Introduction to the Aachen trial site of the EU-funded FINESCE project focusing on the demand side management in a smart factory, with a bit more detail on the use of FIWARE and Generic Enablers (GEs).
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Intelligent Manufacturing is a Smart Choice to gain on competitiveness and sustainability. Innovation technologies to boost productivity and visibility of manufacturing opearations.
Leverage IoT to Setup Smart Manufacturing SolutionsSoftweb Solutions
The Internet of Things (IoT) is now to involve in manufacturing unit to deliver and enhance the productivity of companies through smart factory concept. It gives full business insights of manufacturing process and deliver data on their devices. View more at - http://www.softwebsolutions.com/iot-manufacturing-solutions.html
The Impact of Internet of Things (IoT) in Manufacturing TodaySuyati Technologies
Considered as the most significant technology initiative of the decade - IoT is predicted to add $10-$15 trillion to the global GDP in the next two decades. Companies like Siemens and Cisco have already embraced IoT in their manufacturing plants. The infographic here talks about the advantages of having IoT in the manufacturing industry. Find out more
Reach us at:services@suyati.com
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
Intelligent Manufacturing is a Smart Choice to gain on competitiveness and sustainability. Innovation technologies to boost productivity and visibility of manufacturing opearations.
Leverage IoT to Setup Smart Manufacturing SolutionsSoftweb Solutions
The Internet of Things (IoT) is now to involve in manufacturing unit to deliver and enhance the productivity of companies through smart factory concept. It gives full business insights of manufacturing process and deliver data on their devices. View more at - http://www.softwebsolutions.com/iot-manufacturing-solutions.html
The Impact of Internet of Things (IoT) in Manufacturing TodaySuyati Technologies
Considered as the most significant technology initiative of the decade - IoT is predicted to add $10-$15 trillion to the global GDP in the next two decades. Companies like Siemens and Cisco have already embraced IoT in their manufacturing plants. The infographic here talks about the advantages of having IoT in the manufacturing industry. Find out more
Reach us at:services@suyati.com
How to answer the challenges of industrial IoT?Dieter Laevers
If you want to talk to the author Dieter Laevers, take your chance and meet him at Smart Industries in Paris, December 6-9.
Inquire for a personal meeting / demo here: www.event.movilitas.com
IOT IN MANUFACTURING , ndustrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.
When a manufacturer implements smart manufacturing, the goal is often to streamline production. But smart manufacturing uses an array of different tools and processes to get the job done. To help you understand how it works, here are 5 smart manufacturing terms to know.
Smart Manufacturing and Industry 4.0 - Tibco PoVNicola Sandoli
Smart Manufacturing and Industry 4.0: generating new insights and operational intelligence.
Manufacturers are increasingly relying on advanced analytics to understand data, anticipate and take proactive steps to prevent costly downtime and improve operational efficiency. Collecting real-time sensor data and mashups using machine learning techniques allows you to identify hidden insights into the potential equipment failures and operational discrepancies before they happen.
A look at how cognitive computing is driving new productivity and gains in the manufacturing industry. TO learn more: http://www.ibm.com/internet-of-things/iot-solutions/connected-manufacturing/
The Internet of Things (IoT), which gives users the ability to control their devices from wherever they are, is moving into industrial automation. Intelligent automation devices and industrial computing enable seamless integration, simplify the way you connect.
Challenges & Applications in the Industrial Internet of Things (IoT)MachinePulse
These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects.
About the author
Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development.
Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
How to answer the challenges of industrial IoT?Dieter Laevers
If you want to talk to the author Dieter Laevers, take your chance and meet him at Smart Industries in Paris, December 6-9.
Inquire for a personal meeting / demo here: www.event.movilitas.com
IOT IN MANUFACTURING , ndustrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.
When a manufacturer implements smart manufacturing, the goal is often to streamline production. But smart manufacturing uses an array of different tools and processes to get the job done. To help you understand how it works, here are 5 smart manufacturing terms to know.
Smart Manufacturing and Industry 4.0 - Tibco PoVNicola Sandoli
Smart Manufacturing and Industry 4.0: generating new insights and operational intelligence.
Manufacturers are increasingly relying on advanced analytics to understand data, anticipate and take proactive steps to prevent costly downtime and improve operational efficiency. Collecting real-time sensor data and mashups using machine learning techniques allows you to identify hidden insights into the potential equipment failures and operational discrepancies before they happen.
A look at how cognitive computing is driving new productivity and gains in the manufacturing industry. TO learn more: http://www.ibm.com/internet-of-things/iot-solutions/connected-manufacturing/
The Internet of Things (IoT), which gives users the ability to control their devices from wherever they are, is moving into industrial automation. Intelligent automation devices and industrial computing enable seamless integration, simplify the way you connect.
Challenges & Applications in the Industrial Internet of Things (IoT)MachinePulse
These slides detail the IoT applications for industries and the challenges they face in implementing the related technologies. Two case studies are explored - the first one is about GE Aviation and the second one on analyses MachinePulse's solution for solar power projects.
About the author
Sachin is lead Business Development Manager at MachinePulse where he works on expanding new business opportunities for the company's solutions. Sachin has close to 10 years of experience in product design & engineering of complex embedded systems, technology consulting and business development.
Sachin is also founder and manager of a Meetup group for IoT enthusiasts in Mumbai called IoT Mumbai (IoTMUM) http://bit.ly/1KIqNYT
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
Reference - Peak Management for Large FactoryGyuhak Choi
LG CNS has implemented a management control system of Peak usage point in the massive production line where it uses a huge amount of power. LG Chemistry's factory in Iksan, Korea, is a case where the world's largest behind-the-meter LiB ESS is applied.
Managing Buyer (Order Booking/ Invoicing), Vender (P.O / Store Receipt), Stock (Finish Goods / Raw Material / Scrap with Cause), Production Planning, Shortage of stock on each stage, Marketing, Support after sale ( Servicing, Sale of Semi finish goods and raw material, Report (Tax wise, Product Wise, Buyer Wise & Bill Wise), Invoicing (With Transport detail, Serial No generation, Tax & Other Charges) and a huge number of report covering the buyer order to delivery and support after sale.
Factory management-1 The Corporate Constitution and Management FrameworkEduardo L. Garcia
Developed over the last 50 years by the Japanese international consultant Koichi Kimura, The Factory Management System is the only empirical and pragmatic model of corporate excellence development as the fundamental basis of the Continuous Improvement and 6σ activities.
WarehouseNet is a warehouse management system for logistics and distribution operation. Extremely suitable for warehouse, distribution center, logistic and storage operation. Stock keeper uses it to keep track of their inventory, movement and leftover. It is able to hold all kinds of general merchandise
inventory, warehouse, receiving, deliveries, leftover, logistic software. WMS, MRP.
Analyzing data and driving business decisions to the edge of Internet-of-Things (IoT) is rapidly becoming critical for any IoT solution. And for real-time analysis of the data as it streams in is vital to many business processes. Informix, as the data management system of choice for IoT solutions delivers significant value proposition for businesses across all industry segments looking to deploy IoT Solutions. And with Apache Edgent/Quarks integration, you get real-time analysis of streaming IoT data.
Motivation Theories (Maslow's Hierarchy of Needs, Taylor's Scientific Managem...Project Student
Business Studies - Motivation Theories
There are 4 motivation theories that are explained in this presentation. Herzberg's Two Factory, Maslow's Hierarchy of needs, Mayo's Human Relations and Taylor's Scientific Management. The theories are explained, advantages and disadvantages along with images and definitions. ALSO, the 3 types of management systems are explained (autocratic, paternalistic and democratic)
In this presentation we will discuss the basics of ERP system and its structure. We will also talk about client server functions.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit: http://www.welingkaronline.org/distance-learning/online-mba.html
Smart & Digital Factory Application Lab van Sirris in KortrijkSirris
Smart & Digital Factory application Lab van Sirris in Kortrijk
Voorstelling van de 8ste site van Sirris in België, gericht op Smart en Digital factory applicaties.
(http://www.advantechindia.in) We are a renowned name engaged in manufacturing, trading and supplying a comprehensive array of Multiple Input Output Extension Module, Programmable Automation Controller, Micro Computer, Server & Workstation, Mobile Data Terminal, Drive & Storage Device, Computer Cables & Connector, etc. The offered range of products is accurately designed by our highly skilled personnel according to the latest technological advancements by making use of top-notch quality raw material & sophisticated technology following the set industry parameters.
Apache Kafka for Predictive Maintenance in Industrial IoT / Industry 4.0Kai Wähner
The manufacturing industry is moving away from just selling machinery, devices, and other hardware. Software and services increase revenue and margins. Equipment-as-a-Service (EaaS) even outsources the maintenance to the vendor.
This paradigm shift is only possible with reliable and scalable real-time data processing leveraging an event streaming platform such as Apache Kafka. This talk explores how Kafka-native Condition Monitoring and Predictive Maintenance help with this innovation.
More details:
https://www.kai-waehner.de/blog/2021/10/25/apache-kafka-condition-monitoring-predictive-maintenance-industrial-iot-digital-twin/
Video recording:
https://youtu.be/tfOuN5KeI9w
Clarisse Hedglin from IBM presented this as part of 3 days International Summit .. She shared the scenarios AI can solve for today using the IBM AI infrastructure.
Driven by data - Why we need a Modern Enterprise Data Analytics PlatformArne Roßmann
In order to turn data into opportunities, you need to build a modern data analytics platform. But because literally everything changes so fast, built-in flexibility is paramount.
This presentation covers:
- how to leverage all your data to generate insights
- the capabilities needed to build a flexible platform
- how to incorporate sustainability requirement
MT11 - Turn Science Fiction into Reality by Using SAP HANA to Make Sense of IoTDell EMC World
Data collected from the “Internet of Things” is a reality, flooding data centers at a rapid pace! But how can you take advantage of that data in real-time? Join this session to examine how Connected Business with Dell and SAP puts that data to work for you - on-premise or cloud - to build solutions that glean real-time insights from IoT
Webinar - Transforming Manufacturing with IoTHARMAN Services
The Manufacturing industry is realizing the tremendous benefits in the “Internet of Things” (IoT), an inevitable evolution to traditional M2M solutions. Innovations across embedded devices, advanced analytics, and enriched user experiences all powered by cloud, has enabled new opportunities for both perpetual revenue and perpetual customer value. In this session we will break down benefits of IoT for Manufacturing with real-world examples.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
Unlocking the Power of IoT: A comprehensive approach to real-time insightsconfluent
In today's data-driven world, the Internet of Things (IoT) is revolutionizing industries and unlocking new possibilities. Join Data Reply, Confluent, and Imply as we unveil a comprehensive solution for IoT that harnesses the power of real-time insights.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
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:
- A fully editable and extendable library for grid component modelling;
- 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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Managing shopfloor energy consumption in a smart factory
1. MANAGING SHOPFLOOR ENERGY
CONSUMPTION IN A SMART FACTORY
Using FIWARE for Demand Side Management
Julian Krenge Page 1
2. In the Smart Factory we are
producing parts of an electric car
Julian Krenge Page 2
StreetScooter Production of the underbody
3. The Smart Factory in Aachen
Julian Krenge Page 3
§ Enable manufacturing sites to
become an intelligent load in
the smart grid
§ Create simple-to-use and fast-
to-scale energy management
infrastructure
§ Demonstration factory with
direct shopfloor access
§ Production of prototypes and
pilot series to be sold
§ Monitoring of energy
consumption of machines
Objectives
Factory setup
Laser cutting machine
Bending machine
4. FIWARE GEs are used on different
layers to support integration
Julian Krenge Page 4
Data interpretation layer
Robots
Machine
tools
Assembly
stations
Connection
to the VPP
Real-time and high-
resolution data collection
Visualisation and
decision memos
Goal of the integration
Data gathering layer
Data exploitation layer
Overall architecture
5. Integration of the GEs with good
progress and results
Julian Krenge Page 5
* Enterprise-Resource-Planning, the key business management software
for manufacturing companies
Data
interpretation
layer
Data
exploitation
layer
Data
gathering
layer
GEs and DSEs
§ GE Gateway Data Handling (D, on-premise)
§ DSE OBDC Event Sink (on-premise, OS)
§ DSE Modbus Adapter (on-premise, PS)
§ GE Complex Event Processing (D, FI-Lab)
§ GE Publish/Subscribe Broker (D, FI-Lab)
§ GE Big Data Analysis (E, FI-Lab)
§ GE Object Storage (E, FI-Lab)
§ GE Application Mashup (U, FI-Lab)
§ DSE Production Planning and Control System
Integrator (on-premise, under discussion)
6. Reminder: The GE Gateway Data
Handling gathers shopfloor data
Julian Krenge Page 6
Data
interpretation
layer
Data
exploitation
layer
Data
gathering
layer
Factory Server
Machine
tool or
robot
Machine
tool or
robot
Measuring
device
Production Site Network (ethernet based)
Shopfloor
device for
operator
feedback
SPS/
CPS
Shopfloor Industrial PC
PROFINET Modbus Modbus
Data
collector
Modbus
Temporary
Storage
(Proprietary)
Manufacturing
Execution System
PROFINET
TCP
Socket
Modbus
Adapter
TCP
Socket
GE
Gateway Data Handling
(locally deployed)
HTTP
REST
API
DSE
Modbus Adapter
Northbound event propagation
to FI-WARE Cloud
HTTP
REST Local
Research
Database
OBDC
Event Sink
DSE
OBDC Event Sink
7. Assessment of the
GE Gateway Data Handling
Julian Krenge Page 7
0%
20%
40%
60%
80%
100%
Functional
suitability
Performance
efficiency
Compatibility
Usability
Reliability
Security
Maintainability
Portability The GE Gateway
Data Handling
showed a very good
overall result (83,85%)
and greatly supports a
fast and scalable
integration of energy
management in an
industrial
environment!
8. The interpretation layer is
implemented and mainly consists of
GEs
Julian Krenge Page 8
Data
interpretation
layer
Data
exploitation
layer
Data
gathering
layer
Northbound event propagation
to FI-WARE Cloud
Enterprise
Resource
Planning
Energy
Efficiency
Module
Energy KPI
Module
Production
Visualization
GE
Complex Event
Processing (CEP)
GE
Publish/ Subscribe
Context Broker
Open interface
for events
Production
database
Smart Factory API
Open interface
for historic data
9. Deep-dive: The CEP performs good
compared to commercial alternatives
Julian Krenge Page 9
Several commercial alternatives
Apama
Analytics &
Decisions
Platform
Alternatives in the research community
Evaluation in FINESCE WP3-Smart Factory
Functional suitability: Query Language fulfils
all requirements in the trial
Performance efficiency: Easily manages load
Compatibility: Out-of-the-box with Pub/ Sub
Context Broker, REST API
Usability: Text-intensive interface with good
structure
Reliability: No problems in trial experienced
Maintainability: No problems in maintenance
so far
Portability: Standardized interfaces based on
established technologies
10. iPad App to visualise factory
Julian Krenge Page 10