periods in an automated manner – in doing so creating unprecedented levels of codified asset knowledge able to be applied at scale. This presentation will showcase the huge potential for AI/ML algorithms to be utilized and scaled more widely when coupled/trained by first principles simulation, with major benefits in how simulation is used in: Automated model building, maintenance and continuous deviation analysis; Integrated reliability and predictive equipment availability with planning and optimization; and Equipment fouling propensity predictions.
After fully exploiting digital computing technology to enable safe and efficient operation since the 1970s, the tank farm and terminal industry is in the midst of a major step change as organizations apply advanced analytics, artificial intelligence and machine learning to the massive operational data they have collected. Applications of digital transformation technologies are ultimately leading to the autonomous terminal. An autonomous terminal possesses comprehensive knowledge of its capabilities and limitations; it works with operators to provide maximum operational safety and efficiency. To realize the autonomous terminal, digital transformation is inevitable and includes fully digitalized execution, digitalized information exchange with all internal and external stakeholders, digitalized asset optimization and fully automated operations. Participants in this session will learn how to realize broad-based benefits and how operations should continuously improve in a sustainable manner.
A New Digital Maintenance Platform in a Large Petrochemical Facility to Ident...Yokogawa1
Every day, asset management teams must reliably deliver the highest predictable availability at the lowest cost. The focus should be on providing information and understanding directly to decision makers–human or machine–in a way that drives the business as a whole to make improvements. Braskem operates a very large petrochemical complex in Camacari, Bahia, Brazil that produces ethylene, polyethylene and PVC, and other chemicals. The site has recently embarked on a project to implement a digital maintenance platform to deliver enhanced situational awareness and decision support. The presentation will showcase the goals of the project and how the platform will gather data from a variety of sources in a secure manner. It will describe the automation tools, databases, manual inputs, event sorting, data modeling, and data science to deliver the intended outcomes.
Using the Industrial Internet to Move From Planned Maintenance to Predictive ...Sentient Science
Sentient Science provides Prognostics Health Management using the Industrial Internet and will show practical examples of driving down O&M costs by moving from Planned Preventative Maintenance (PPM) to Predictive Health Maintenance (PHM) for distributed assets. This presentation will outline how the IIC, and the practical benefits of integrating your distributed assets with prognostics, predictive models for life extension.
This survey was conducted in January 2016 among 400 U.S. facility leaders in establishments including data centers, commercial and industrial buildings, retail, healthcare, education, government and other building environments. Respondents have responsibility related to purchasing energy and technology solutions, and their biggest responsibilities included facility management and operations management. Facility managers are increasingly adapting their building maintenance strategies in response to the Internet of Things (IoT).
Value of solar remote monitoring and analytics for operational intelligenceMachinePulse
MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies.
The Value-driven Approach to Digitalizing Assets and their Supply ChainsYokogawa1
Facilities must pursue the agile optimization of feedstocks and other inputs with products and operations to reflect market demand and prices. This is how the demand-pull business model is achieved and a measurable change in profitability delivered. This presentation will showcase why a mindset shift to value chain optimization is needed, as well as the deliberate approach needed to digitally transform value chain optimization activities. The value chain digital twin combining traditional solutions and AI will be profiled, along with the first steps that need to be taken, now.
The Role And Evolution Of Advanced Analytics In The Process IndustriesYokogawa1
To improve a plant’s operation, it is important to understand it’s potential for improvement so that the right actions can be taken. Plant data and advanced analytics are the keys to maximizing plant performance. This keynote presentation will highlight the role of advanced analytics and its evolution in the years to come.”
Manage Crew Change Through Coupling of First Principles Simulation, Digital P...Yokogawa1
Simulation programs have historically been run on PCs as fully self-contained programs. The UI, calculation codes and calculations themselves have all been part of the same program on the PC itself, perhaps reading and writing against databases, file stores on the network or reading process data from plant information management systems. But the computing world is changing and many programs are now hosted in the Cloud. Building and running simulation cases is done through a web browser and calculations run without UIs in wrappers called Containers, accessed through web interfaces. Data lives in cloud data stores. The immense computer power of the Cloud and ability to multi-thread simulation technology for parallel processing has opened up the potential to run tens of thousands of simulations, with hundreds at a time, over short time periods in an automated manner – in doing so creating unprecedented levels of codified asset knowledge able to be applied at scale. This presentation will showcase the huge potential for AI/ML algorithms to be utilized and scaled more widely when coupled/trained by first principles simulation, with major benefits in how simulation is used in: Automated model building, maintenance and continuous deviation analysis; Integrated reliability and predictive equipment availability with planning and optimization; and Equipment fouling propensity predictions.
After fully exploiting digital computing technology to enable safe and efficient operation since the 1970s, the tank farm and terminal industry is in the midst of a major step change as organizations apply advanced analytics, artificial intelligence and machine learning to the massive operational data they have collected. Applications of digital transformation technologies are ultimately leading to the autonomous terminal. An autonomous terminal possesses comprehensive knowledge of its capabilities and limitations; it works with operators to provide maximum operational safety and efficiency. To realize the autonomous terminal, digital transformation is inevitable and includes fully digitalized execution, digitalized information exchange with all internal and external stakeholders, digitalized asset optimization and fully automated operations. Participants in this session will learn how to realize broad-based benefits and how operations should continuously improve in a sustainable manner.
A New Digital Maintenance Platform in a Large Petrochemical Facility to Ident...Yokogawa1
Every day, asset management teams must reliably deliver the highest predictable availability at the lowest cost. The focus should be on providing information and understanding directly to decision makers–human or machine–in a way that drives the business as a whole to make improvements. Braskem operates a very large petrochemical complex in Camacari, Bahia, Brazil that produces ethylene, polyethylene and PVC, and other chemicals. The site has recently embarked on a project to implement a digital maintenance platform to deliver enhanced situational awareness and decision support. The presentation will showcase the goals of the project and how the platform will gather data from a variety of sources in a secure manner. It will describe the automation tools, databases, manual inputs, event sorting, data modeling, and data science to deliver the intended outcomes.
Using the Industrial Internet to Move From Planned Maintenance to Predictive ...Sentient Science
Sentient Science provides Prognostics Health Management using the Industrial Internet and will show practical examples of driving down O&M costs by moving from Planned Preventative Maintenance (PPM) to Predictive Health Maintenance (PHM) for distributed assets. This presentation will outline how the IIC, and the practical benefits of integrating your distributed assets with prognostics, predictive models for life extension.
This survey was conducted in January 2016 among 400 U.S. facility leaders in establishments including data centers, commercial and industrial buildings, retail, healthcare, education, government and other building environments. Respondents have responsibility related to purchasing energy and technology solutions, and their biggest responsibilities included facility management and operations management. Facility managers are increasingly adapting their building maintenance strategies in response to the Internet of Things (IoT).
Value of solar remote monitoring and analytics for operational intelligenceMachinePulse
MachinePulse attended India Solar Week 2016 from June 2-3 in New Delhi. Our keynote speaker talked about how remote monitoring and analytics helps in increasing the operational efficiency of a solar plant. The presentation includes information about the company, our products and case studies.
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. 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.
Building a Robust Foundation for Digital Asset ManagementYokogawa1
No sound operational decision can be made without relevant and accurate plant information to support it. No timely decision can be made if accessing source information is difficult. And no automated actions should be allowed without reliable data inputs and confirmed availability of final control elements. This presentation will showcase how Koch has achieved a solid digital foundation from the sensor level to the digital twin of sensors and beyond, including standardization of how new system devices are categorized and templated making maintenance activities highly repeatable and efficient. The outcome is a solid data foundation off of which higher level advanced analytics can be undertaken for superior asset performance.
AWEA Cognitive Analytics for Predictive FuturesSparkCognition
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.
Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.
The Metals, Minerals & Mining industry has a resource
problem — operators that are untrained and subject to
a high rate of employee attrition; and plants that operate
at less than optimized conditions. To reverse the trend,
the industry must promote and accelerate mining
operations excellence. It must be done quickly, with
little room for uncertainty.
Learn more about our System Integrator Alliance Program - A global partnership transforming industry and infrastructure by helping them make the most of their processes, the most of their assets and the most of their energy.
Connected Services Study – Facility Managers Respond to IoTSchneider Electric
According to a new 2017 study commissioned by Schneider Electric, facility managers are increasingly looking to leverage the Internet of Things (IoT) by implementing new digital technologies like intelligent analytics to improve maintenance decisions and operations. Explore the full results on how facility managers are reacting to IoT when it comes to facility maintenance.
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
PlantConnect is one of the most advanced IIoT Platforms. It has various products specific to needs, such as Remote Asset Monitoring System (PlantConnect RAMS), PlantConnect SFactory for Real Time Manufacturing Data recording, and analytics, and PlantConnect Insights a Historian, Data Management & Reporting Solution.
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.
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
USING FACTORY DESIGN PATTERNS IN MAP REDUCE DESIGN FOR BIG DATA ANALYTICSHCL Technologies
Though insights from Big Data gives a breakthrough to make better business decision, it poses its own set of challenges. This paper addresses the gap of Variety problem and suggest a way to seamlessly handle data processing even if there is change in data type/processing algorithm. It explores the various map reduce design patterns and comes out with a unified working solution (library). The library has the potential to ‘adapt’ itself to any data processing need which can be achieved by Map Reduce saving lot of man hours and enforce good practices in code.
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.
It seems that everyone is talking about Big Data these days. As the Industrial Internet evolves and continues to feed the Big Data machine, companies are finding it more and more critical to develop strategies for turning data into information and information in intelligence. There’s certainly not a shortage of technologies in the marketplace to start playing with the petabytes of data coming from within and outside of the enterprise.
This is the powerpoint presentation used by our guest speaker Barbara (Barb) Kruetzkamp, IT Leader in Data Management at GE Aviation, to discuss approaches and frameworks to enhance business intelligence capabilities by linking industrial and enterprise (internal) data. We also compared traditional vs. transformational IT execution models, and how to put data first.
Barb was born and raised in Cincinnati, Ohio. She attended Thomas More College in Kentucky, graduating with a B.A. in Computer Science and Business Administration. She built technical depth leading infrastructure architecture, then as a Chief Enterprise Architect at GE Corporate. Barb returned to GE Aviation in 2014 to lead the master data management initiative. Barb enjoys volunteering with the developmentally disabled, STEM and high school band students. She also likes to cook, jazzercise, and travel abroad. Her 3 kids keep life active and fun.
Case Study: Increasing Produban's Critical Systems Availability and PerformanceCA Technologies
The Santander Group is a Spanish banking group and the largest bank in the Eurozone by market value. It is also one of the largest banks in the world in terms of market capitalization. Produban is Santander’s group company responsible for Santander's entire IT infrastructure. The Produban challenge was to monitor - proactively and in real time - all transactions running in critical systems and being able to take action before major problems happen. Considering this scenario, Produban adopted CA Core APM (CA Introscope) in order to count with alerts that permit to the technical team to detect problems before they impact business.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
MachinePulse provides rapidly scalable, end-to-end solutions to enable a smarter industrial Internet-of-Things. Our product offerings are modular and domain-independent. We offer a complete range of products from Industrial grade data acquisition devices to a robust and scalable cloud platform that can be deployed together or into existing IoT workflows with full flexibility. Using our products and rich domain expertise in the renewable energy sector, we have built applications to provide operational intelligence for the solar photovoltaic and wind energy industries. We are also working with our clients to deploy monitoring and analytics solutions for other industries. Our philosophy is “Any Device, Any Network, Any Protocol”.
International competition, shorter product life cycles and faster technological leaps forward – these are only a few of the challenges the production of a company is facing in the 21st century. In order to survive in an environment like this, resource-efficient and secure planning of production processes are necessary to guarantee a consistent and high quality output. Unforeseeable machine failures as well as performance drops or deterioration in quality because of defective system components can lead to shortness of supplies which will eventually weaken the market position of the entire organization.
To meet these requirements organizations are increasingly focusing on the improvement of maintenance, repair and operations of their machinery. In the previous years, the industry shifted their focus away from only reactive repair mechanisms towards the predictive coordination of machine maintenance.
Predictive Maintenance falls under the category of the future of maintenance developments. Originally developed in the course of the “Industrie 4.0” high-tech strategy of the German government, today Predictive Maintenance represents the informatization of production processes - intelligent IT-based production systems on the path towards a Smart Factory. 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.
Building a Robust Foundation for Digital Asset ManagementYokogawa1
No sound operational decision can be made without relevant and accurate plant information to support it. No timely decision can be made if accessing source information is difficult. And no automated actions should be allowed without reliable data inputs and confirmed availability of final control elements. This presentation will showcase how Koch has achieved a solid digital foundation from the sensor level to the digital twin of sensors and beyond, including standardization of how new system devices are categorized and templated making maintenance activities highly repeatable and efficient. The outcome is a solid data foundation off of which higher level advanced analytics can be undertaken for superior asset performance.
AWEA Cognitive Analytics for Predictive FuturesSparkCognition
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting™, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.
Research has demonstrated the value of Machine Learning in delivering next generation analytics to improve safety, performance, and reliability in today’s modern wind turbines.
The Metals, Minerals & Mining industry has a resource
problem — operators that are untrained and subject to
a high rate of employee attrition; and plants that operate
at less than optimized conditions. To reverse the trend,
the industry must promote and accelerate mining
operations excellence. It must be done quickly, with
little room for uncertainty.
Learn more about our System Integrator Alliance Program - A global partnership transforming industry and infrastructure by helping them make the most of their processes, the most of their assets and the most of their energy.
Connected Services Study – Facility Managers Respond to IoTSchneider Electric
According to a new 2017 study commissioned by Schneider Electric, facility managers are increasingly looking to leverage the Internet of Things (IoT) by implementing new digital technologies like intelligent analytics to improve maintenance decisions and operations. Explore the full results on how facility managers are reacting to IoT when it comes to facility maintenance.
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
PlantConnect is one of the most advanced IIoT Platforms. It has various products specific to needs, such as Remote Asset Monitoring System (PlantConnect RAMS), PlantConnect SFactory for Real Time Manufacturing Data recording, and analytics, and PlantConnect Insights a Historian, Data Management & Reporting Solution.
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.
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
USING FACTORY DESIGN PATTERNS IN MAP REDUCE DESIGN FOR BIG DATA ANALYTICSHCL Technologies
Though insights from Big Data gives a breakthrough to make better business decision, it poses its own set of challenges. This paper addresses the gap of Variety problem and suggest a way to seamlessly handle data processing even if there is change in data type/processing algorithm. It explores the various map reduce design patterns and comes out with a unified working solution (library). The library has the potential to ‘adapt’ itself to any data processing need which can be achieved by Map Reduce saving lot of man hours and enforce good practices in code.
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.
It seems that everyone is talking about Big Data these days. As the Industrial Internet evolves and continues to feed the Big Data machine, companies are finding it more and more critical to develop strategies for turning data into information and information in intelligence. There’s certainly not a shortage of technologies in the marketplace to start playing with the petabytes of data coming from within and outside of the enterprise.
This is the powerpoint presentation used by our guest speaker Barbara (Barb) Kruetzkamp, IT Leader in Data Management at GE Aviation, to discuss approaches and frameworks to enhance business intelligence capabilities by linking industrial and enterprise (internal) data. We also compared traditional vs. transformational IT execution models, and how to put data first.
Barb was born and raised in Cincinnati, Ohio. She attended Thomas More College in Kentucky, graduating with a B.A. in Computer Science and Business Administration. She built technical depth leading infrastructure architecture, then as a Chief Enterprise Architect at GE Corporate. Barb returned to GE Aviation in 2014 to lead the master data management initiative. Barb enjoys volunteering with the developmentally disabled, STEM and high school band students. She also likes to cook, jazzercise, and travel abroad. Her 3 kids keep life active and fun.
Case Study: Increasing Produban's Critical Systems Availability and PerformanceCA Technologies
The Santander Group is a Spanish banking group and the largest bank in the Eurozone by market value. It is also one of the largest banks in the world in terms of market capitalization. Produban is Santander’s group company responsible for Santander's entire IT infrastructure. The Produban challenge was to monitor - proactively and in real time - all transactions running in critical systems and being able to take action before major problems happen. Considering this scenario, Produban adopted CA Core APM (CA Introscope) in order to count with alerts that permit to the technical team to detect problems before they impact business.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
Building a guided analytics forecasting platform with KnimeKnoldus Inc.
Maintaining inventory and ensuring that stock is consumed efficiently is a key decision that many companies - particularly those in retail - have to make. Explore how you can do it easily with KNIME Platform.
SAP Active Global Support - Support for Innovation - Quality Assurance at Cus...Bernhard Luecke
For enterprises , Time to Value is what most counts in the more and more rapidly changing world. As a software provider, SAP needs to ensure the quality of the configured and extended product, integrated as part of the solution landscape of the customer. This is achieved through the SAP Control Center Concept delivered within the SAP MaxAttention or Active Embedded engagement by SAP Active Global Support.
Presentation held at "II Jornadas de Calidad del Producto" in Madrid ( http://calidaddelproductosoftware.com/2014/programa/ )
Inside 6 Dimensional Model for Industry 4.0 Smart Factory by WeboniseWebonise Lab
Webonise uses a six dimensional approach to help manufacturing companies on their path to a Smart factory with 4th Industrial Revolution. The deep dive to pure Tech Adoption Strategies + Data Driven Play for Future Factories.
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
apidays LIVE Paris - Sopra Steria: path to the industrialization of sustaina...apidays
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
Sopra Steria: path to the industrialization of sustainable IT with Euromaster
Jérémy Sintes, Digital Transformation & Sobriety Senior Consultant & Pauline Villatte, Business Analyst at Sopra Steria
ISMA 9 - van Heeringen - Using IFPUG and ISBSG to improve organization successHarold van Heeringen
Introduction to the International Software Benchmarking Standards Group and 3 cases in which function points together with ISBSG data really resulted in business value:
- Reality check of an estimate made by experts
- Assessing the competitive position of a department
- Selecting a single software supplier
When you look at traditional ERP or management systems, they are usually used to manage the supply chain originating from either the point of Origin or point of destination which all our primarily physical locations. And for these, you have several processes like order to cash, source to pay, physical distribution, production etc.
Business Case Calculator for DevOps Initiatives - Leading credit card service...Capgemini
The 2015 World Quality Report data reveals that 61% of respondent’s rate time-to-market as very important which is the key reason for the proliferation of DevOps. The biggest ingredient is speed based on efficiencies upstream and in operations. Technology leaders now need to wear a business hat and build their strategy based on cost to achieve desired velocity as opposed to cost savings.
Join MasterCard and Capgemini to learn about a real time to market driven DevOps business case calculator with technology, process and tool components.
Presented at HPE Discover Las Vegas 2016.
The Energy Management Application enables plant personnel to monitor real-time energy flow and automatically notifies operators, supervisors and cost accountants of energy inefficiencies and non-compliance of configured policies. Application functionality includes recording consumption and demand at main and sub-meters for a wide range of energy types, including power, water, chill, gas, air and steam. For more information, please go through the slide.
iARMS-EMS/PMS is developed by Envision Enterprise Solutions
Envision Enterprise Solutions is one of the fast growing global technology and innovation companies offering services in IT consulting, software implementation, system integration and development, with presence in USA, UAE, Singapore and India. Envision has solutions portfolio that range from Enterprise Asset Management, Port Automation Solutions, ERP Solutions, Application Services, Enterprise Mobility Solutions, Cloud Solutions, Performance Optimization and Real Time Monitoring Solutions. Envision is partnered with leading technology giants like IBM, SAP, Oracle and Microsoft.
The Digital Utility Plant: Unlocking value from the digitization of productionCapgemini
Digital utility plants to unleash big improvements in production costs and environmental impact.
Utilities around the world are leveraging digital technologies to enhance efficiency and optimize production. Examples show impressive returns, but we wanted to understand the wider picture of the value and benefits of digital plants. We surveyed 200 senior executives in utility companies around the world with annual revenues of more than $1 billion to know about their digital plant initiatives.
Similar to The Digital Twin For Production Optimization (20)
Data, Data, Everywhere...GA10 Brings It All TogetherYokogawa1
Today, data is everywhere. Collected by a multitude of sensors and devices, most organizations have plenty of data. The question becomes, “What should you do with it all?” In steps Yokogawa’s GA10 Data Logging Software. GA10 acquires data from various instruments via communications, such as EtherNet, Modbus, and OPC-UA, and enables centralized monitoring and recording of data from a PC or remote location. With all your data in the same place, users can make real time decisions while monitoring standard or custom dashboards, receive automatic reports, send email or alarm notifications to maintenance personnel, and much more. Let’s put your data to work, when you bring it all together, with GA10!
In this webinar, we will:
• Share best practices for monitoring, recording, and transferring data
• Challenges in data acquisition and how Yokogawa can help
• Demonstrate GA10 Data Logging Software capabilities:
Seamlessly connect Yokogawa and 3rd party devices
Easily create projects and standard or custom dashboards
Generate automatic reports, notifications, alarms, and emails
Chromatography is introduced to us from a very young age; from marker and coffee filter art projects to the simple black ink separation. All of which the pigments wick from the papers are different speeds when dipped into water, showing the various types of pigments. Chromatography is based on this originally when it was first used for the synthetic dye industry in the early 1990s as Chromatography means color measurement.
This one-hour session covers chromatography basics and explains what makes up a process gas chromatograph that is used today.
We will dive into:
Different types of sample injection methods.
What and how a separation column works.
Basic rules of thumbs for best practice.
An Economic X-ray of Digital TransformationYokogawa1
Recent dynamic market changes and uncertain business environments have placed a sharp focus on digital transformation (DX). DX initiatives must clearly align with business strategies and have a clear vision of where, and how, they add value in terms of enhanced profitability, capital efficiency and license to operate. Focusing on enhanced profitability, we start with a simple refresh of the “Profit & Loss” or income statement and demonstrate how it is impacted by DX initiatives, thereby demonstrating how money is made and lost. These general concepts are reinforced with several real-life examples across the upstream, refining and bulk chemical sectors. Through this exercise, conclusions are drawn on where DX has the greatest immediate impact.
Using A Unique, Next Generation APC Solution To Address Common Problems In Th...Yokogawa1
Shell Chemical's Geismar plant is the largest alpha olefins producer in the world. Being ready, situationally aware and making the right decisions only guarantees success with efficient and effective operational execution. This presentation will profile a series of unique ways to solve common multi-variable process control challenges often encountered in chemical processing units. Several examples will be given that were used at Shell’s Geismar facility to drive superior efficiency and productivity savings.
Open Process Automation: Status of the O-PAS™ Standard, Conformance Certifica...Yokogawa1
Today, end users in the energy and chemical industries must work with and integrate multiple proprietary systems in almost every process plant or facility. These systems include manufacturing execution systems (MES), distributed control systems (DCS), human-machine interfaces (HMI), programmable logic controllers (PLC) and inputs/outputs (I/O). These multiple proprietary systems, and the integration thereof, result in elevated capital costs on new projects and high total cost of ownership through the asset lifecycle, especially in the operation and maintenance of such systems. The Open Process Automation™ Forum (OPAF) is an international forum of end users, system integrators, suppliers, academia, and standards organizations who are working together to develop the specifications for open process control systems. OPAF’s goal is to enable more open and modular systems that supports integration of best-in-class components. This architecture will provide both configuration and application portability across components from different suppliers, thereby reducing system capital cost and total cost of ownership. The vision is a standards-based, open, secure and interoperable process control architecture that reduces the cost of control system upgrades and replacements, as well as removes barriers to technology insertion, with adaptable cybersecurity designed in. This keynote presentation will outline the Open Process Automation initiative, standard and status of industry prototyping, as well as share evidence of commercialization.
Multi-Site Optimization To Drive Value Creation In ChevronYokogawa1
The vision should be one of an asset, or portfolio of assets, that exists in the context of, and is synchronized with, its supply chains and surrounding business environment. The asset(s) together with its supply chain should continuously respond in unison to market signals, disturbances, and optimize holistically. Since the early 1980s Chevron has developed and continued to enhance its proprietary linear programming (LP) technology, Petro, to select the most profitable raw materials, evaluate product options, optimize refinery processes, and promote efficient capital investments across its global refining network. Key to this has been the use of Petro, with its highly efficient multi-location modeling methodology, to optimize raw materials and product supplies between refinery sites. This presentation will showcase how Chevron drives transformational value through multi-site optimization, and how development of associated people and business processes have accompanied evolution of the technology.
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Shift team effectiveness: Don't bother if you can't change "shop floor" shift...Yokogawa1
Overall shift team effectiveness is critical, but especially shift handover activities. Shift teams are at the point of manufacture and hold the keys to plant and equipment safety, reliability, production and product quality, as well as operational discipline. Shift handovers take just 5% of operational time, but account for around 40% of plant incidents. So if you want your digital transformation (DX) initiatives to succeed, you need to think like an operator–to empathize and gain credibility with those on the shop floor–and to translate the DX agenda into their language. Only through this can a true changing of ways occur. This session will showcase a proven shift team effectiveness model comprising four key areas and sub-components–organizational capability, work environment, information and technology, and operating practices–and how they all need to work in tandem with each other. A case study will demonstrate how these areas should be leveraged to ensure safety, reliability and production information effortlessly flow in, and out, of the shift team to the various support departments.
Adversity Drives Innovation and Enterprise Resilience to Best Leverage a Hist...Yokogawa1
In most plants, process data is generated by various OT systems such as the DCS or SCADA, blending systems, dosing systems, fault detection systems, smart instruments, etc. Enterprise process historians should be the system of record for all operating data and should support achieving a ‘single source of truth’ for the plant. The desire to have a single source of truth for all data types that can be consumed in decision making and execution is driving IT/OT convergence. How enterprise process historians are leveraged, both on-site and remotely, is crucial for business continuity and advancement toward increasingly autonomous operations. This presentation will showcase how new processes and techniques around remote monitoring, data extraction and advanced analytics enabled Kuraray to maintain situational awareness and visibility into key plant operations whilst social distancing during COVID-19.
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Contributing to the Development and Application of Cybersecurity StandardsYokogawa1
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Asia NOC Bridges Business-wide Performance Objectives and KPIs through an Adv...Yokogawa1
Misalignment and conflicting performance objectives between management and front line operators is the root cause of a lot of profit erosion. Businesses need systematic ways to align senior management objectives and operating KPIs. This presentation will demonstrate how a National Oil Company in Asia utilized data analytics and KPI trees with drill-down capabilities to systematically align performance objectives and KPIs in its gas processing division to achieve profit driven operations. The presentation will also highlight how first principles digital twins can be incorporated to serve as a soft sensor to deliver further accuracy and rigour.
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DX value delivery at scale requires high quality data to be accessible to the users and systems that rely on it. This means critical measurement, control, optimization, communications and storage infrastructure needs to be in place, designed with adequate capacity and secured against mis-use and bad actors. To achieve this there is an array of inter-related considerations needed across physical infrastructure, security, privacy and confidentiality, software infrastructure and cloud infrastructure. This keynote presentation will focus on the ideal L1-L5 integrated technology vision to underpin and deliver optimum operability and competitiveness in process facilities. This includes, among others, field asset lifecycle activities, capital project execution, control room operations and alarm management, legacy system upgrade / progressive compatibility, field operations, maintenance and virtualization, process / energy / combustion optimization, alarm management, collaborative information availability, remote operations and maintenance, advanced analytics, cloud solutions and cybersecurity/IT services.
Real-time Data, Site wide Digital Twin, and Proprietary Analytics Cuts into P...Yokogawa1
Energy is one of the largest costs for process facilities. While operators can save significant money with minimal impact to production, they often lack structured and automated digital technologies to identify and sustain performance improvements. The situation is further exacerbated by the lack of inconsistent data and inaccurate tools. This presentation will showcase how a process facility combines real-time data, site-wide digital twin, and proprietary analytics in a digital energy management solution to deliver up to 15% sustainable reduction in facility energy costs and carbon footprint. Performance gaps are automatically identified and broken down using a best technology benchmark to highlight improvement areas in real-time. Daily facility energy improvement opportunity lists are provided for operators to maximize value and track the efficacy of planned capital projects with accurate projections so operators can make faster informed decisions for capital allocation throughout the implementation cycle.
Plotting the Path to Autonomous OperationsYokogawa1
Digital transformation (DX) is becoming the journey towards autonomous operations across devices, equipment, business and process systems. The application of advanced intelligence and cognitive technologies across operations, supply chain planning / scheduling / distribution, engineering, field operations, and maintenance is enabling adaptive and dynamic responses to market changes and asset disturbances. It also enables real time self-optimization of processes. High levels of industrial autonomy require a strong automation base layer; procedure automation; use of more intelligent sensors; remote surveillance and inspection through traditional approaches and with robotics and drones; digital twins; artificial intelligence (AI), and other analytics to monitor, predict, and mitigate process and equipment failures. This presentation will provide an overview of the levels of industrial autonomy and applications. Furthermore, it will show what companies can do today and in the future to achieve autonomous operations.
Leveraging Next Generation APC Technology to Compress Decision CyclesYokogawa1
Advanced process control (APC) is a key foundational technology in the ongoing digitalization at one of Shell’s Refineries in Deer Park, Texas. It is used to continuously push facilities to their optimum constraints when faced with disturbances such as changes in feed, ambient conditions or economics.
This presentation showcases the use of a new, next generation APC technology, jointly developed by Shell and Yokogawa – called Platform for Advanced Control and Estimation (PACE). The focus will be on a reformer unit, commissioned in 2019, where the variability of octane was significantly reduced resulting in significant operating benefits.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
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Cyberattack types and targets
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Attacks on counties – USA
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In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
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https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
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During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
3. Over 23,000 employees
in 24 countries (Main Headquarters
Madrid (Spain)
1. Repsol Worldwide
Industry challenges and how Repsol faces them
"Our future is bound to turn us into a global multi-energy provider, capable of supplying each
individual with the energy they need at any given time in a safe, competitive, and sustainable way"
Average net production:
~ 715,000 barrels of oil equivalent per
day. 750,000 barrels in 2020
SERVICE STATIONS:
+ 4,850 in Spain, Portugal, Italy, Peru
and Mexico
7 industrial facilities in Spain, Portugal
and Peru, with a refining capacity
of over 1 million barrels per day
We have incorporated low-emissions
power generation assets, with a
total installed capacity of 2,950 MW.
Target: 4,500 MW in 2025
Responsible mobility: 1,200 electric
vehicle charging stations and
797 Autogas (LPG) supply points
Distribution of petrochemical products
and lubricants in over 70 countries
CO2
reduction in 2018: 310 kton
CO2
eq emission in 2018: 10,3 Mton
CO2
reduction 2020: 2,1 Mton
190 Circular Economy
initiatives detected
2,500 M€ linked investment
to Energy transition
up to 2020
4. 23,500 /
84
People /
Nationalities
24 / 5
Present
in different
countries /
Continents
Upstream
Industrial / Commercial & Renewables
Both
1. Repsol Worldwide
Industry challenges and how Repsol faces them
5. “We are convinced that we must set more ambitious objectives
to fight climate change. We believe now it is the right time for
Repsol. We do it with the utmost confidence that we're investing
in the future, and addressing the significant challenges that lie
ahead with strategic clarity is what will enable us
to turn them into opportunities.“
Josu Jon Imaz, Repsol CEO
7. 2. Executive Summary
Why
How
What
Where
Who
Improve accuracy and frequency of updates for Planning
Models to take better decisions
Using a Digital Twin that combines Petro-SIM first principles
model with OSIsoft PI historian and dashboards
Digital Twin generation that allows to monitor reality vs.
model results (LP Vector & Simulation model), check health
and be able to update the LP vectors in an agile way
Bilbao’s FCC Unit in Spain
A combined Repsol*/KBC team developed the technology
* Refinery Planning Department, Business Department and Technology Lab.
8. 2. Digital Twin Solution - Objectives
Simplified workflow
Simplify model
evaluation
Simplify planning
model (LP vector
update
Model assurance
One version
of truth
•The Digital Twin
automates data
collection and
processing, so that
focus can be put in
analyzing results
instead of
generating data
•The Digital Twin
provides indicators
that are monitored
to check health of
LP Vectors and
Simulation model
comparing to
reality, at a glance
•If required, the
Digital Twin
provides a solution
to update the LP
Vectors based on
rigorous Petro-SIM
model
•The Digital Twin
provides early
detection and
notification of
relevant deviations
between actual
data and LP Vector
results
•The Digital Twin
provides access to
the process and
lab data but also to
derived indicators
that can be used
throughout the
organization
9. 3. Let’s Focus
A. The solution Architecture
B. Petro-SIM Model
C. PI – Vision Displays
D. Workflow
11. ▪ Simulation is a Petro-SIM calibrated first principle model used
in backcasting prediction mode, allowing:
• Calculation of critical operating parameters that allow a
better understanding and monitoring of the process. It is
sensitive to changes in feeds, operating conditions, catalyst
used and fractionation
• Updated calibration generation for digital twin itself
▪ Generates indicators to monitor input data quality, reality vs.
model results (LP Vector & Simulation model) and health of the
tool
▪ Generates new LP Vectors based on monitoring criteria if there
are deviations
▪ The model is run automatically as required – regular basis,
e.g. daily, weekly
▪ Petro-SIM model reads data from PI and write data back to PI
B. Petro-SIM Model
12. An accurate representation of the asset
over its full range of operation
Capture the full history and future of the asset
Automated, regular model runs.
Built-in to business workflows
Centralised single version of the truth, used by
everyone, outputs delivered directly to the business,
strong governance systems
B. Digital Twin vs. Traditional Simulation
Digital twin is a digital analog of the actual process that allows for
better operation and understanding of the facility
An accurate representation of a
particular operating case
Traditional Simulation Digital Twin
Provide a snapshot in time
Built on an ad-hoc basis to
answer a question
Owned and used by isolated groups
on an ad-hoc basis
13. ▪ Dashboards can incorporate results from
Petro-SIM alongside other PI data
▪ Displays are developed to help the users follow
the desired workflow.
• The Digital Twin generates a lot of information that
different stake-holders might use in different ways
• By using customized displays, we ensure that a
consistent procedure is used
▪ You can generate alerts to relevant deviations or
data quality
▪ Expert users can perform deeper analysis through
direct interaction with Petro-SIM, as needed
C. PI – Vision Displays
14. D. Workflow
?
Good LP match
Validated LP
model
Poor LP match
Update LP
sub-model
Poor simulation match
Update model
calibration
Scheduled
executions
Check DQPs ?
Bad input data
Check data
Dismiss results
Re-execute
historical runs
Validated input data
Check MPIs
15. 4. Digital Twin Solution - Implementation
Solution deployment
Model development
Workflow development
▪ Integration of historian data into the model: Identify missing data
▪ Testing based in historical data and evaluation of failed simulation runs: Identify systematic issues
▪ Development of error trapping mechanisms
▪ LP sub-model integration / Development of the LP update tool
▪ Coordinating between teams to agree on meaningful indicators
▪ Agreeing upon a workflow
▪ Developing displays to assist in those workflows
▪ Automating simulation runs
▪ Implementing the workflow
16. ▪ Apart from experience of subject matter experts (SMEs), most
decision-making activities related to improving plant profitability
(e.g. scheduling, planning, real time operations, retrofitting, etc.) rely
on a process model
• To change from traditional simulation to a digital twin solution assures
the best decision over time
▪ Digital twin model can accelerate identification and resolution of unit
issues and improved productivity
▪ Centralized solution provides information to all stakeholders
requiring information across the organization with no need for
advanced knowledge of the simulation model
• Digital twin provides a unified template from which the different teams
can discuss issues (model updates, bad lab data, etc). It constitutes a
single source of the truth
▪ The integration with PI allows modification of only one source and
leverage PI Vision dashboards
5. Summary and Conclusions
Real-Time
Data
SME
Domain
Knowledge
Production
Optimization
Digital Twin
/ Monitoring
Tools
Asset and
Supply Chain
Optimization
Asset and
Supply Chain
Models
Remote
Service
Support
17. 5. Summary and Conclusions
Potential Future Extensions
• First principles model may be supplemented with additional information and machine-learning models
to handle equipment and process states 🡪 HYBRID MODELS
• Monitoring economic performance of the unit
• Adding to the simulation model the energy KPI’s of another Project we are implementing
at the same refinery
18. The names of corporations, organizations, products and logos herein are either registered trademarks or
trademarks of Yokogawa Electric Corporation and their respective holders.
Digital Twins
Provide single source of the truth,
driving alignment of decisions and
actions across the value chain