How does LightsOutPlanning support you in the challenge of digital supply chain? Take the chance to leverage your data via smart algorithms and machine learning to be on the edge of real time planning in order to make sound decisions.
Discover the key features of the tool; the virtual twin (1), the E2E optimizer (2), the smart parameters module (3), the E2E visibility (4) & the control tower (5).
Start your digital supply chain planning journey today!
Presentation at Logipharma event 2018 by bluecrux.
Bigdata analysis in supply chain managmentKushal Shah
big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
supply chain industry need this type of data to survive in every situations.
What is Big Data? This slide shows an explanation, knowledge and extraction techniques of big data in a factory setting, to maintain and measure performance and improve productivity in your factory, therefore increasing efficiency and profit.
Lean Production Meets Big Data: A Next Generation Use CaseDatameer
Watch this recording at: http://info.datameer.com/Online-Slideshare-Lean-Production-Meets-Big-Data.html
Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014.
This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line.
Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss:
-the current manufacturing challenges and how big data analytics can improve these inefficiencies
-how to reduce production outages by 10%
-a next gen big data analytic use case focused on manufacturing sensor data
Bigdata analysis in supply chain managmentKushal Shah
big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
supply chain industry need this type of data to survive in every situations.
What is Big Data? This slide shows an explanation, knowledge and extraction techniques of big data in a factory setting, to maintain and measure performance and improve productivity in your factory, therefore increasing efficiency and profit.
Lean Production Meets Big Data: A Next Generation Use CaseDatameer
Watch this recording at: http://info.datameer.com/Online-Slideshare-Lean-Production-Meets-Big-Data.html
Sensor and robotic data will usher in a new wave of big data opportunities and use cases in 2014.
This will be especially true in manufacturing as economic pressure to continuously improve operational efficiencies continue to challenge the bottom line.
Join Lean Production Expert Conny von Ludwig (former Porsche Consulting & Lufthansa), and Datameer CEO, Stefan Groschupf as they discuss:
-the current manufacturing challenges and how big data analytics can improve these inefficiencies
-how to reduce production outages by 10%
-a next gen big data analytic use case focused on manufacturing sensor data
Spend some time with our experts as we show you first hand how to ensure that operations remain, not only safe, but competitive and viable. We look forward to seeing you soon. Ask about a roadshow in your area. Please contact Jimmy Miller with any questions
jimmy.miller@schneider-electric.com
Telelphone: 512-599-3188
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
Smart Manufacturing & Manufacturing as a ServiceMerve Nur Taş
Introduction to Smart Manufacturing & Manufacturing as a Service.
Three important concepts are described in the light of various references: Cloud computing, internet of things and advanced data analytics.
Real-time Predictive Analytics in Manufacturing - Impetus WebinarImpetus Technologies
Impetus webcast "Real-time Predictive Analytics in Manufacturing" available at http://lf1.me/hqb/
This Impetus webcast talks about:
• The business value of predictive analytics
• How real-time analytics is enabling ‘intelligent-data’ driven manufacturing
• A Reference Architecture and real world examples based on the experiences of Impetus Big Data architects
• A step-by-step guide for successfully implementing a predictive analytics solution
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
The Digital Twin For Production OptimizationYokogawa1
Digitalization is fundamental to the development of Repsol’s strategy for the future. To meet emerging challenges, the business units have developed an ambitious program comprising multiple projects. Within Repsol’s Industrial Business, development of a refinery digital twin leads the digitalization program. The digital twin allows the business to maximize production while optimizing energy consumption. This session will explore the digital twin project objectives to improve the accuracy and scope of the Refinery LP model that the Programming and Planning departments use to make decisions regarding crude feedstock purchasing and refinery unit operations. It will also report on the context of the business goals achieved, the technology and architecture developed, and the connectivity deployed to communicate results. It will conclude with a description of how enhancements to existing technology work with new technologies to improve value.
How to drive real business value from your virtual Supply Chain twin?Bluecrux
This is the full presentation of Anneleen Tronquo (Partner bluecrux) & Valerie Vandenbroucke (Product Manager LightsOutPlanning bluecrux), presented at Logipharma 2019 (Wednesday 10 April, 2019). Learn how a virtual twin can enlighten your Supply Chain, using practical case studies.
Data Con LA 2022 - Practical Solutions to Complex Supply Chain ProblemsData Con LA
Raz Nistor, Sr. Director, Keyrus US
The Manufacturing and Consumer Packaged Goods industries are still facing unprecedented negative pressures on their operating profits from ongoing supply chain disruptions. Many of these organizations have turned to AI to solve all their problems. Surprisingly (/sarcasm), many of these same organizations have failed to realize and sustain ROI from their investments in AI. In this discussion, we will review a few solutions to supply chain initiatives we've rolled out and highlight the keys to success that we've identified to help organizations sustain value from applications in AI. In particular, we will discuss end-to-end technical solutions in demand forecasting, machine learning for lead-time optimization, and full network optimization, as well as the governance and organizational structures we have to consider to make sure the value from these solutions scales throughout the organization.
This presentation gives an overview of StreamCentral technology targeted for IT professionals. StreamCentral is software to model and build Big Data Solutions. StreamCentral consists of a Big Data Solutions Modeler that not only makes it easy to model traditional BI/DW and Big Data solutions but also auto deploys the model on the latest innovations in Big Data Management solutions (like HP Vertica and SQL Server Parallel Data Warehouse). StreamCentral Big Data Server executes the model definition in real-time. StreamCentral drastically reduces the time to market, risk and cost associated with building traditional BI/DW and Big Data solutions!
Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numér...Greg Eva
Intitulé “Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numérique”, le webinaire conduit le 28 novembre 2019 par Greg Eva, Technical Business Development Manager chez PTC, a fourni de nombreuses recommandations pragmatiques sur la façon de bien démarrer avec l’IoT et l’analyse des données.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Using Web Data to Drive Revenue and Reduce CostsConnotate
This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources.
Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more.
This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.
IT Financial Intelligence - How the world’s largest companies are evolving th...Brad Swenson
Most enterprises understand the benefits that can be derived from increasing IT cost transparency, managing IT like a business, and improving the interaction between IT and business units. Yet, despite the inherent understanding behind these admirable goals, many IT financial management initiatives and implementation projects fail to live up to expectations
Spend some time with our experts as we show you first hand how to ensure that operations remain, not only safe, but competitive and viable. We look forward to seeing you soon. Ask about a roadshow in your area. Please contact Jimmy Miller with any questions
jimmy.miller@schneider-electric.com
Telelphone: 512-599-3188
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
Smart Manufacturing & Manufacturing as a ServiceMerve Nur Taş
Introduction to Smart Manufacturing & Manufacturing as a Service.
Three important concepts are described in the light of various references: Cloud computing, internet of things and advanced data analytics.
Real-time Predictive Analytics in Manufacturing - Impetus WebinarImpetus Technologies
Impetus webcast "Real-time Predictive Analytics in Manufacturing" available at http://lf1.me/hqb/
This Impetus webcast talks about:
• The business value of predictive analytics
• How real-time analytics is enabling ‘intelligent-data’ driven manufacturing
• A Reference Architecture and real world examples based on the experiences of Impetus Big Data architects
• A step-by-step guide for successfully implementing a predictive analytics solution
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
The Digital Twin For Production OptimizationYokogawa1
Digitalization is fundamental to the development of Repsol’s strategy for the future. To meet emerging challenges, the business units have developed an ambitious program comprising multiple projects. Within Repsol’s Industrial Business, development of a refinery digital twin leads the digitalization program. The digital twin allows the business to maximize production while optimizing energy consumption. This session will explore the digital twin project objectives to improve the accuracy and scope of the Refinery LP model that the Programming and Planning departments use to make decisions regarding crude feedstock purchasing and refinery unit operations. It will also report on the context of the business goals achieved, the technology and architecture developed, and the connectivity deployed to communicate results. It will conclude with a description of how enhancements to existing technology work with new technologies to improve value.
How to drive real business value from your virtual Supply Chain twin?Bluecrux
This is the full presentation of Anneleen Tronquo (Partner bluecrux) & Valerie Vandenbroucke (Product Manager LightsOutPlanning bluecrux), presented at Logipharma 2019 (Wednesday 10 April, 2019). Learn how a virtual twin can enlighten your Supply Chain, using practical case studies.
Data Con LA 2022 - Practical Solutions to Complex Supply Chain ProblemsData Con LA
Raz Nistor, Sr. Director, Keyrus US
The Manufacturing and Consumer Packaged Goods industries are still facing unprecedented negative pressures on their operating profits from ongoing supply chain disruptions. Many of these organizations have turned to AI to solve all their problems. Surprisingly (/sarcasm), many of these same organizations have failed to realize and sustain ROI from their investments in AI. In this discussion, we will review a few solutions to supply chain initiatives we've rolled out and highlight the keys to success that we've identified to help organizations sustain value from applications in AI. In particular, we will discuss end-to-end technical solutions in demand forecasting, machine learning for lead-time optimization, and full network optimization, as well as the governance and organizational structures we have to consider to make sure the value from these solutions scales throughout the organization.
This presentation gives an overview of StreamCentral technology targeted for IT professionals. StreamCentral is software to model and build Big Data Solutions. StreamCentral consists of a Big Data Solutions Modeler that not only makes it easy to model traditional BI/DW and Big Data solutions but also auto deploys the model on the latest innovations in Big Data Management solutions (like HP Vertica and SQL Server Parallel Data Warehouse). StreamCentral Big Data Server executes the model definition in real-time. StreamCentral drastically reduces the time to market, risk and cost associated with building traditional BI/DW and Big Data solutions!
Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numér...Greg Eva
Intitulé “Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numérique”, le webinaire conduit le 28 novembre 2019 par Greg Eva, Technical Business Development Manager chez PTC, a fourni de nombreuses recommandations pragmatiques sur la façon de bien démarrer avec l’IoT et l’analyse des données.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Using Web Data to Drive Revenue and Reduce CostsConnotate
This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources.
Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more.
This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.
IT Financial Intelligence - How the world’s largest companies are evolving th...Brad Swenson
Most enterprises understand the benefits that can be derived from increasing IT cost transparency, managing IT like a business, and improving the interaction between IT and business units. Yet, despite the inherent understanding behind these admirable goals, many IT financial management initiatives and implementation projects fail to live up to expectations
Turning Big Data into Better Business OutcomesCisco Canada
The big data era is upon us as organizations are awash in social, mobile and machine-generated data. Opportunity abounds. But competition threatens. Further this high volume, data-at-the-edge environment challenges centralized data warehouse approaches typical with BI and Analytics today. Data virtualization provides a more agile, leave-the-data-where-it-lies way to fulfill BI and Analytic needs and achieve key business outcomes.
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.
Envisioning the Next Generation of AnalyticsLora Cecere
The presentation during a panel discussion at the Supply Chain Insights Global Summit in Scottsdale, AZ on September 10, 2014.
Envisioning the Next Generation of Analytics
Join this panel to hear case studies on new ways to use analytics and unleash the Art of the Possible. Gain new insights for the use of cognitive learning, concurrent optimization, and embracing new forms of data.
The panel included:
Facilitator: Lora Cecere, Founder and CEO of Supply Chain Insights
Dr. Mani Janakiram, Director of Supply Chain Strategy at Intel
Stephen N. Wagner, Global Supply Chain, Global Director, Network Design & Logistics Analytics at Schneider Electric
At IoT World 2017 Tom Fletcher, Vice President – Controls Engineering & Innovation, outlined key topics around the connected building transformation.
Including: Key Trends, History of Commercial HVAC, Technology-Enabled Transformation, Resulting Customer Business Outcomes, Challenges to Consider
Similar to #LOP workshop - bluecrux - Logipharma 2018 (20)
#bluecruxtalks crash course - Part 4 - Technology Stack StrategyBluecrux
Your expectations from your APS are too high. If you think it will solve your supply chain challenges, think twice.
Typically, Supply Chain Managers aim toward operational excellence and end-to-end visibility by implementing advanced planning solutions with the intention of:
- Seeing all the incoming demand and splitting work accordingly
- Planning resources more effectively
- Making better decisions faster to avoid shortages or reduce bottlenecks
But your APS cannot do it all on its own.
A broader technology stack needs to be embedded around your APS to get effective E2E digital transformation around your supply chain transformation processes.
Check out the final part of our #bluecruxtalks crash course and learn which type of solutions can augment your APS capabilities and how.
#bluecruxtalks crash course - Part 3 - Next-generation planning processesBluecrux
Supply Chain Managers are still continously challenged with local shortages and balancing inventory even when using advanced planning systems.
When facing local shortages, Supply Chain Planners must wait for all the data to be collected and analyzed in Excel, to paint a picture in many cases with lagging data and wait for the right person and/or organization to approve changes to the original plan… but the shortage is still there.
What actions should you take to build Supply Chain resilience and agility? How can you enable your Supply Chain Planners to be more responsive and help you identify and avoid shortages in advance?
Part of the answer lies in (a lot of) live data and organizational change.
Want to learn in detail how you can build the next generation of planning processes?
Then check out the slide deck of the third session in our #bluecruxtalks crash course, where we discuss next-generation planning processes.
#bluecruxtalks crash course - Part 2 - Digital-Ready People & Organizations.pdfBluecrux
In today’s world, Supply Chain Planners are under higher pressure to wear more hats inside the organization. They are expected to:
- Communicate powerfully and become business partners.
- Accurately manage more data.
- Understand and apply advanced analytics to the data
- And develop and oversee the execution of highly accurate plans.
But are these expectations realistic? What will the Supply Chain Planner role be like in the future? And what set of skills should digital-ready supply chain organizations have?
#bluecruxtalks crash course - Part 1 - Master Data Factories.pdfBluecrux
Today, organizations transform their planning landscape by implementing powerful APS solutions with the intention of achieving supply chain excellence by:
- Gaining end-to-end visibility
- Improving customer experience
- Increasing cash conversion
- Increasing efficiency
- Improving effectiveness
However, few of them have the data foundation needed to take full advantage of their APS capabilities because these solutions require larger quantities of data, of higher complexity, and higher quality.
We have identified 7 guiding principles for successful data governance after many planning transformations made at clients such as J&J, Roche, Novo Nordisk, Astra Zeneca...
#bluecruxtalks: building a best-in-class planning technology stack strategyBluecrux
For many customers of ours, planning transformations are a transition into one integrated planning system. However, we see a strong need to have supportive systems throughout the transformations we’ve supported.
How do you position the need for additional system capabilities, beyond the integrated planning tool, as a business lead? What is the right approach to building your planning technology stack?
In this fourth and final session of our APS transformation series, we want to share what we’ve seen in the industry. We’ll give insight into what your peers perceive as core capabilities part of the APS suite and supporting activities that best find their home in other, best-of-breed solutions.
Are you ready to build the best-in-class planning technology stack with a solid business case together? We are!
The journey towards a customer centric supply chainBluecrux
Presentation as featured in our 'phygital' event (29 Oct 2020) and presented by Anouk Schoenmakers (partner bluecrux) & Björn Kirchner (Corporate VP Global Supply Chain Henkel).
Planning transformation journeys in life sciences Bluecrux
Presentation as featured in our 'phygital' event (29 Oct 2020), hosted by Anneleen Tronquo (partner bluecrux) and Cédric Van Helleputte (Head of Planning Life Sciences bluecrux). Roundtable discussion together with 3 players of very well-recognized companies in life sciences (Bristol-Myers Squibb, Johnson & Johnson, and Novo Nordisk), on how they are experiencing their planning transformation journey.
Presentation as featured in our 'phygital' event (29 Oct 2020) and presented by Valérie Vandenbroucke (VP LOP.ai) & Trevor Miles (Thought Leader bluecrux)
Creating a single collaborative demand planning process and organizationBluecrux
Client Carousel at our 'Phygital' event (24/10/2019). Learn from Hedwig Vandenbossche (Head of Sales Operations Tereos) & Geert Wullaert (partner bluecrux) how they stay ahead of demand by leveraging all relevant data from inside and outside the organisation with Anaplan.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. 2
We are living in a world that is getting more
connected everyday…
So is your supply chain & operations….
Geert Wullaert
Founding partner @ bluecrux
+32 477 37 65 01 | geert.wullaert@bluecrux.com
Koen Jaspers
Founding partner @ bluecrux
+32 479 30 13 41 | koen.jaspers@bluecrux.com
4. 4
Does this sound familiar?
Major supply chain challenges in Pharma Increasing need for optimize supply chain
Global production
network
Asset Intensive
Increasing
demand volatility
Improve
productivity
Patient
centricity
Multi-level
product structures
Availability/Allocation
Decisions
End-to-End holistic view
of the supply chain
Business leaders want
what if business decisions
connected to core planning
One version
of the truth
Digital
transformation
Make sound
decisions
Need more
skilled planners
Big data,
machine learning
IOT, blockchain
9. 9
ERP DATA
PLAN DATA
FI DATA
…
CONTEXTUAL DATA
POS DATA
MARKET DATA
SUPPLIER DATA
SENSOR DATA
OPERATIONS DATA
CLIMATE DATA
SOCIAL DATA
YOUNAMEIT DATA
#MyNameIsBlob
11. 11
The world is changing fast… and you?
Why don’t you expect
the same for your planning
than for your driving experience?
Waymo,
the new way forward in mobility
(a.k.a. Google Self Driving Car)
Reallocation of time
spent driving to value-
added activities
(reading, working, …)
Better anticipation of
future traffic
Improved safety by reduced
driver
mistakes & risks
Optimized grid utilization
with smart algorithms
& live data
Reduced need for
driving skills
17. 17
5 core competencies
to drive better end-to-end planning decisions
Create a
virtual twin
Get
end-to-end
visibility
Set smart
parameters
Optimize
end-to-end
financials
Monitor the
control tower
18. 18
The digital CORE that empowers your planning systems
ERP DATA
PLAN DATA
FI DATA
…
SUPPLIER DATA
SENSOR DATA
OPERATIONS DATA
Demand Planning
Integrated Business
Planning
Supply Planning
Production Planning
…
Anticipated
Demand
Smart
Supply
Connected
Production
Dynamic
Fulfillment
Autonomous
Planning
Optimized
Financials
CLIMATE DATA
20. 20
Create a virtual twin
Get your supply chain model right and make it
dynamic, by mirroring your physical world in a
virtual twin.
Build your multi-level end-to-end network
automatically through crawling your
transactional data
Remove data silos and start to discover your
business from multiple angles
Get end-to-end visibility
Monitor millions of events every single day
and relate them to your virtual twin.
Get visibility across your entire network into
the most important business matters.
Install alerts to proactively highlight unusual
events
22. 22
Set smart parameters
Tap into your key supply chain parameters at any
moment.
Activate smart algorithms to learn from internal
and external data. Discover influencing factors to
plot forward-looking behavior.
Drive better supply chain decisions based on real
data & smart parameters.
24. 24
Optimize end-to-end financials
Overlay your virtual twin with your financials.
Get bottom-line results by financially
optimizing your end-to-end chain.
Walk through different proposals for the most
profitable product mix, sourcing allocation,
flows and customers/regions.
Activate perpetual scenario management and
make the right tactical and strategic business
decisions.
26. 26
Monitor the control tower
Create your personal situation room
Receive proactive notifications when new
opportunities are discovered or matters at
hand require your immediate attention.
Collaborate with colleagues and share your
insights.
75%
92%
Compression R1
Granualtion L2
Compression
Packing1
Packing2
Total Utilization
Utilisation main lines89%
28. 28
Demonstrated asset throughput and
forward looking influencing factors
Demonstrated batch sizes & output rates for
low volume SKU’s
Determine demonstrated throughput and
key influencing parameters
Identify key influencing parameters
• ↑ Asset throughput
• ↓ Energy use & cost
• ↑ Scheduling accuracy
• ↑ Factory output
Use cases, creating value from day 1!
CASE 1 CASE 2
2 years historical data of production
• Production Line
• Time of Production
• Batch size
• Scrap rate
• Production efficiency
• Focused/non-focused
production line
• Temperature
OperationsOperations
Determine actual product average batch size to be used
in Master Production Scheduling for low volume SKU’s
• Impact of product mix on output rate
• Visualize output rate & average batch size
• Identify gap between actual and planning batch
sizes
• Impact on planning accuracy
2 years historical data of production
Demonstrated lead times between
secondary packing and quality release
Determine real lead times and
scrap rate and identify key influencing parameters
Identify key influencing parameters
• ↓ Total LT reduction for fresh business
• ↓ Safety stock due to accurate LT parameters
CASE 3
2 years of material movements
• Production Line
• Time of Production
• Batch size
• Scrap rate
• Production efficiency
• Focused/non-focused
production line
QA
29. 29
Your Case ?
E2E financially optimal supply network
based on actual demonstated capacity
• ↑ Financial EBITDA
• ↑ Operational improvement projects
Use cases, creating value from day 1!
CASE
5
IBP
Determine the E2E financial optimized network
based on actual supply parameters
• Every moment the network is financially
optimised.
• Supported by real and demonstrated capacity
• Returns required operational parameters for
the required output rates
Internal data: ERP, APS, MES / External data
Dynamic supply network planning
parameters
Determine the E2E planning sensitive
parameters for an optimized supply network
• Every moment the network is in sync
• Supported by real & demonstrated supply data
• Virtual build-up of the E2E supply network
• Returns dynamic supply planning parameters
for the different planning systems (Lead times, capacities,
scrap, ...)
• ↑ Planning performance
• From static to dynamic network planning
CASE
4
3 years historical data of ERP & MES systems
Supply Choose your digital starting point
Connect your data now & start creating value
31. 31
BUSINESS CONTEXT
Industrialized network
Increasing market variability
Margin pressure
CASE: From Data to Business Value
#Coolwater
Supply Chain – Sales – Operations – Finance – Raw Materials
DATA
2 Year history
500 Sensors
OSI-PI
TECHNOLOGY
35. 35
PROCESS
What are the key influencing parameters
for my asset throughput?
Trigger asset improvements
What are the drivers in my (current) network ?
Improve E2E financials
What are best future conditions to maximize
performance?
Continously perform at optimum
CASE: From Data to Business Value
#Coolwater
BUSINESS RESULTS / VALUE
Operational performance increase through better
data accuracy & use of assets
Capacity 262 TDS/d 282 TDS/d
Yield accuracy 49,9% 50,2%
Increased throughput & reduced energy
consumption through better tank temperature
Pre-tank cooling
Less in-line cooling required
External temperature prediction
Linking external to internal data
Increased throughput by better anticipation of
future tank conditions
36. 36
Most companies spend 70% of their budget
“keeping the lights on” (Gartner)
Don’t be that company!
Which brings us to the fact that actually if not already we will start reversing the picture here behind. Where today we all probably have the feeling that we have a lot of knowledge & experience which we put into technology. For example by designing certain processes or procedures. Tomorrow it will start going the other way. Smarter and smarter algorithms will bring us insights that with our mind we would not have been able to see. And we see it already sometimes within our company when we look at each other and say ‘hey? This is strange, or this is new… but then it turns out it actually is… true.
Today, most of the time that planners spend is actually geared to keeping the lights on. It is about:
Continuous (master) data errors
Disconnected planning
Fixed parameter assumptions
No financial optimization
Functional focus instead of E2E
Limited scenario capabilities
And sometimes you hear people say that future looks even worse, with all these new technologies coming in to disrupt their planning functions. Well good news, the future looks actually better. And it is filled with:
Dynamic master data
Connected planning
Smart parameter algorithms
Financial optimization
E2E thinking and acting
Scenario driven
So that you can focus on what you are good at: thinking creatively about how to create value for the company!
Now, how are we going to take this jump together?
We are building a platform that enables companies to take that leap forward, to take that jump.
And it is based on all kinds of new Technologies.
Which are no longer called SAP, JDA or BI but Spark, Python and Scala.
Of course this is not going to be done overnight. And for 1 thing, it will be driven by use cases. Use cases that build further up on the previous one and build towards that digital core by adding more and more data on the same platforms. Today, several use cases will be discussed in the breakout sessions, but in order to set the scene and also ground this presentation a bit more I want to show you 1 case already.
The case is called #coolwater, and you will understand in a few minutes better why … but ok, it has something to do with water and the temperature of it
So when you leave this event tonight, after a couple of drinks… I want you to remember 2 things:
Most companies spend 70% of their budget keeping the lights on, don’t be that company! Try to be a digital winner. And get started!
And don’t forget to Think Big, but to Start Small and to Scale Fast.
Thank you very much.