sap leonardo iot edge sap intelligent rpa plant
TRANSCRIPT
SAP® Innovation Awards 2020 Entry Pitch Deck
SAP Intelligent RPASAP Leonardo IoT Edge
Plant Connectivity (PCO)
SAP Data Intelligence
(Data Hub)SAP Analytics CLoud
Martur Fompak International
PIONEER - Increase the Usage of Renewable Energy and Reduce the Carbon Footprint
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Company Information
Headquarters
Industry
Web site
Istanbul, Turkey
Automotive Seating
www.martur.com
Founded in 1985 to produce molded foam, Martur is now one of the world’s leading suppliers in automotiveseat production. Having 12 production plants in Turkey, Romania, Russia, Algeria, Morocco, Poland,Ukraine,Italy with more than 6000 employees, Martur continues to make new investments . The companydesigns and manufactures seats for passenger cars and light commercial vehicles, designs andmanufactures integrated fabric and seat structures for the automotive industry. The company provides itsservices to leading domestic and international OEMs.
Martur is a member of a group of companies that supply high quality products to the automative industry.With R&D and design offices in multiple locations in Europe, Martur continues to set the standards for theindustry.
Integrity and focus on people assure that Martur’s excellence spans across every level of our business. Ourlong history of positive and effective employee practices provide us with a set of beliefs, approaches andtools that we implement even in the finest details of our business. In light of with our core values, we harbor adeep commitment to our employees. Developing and motivating our people as innovators and leaders formsa cornerstone in our management approach, which we believe it is the main driver our success.
Martur is commited to the SDG’s by UNGC; especially for climate action.
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Challenge
Solution
Outcome
Global sustainability goals are
included into MFI objectives by
the sign of the letter of
commitment of UNGC in 2012. We,
MFI, are always willing to be a
pioneer to implement
innovative activities. In these
days, all of us feel the reverse
effect of global warming in daily
life. We take the responsibility to
reduce our contribution in climate
change by following strictly SDGs,
especially climate action,
affordable and clean energy. We
gain the most important benefit by
implementing AI into energy
management for eliminating
energy consumption during non-
production time and selecting
renewable energy source to
consume in order to reduce our
carbon foot print.
Özlem Altınışık,
Director Information Technology,
Martur Fompak International
Martur Fompak International
We stored the data received from IoT devices on SAP HANA were stored and data are processed instantly with SAP Data Intelligence (AI) to increase
the energy efficiency of the machines. Thanks to ML that the future energy consumption were estimated efficiently by evaluating the production
planning data obtained from ERP / APO and energy consumption data obtained from MII. Besides, we anticipated the rate of renewable energy by
analyzing the data of energy sources firms and this will be used in the future to plan production to use more renewable energy. We reported all
processes were reported instantly with SAP Analytics Cloud.
As a result of this project, the energy consumption in non production time were reduce significantly and the renewable energy consumption was
increased in production time and so, carbon footprint was reduced.
6%
To collecting data from 12 plants in 8 different countries and analyze them by MII and AI to find out the best solution to reduce the
energy consumption, green house gase emission and to increase the usage of renewable energy sources.
Rate of usage
Renewable
Energy
Green House
Emission
Reduce
PIONEER
Rate of reduced
useless electricity
consumption by
MII and AI
20% 4,5%
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Participating Partner Information
"The PIONEER project which aims to increase the usage of renewable energy and
reduce the carbon footprint is an amazing example of SAP’s purpose of helping the
world run better and improve people’s lives. That’s been our purpose from day one.
We’re glad to help MFI run their best and achieve their goals by delivering the right
technology."
Ugur Candan, MD, SAP Turkey
SAP TURKEY
Technical Support for Data Intelligence / Data Hub
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Business Challenges and Objectives
We, MFI, aim to be the leading seat manufacturer in the World with the our company culture which puts the human being to the first
priority. For that reason by increasing the use of renewable energy and reducing our carbon footprint we contribute to reduce the
reverse effects of global warming.
P Prediction , I Intelligence, O Optimization, N New & Innovative, E Environment, E Energy, R Renewable
In line with this priority; the instant data should be analyzed to eliminate the energy losses in our machines and to increase the use of
renewable energy sources.
▪ To eliminate energy losses in our machines, instant data should be analyzed to stop the machines during non-production time.
▪ To increase the usage rate renewable energy usage rate in production, we should forecast the seasonal trends and the time
intervals for which we can benefit from maximum renewable energy in the future.
Project Objectives
▪ To eliminate the useless energy consumption by switching off the equipment with integrated sensors
during non production time.
▪ Forecast our future consumption by analyzing our energy consumption behaviours.
▪ To analyze the renewable energy supplies and plan production according to renewable energy sources
▪ To reduce carbon footprint.
Project is called as «PIONEER» to match with our challenging objectives.
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Project or Use Case Details
We, MFI, aim to be the leading seat manufacturer in the world and we prioritize to increase the energy efficiency and to reduce the carbon
footprint. With the [Pioneer] project, we aimed to increase the consumption of renewable energy sources and to minimize energy losses with
artificial intelligence solutions.
In line with our company objectives, we eliminated energy losses on machines by controlling the data received through IoT with artificial
intelligence on SAP Data Intelligence / Data Hub. By obtaining data from SAP MII, we analyzed the amount of energy consumption per product
with HANA PAL library and determined product / workcenter based consumption trends and predicted future consumption through production
plans obtained from SAP APO/PPDS module.
We have estimated the ratio of renewable energy sources ratio and the future rates of these sources by obtaining the amount of electricity
generated by the government through DataHub service. By including solar energy generation amount in MFI, we have recorded the ratio of actual
amount of renewable energy consumption.
By combining these data, we have estimated the renewable energy ratios of product / workcenter based consumption, as well as the renewable
energy to be consumed in the future.
We kept all of the data we used on the SAP Hana database and reported on the SAP Analytic Cloud to provide instant access to the results.
Next Stage:
▪ Implementation of the project in all locations
▪ Ensuring that production shifts are planned to use more renewable energy
▪ Detection of inefficiencies or abnormalities occurring during production and create warning
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Project or Use Case Details
BW/BO
2014 2018 2019
USELESS CONSUMPTION
LOSSES
8%
OVER CONSUMPTION
LOSSES
3%
NON-OPTIMIZATION LOSSES
4%
170 Analizers
USELESS CONSUMPTION
LOSSES / WORKCENTER
2%
SAP
Analytics
CLoud
NON-OPTIMIZATION LOSSES
2%
OVER CONSUMPTION
LOSSES
1%
500+ Analizers
SAP IoT Edge
Plant Connectivity
(PCO)
SAP Data
Intelligence
(Data Hub)
2015 2016 2017
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Project or Use Case Details
GREENHOUSE GAS EMISSION- TON CO2* 3558* 2018 Sustainability Report Emission Value
SAP ANALYTICS CLOUD POTANCIAL
GREEN HOUSE EMISSION SAVING
POTANCIAL SAVING 4,5% YEAR
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Business or Social IT Human Empowerment
Benefits and Outcomes
Elimination of energy
consumption abnormalities
Forecasting future energy
consumption
Planning of production in order
to get maximum benefit from
renewable energy sources
Social:
Reduction on greenhouse gas
emissions and carbon footprint.
Contribution to SDG’s for the
future generations.
Reduction on global warming
effect
Encourage the energy supplier
to generate renewable energy
sources
Increase awareness of
employees on energy
consumption and encourage
them for good environmental
implementations.
Protect biodiversity and keep
habitats by reducing the effect of
global warming
Communication among systems
becomes easier and
standardized by using SAP
DataHub
Cloud architecture provides
uninterrupted access to reports
at desired details
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Architecture
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Architecture
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Architecture
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Architecture
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SAP technologies used:
Date Number of users
Deployment status
Deployment
If you have used one of the services or support offerings from SAP Digital Business Services during the implementation or
deployment phase, please select with one or more of the following offerings:
SAP MaxAttention™
SAP Value Assurance
SAP ActiveAttention™
SAP Model Company
SAP Advanced Deployment
Others:
X
SAP Innovation Services SAP Innovative Business Solutions
January 2019 90
Live
SAP product
Deployment status
(live or proof of concept [POC]) Contribution to project
1 SAP Data Intelligence Live Data Orchestration pipeline and machine learning and prediction
2 SAP HANA Platform Live In memory data store and processing. PAL Machine Learning.
3 SAP Analytics Cloud Live Reporting
4SAP MII /SAP Plant Connectivity
(SAP PCo)Live
Integration with shop floor, measuring and monitoring of all energy
consumption / Exchange of bidirectional data with equipment
5SAP Intelligence Robotic Process
AutomationPOC Connection with governments official energy statistic.
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The following advanced technologies were part of the project.
Advanced Technologies
Technology or use case Yes or No Contribution to project
1 3D printing
2 Blockchain
3 Internet of Things (IoT) YesWorkcenter and product based actual consumption amount are
calculated by processing the data instantly from the machines.
4 Machine learning or AI Yes
To estimate energy consumption and the ratio of renewable
energy by using Machine Learning technique. Abnormalities are
also detected in machine operations.
5 Conversational AI
6 Robotic process automation YesTransfer of actual energy consumption data published by official
institutions to S4HANA database.
7 Data anonymization
8 Augmented analytics
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Additional Information
Pioneer Video Link;
https://vimeo.com/382645877