IoT for Manufacturing Supply Chain Logistic, Predictive Maintenance and More

IoT for Manufacturing :
Supply Chain Logistics,
Predictive Maintenance
and More
Presented By :
Mailani Puspita 122011910035
Putri Meisya 122011910045
Rani Mahita Aji 122011910048
MM Operation and Supply Chain Management
Pascasarjana Fakultas Eknomi dan Bisnis
Universitas Trisakti
Tahun 2021
Supervised By :
Dadang Surjasa
Dedy Sugiarto

Outline
IOT in
Manufacturing
Company 01
Convergio
01
02
03
04
Company 02
Hitachi
05
06
07
08
Company 05
Adlink
Company 06
PTC
Company 04
MESA
Company 03
ABI
Research
08
Edge Implementation
of Network
09
10
Reference
Smart
Construction

An IoT ecosystem consists of web-
enabled smart devices that use
embedded systems, such as
processors, sensors and
communication hardware, to
collect, send and act on data they
acquire from their environments
How IoT Works
The internet of things, or IoT, is a system of
interrelated computing devices, mechanical
and digital machines, objects, animals or
people that are provided with unique
identifiers (UIDs) and the ability to transfer
data over a network without requiring
human-to-human or human-to-computer
interaction
IoT
https://internetofthingsagenda.techtarget.com/definition/Internet-of-Things-IoT

https://www.youtube.com/watch?v=fVT9Tjcii8k

Gold margin
was low
(7,1%)
Cash/Net
Debt ratio
was low
(7,5%)
Gold
Recovery
was low
(74,6%)
Period Des 15
Au Recovery (%) 74,6
Au Production (oz) 9,432
AISC (%/oz) 1,348
EBITDA ($m) 3,38
Cash ($m) 9,36
https://resources.osisoft.com/pi-system/case-studies-and-testimonials/all-case-studies/aureliametalsemea2017story/

Maret 2016
• Tune communication &
Identity
• Install PI
• Install Assure
August 2016
• Flotation Tuning OSA
into PI
• Additional PI
• Install Infinitum (Loop
tuning analystics)
June 2016
• Replace communication loop
code
• Tune communication loops
December 2016
• Filter Press
Optimization
Q 1 Q 2 Q 3 Q 4

Period Des 15 Mar 16 Jun 16 Sep 16 Dec 16
AISC (%/oz) 1,348 1,153 1,043 1,238 821
EBITDA ($m) 3,38 10,9 13,7 8 13,2
Cash ($m) 9,36 14,79 21,6 22,1 21,4

Hitachi’s Journey Smart Manufacturing
Hitachi. (2018). Industry Raises Its IQ: The Journey to Smart Manufacturing. Retrieved from https://www.hitachivantara.com/en-
us/pdf/hcc/point-of-view/industry-raises-its-iq.pdf?source=hcc-redirect

Hitachi. (2018) Services & Platforms : Services & Platforms.
Retrieved from https://www.hitachi.com/rev/archive/2018/r2018_03/16/index.html

Co-creation, as a service from
Hitachi Vantara. The solution helps
Okuma reduce cycle time, improve
OEE and avoid unexpected
production delays.
Hitachi. (October 2017) Case studies: How a Japanese company is driving toward a future of factories that combine Skilled techniques and automation to deliver the best
manufacturing services. Retrivied from https://social-innovation.hitachi/en/case_studies/okuma/

Enable companies to grasp the internal situation of overseas
factories through cameras, RFIDs (electronic tags), and various
sensors which are installed at the work site. Such data is then
shared via the cloud and kept track of by managers and
technicians at parent factories in Japan in virtually real time.
Hitachi. (8 July 2020). Factories Are Trending Toward Remote Work Amid COVID-19: Expectations for Smart Factories of the Future. Retrieved from https://social-
innovation.hitachi/en/case_studies/smart-factory

Source: Hitachi Technology 2017
Hitachi & Daicel Corporation has
developed an Image Analysis System that
quantifies the standard behavior model of
worker, the status of equipment and materials,
and anomalies.
Hitachi. (2017). Image Analysis System Using Cameras to Detect Deviations in Worker Activities and Signs of Failures in Production Line.
Retrieved from https://www.hitachi.com/rev/archive/2017/r2017_04/eC_EDGE_2/index.html?WT.mc_id=ksearch

“We're a market insights firm provide
strategic guidance around transformative
technologies and and I focus on smart
manufacturing in particular”

https://www.abiresearch.com/pages/about-abi-research/

define smart manufacturing platforms as
the software that collects data from assets
on the factory floor when we're talking
about the factory for that obviously
involves a lot of protocol translation and
adaptation so that's one piece we looked
at and these in these platforms and they
deliver that data to applications at the
edge or in the cloud or any layer of the IT
ot stack from the control systems to the
enterprise software or the or the cloud like
I said we only included those platforms
with external customers

“can see our methodology here so we used the used the root-mean-square
method to score and rank the the platforms and you can see our two main criteria
where innovation and implementation and under those you can see the
technologies we looked at

“our vendor matrix so we had 11 platforms that we ranked and we divided them into leaders followers and
one laggard based on those criteria in the previous slide so we named PTC our overall leader the this is due
to outstanding scores in augmented reality mixed reality with euphoria protocol adaptivity at adaptability and
connectivity with kept where and and their other platforms and digital twins so their combination of
technologies on thing work so they were the overall leader and innovation and and and in that root mean
square method for overall

so we focus on their manufacturing needs IT I'm sure every one of you here is familiar with the IT and the OT
convergence and what's happening in that space mesas goal is really to build bridges of understanding from
the planted enterprise and what that means is basically we work with we build a platform or a foundation for
employees and manufacturers to get know-hows knowledge training and points of views that they can use and
they can get more value out of their enterprise systems by effective leverage and training and knowledge

“three basic mechanisms may surprise appear to peer sessions we also provide point
of view sessions and there's a rich and robust Lowell education program where people
can learn about various techniques and manufacturing found in the manufacturing
things like how do you get started smart manufacturing concepts like that

Mesa point of view what we are seeing as the
current state of manufacturing and as many of you
recognize you know industrial IOT or you know the
concept are on a IML vision systems they're all
part of a board or broader context or I was going
on with manufacturers today

“Mesa point of view we're seeing that the cloud adoption the manufacturers lag today
when we say lag what's what's really it means if you look at the industries like CRM or
or the ERP industries you see that most companies are now talking about coming in
the cloud being in the cloud and not consideration for an on-premise solution for a
manufacturer doesn't even exist

“We see developments happening pretty significant from a manufacturing and I
industrial IOT point of view obviously big data analytics is a big space that's a little bit
what I would consider entering into the more mature area now

Adlink Profile
A Leading Provider of Trusted Embedded Products
World-class provider of Industrial Building Blocks (IBB) and Industrial
Application Platforms (IAP) for embedded computing, measurement
and automation applications Vision
Area Team Size
HQ 401
China 157
USA 70
SG & INA 16
KO & JP 15
Europe 3
Market & Customer
Location
https://slideplayer.com/slide/8610623/

Smart Manufacturing Solution for Industries
https://www.adlinktech.com/en/Smart_Manufacturing

Smart Manufacturing
Why edge IoT, why edge compute?

What Adlink does

Connecting the Unconnected
a foundation for smart manufacturing

• Global software company, $1B+
Revenue
• Design, Manufacture, Operate, and
Service “Things”
• Leading Industrial Innovation
Platform and Solutions
• Global Network of 400K+
Developers and 1K+ Partner
https://www.slideshare.net/ptc/ptc-corporate-overview-2018-87683513 https://www.ptc.com

PTC Position in Market
Gartner Magic Quadrant IDC MarketScape Worlwide ABI Research

The Big 4
Additive manufacturing
Radically transforms
engineering, manufacturing
and supply chain processes
Digital technology Platforms
Enable innovation exponentially
faster with 1/10th cost
Industrial IoT and analytics
Drive IT/OT convergence
across the value chain and
increases automation and
productivity up to 25%
Augmented Reality
Makes human labor 30-50%
more efficient
1
2
3
4
Factory of
the future

https://www.comparethecloud.net/news/ptc-and-bosch-software-innovations-announce-alliance-to-deliver-industrial-iot-solutions/

IIoT Manufacturing Use Cases

07
Edge implementation
on internet network

Edge on internet network -> Content data network
(CDN)
In conventional network, people closer to the
content will have good experience while people
on far site is not
By edge system, data is cached in nearest server
around the world. Everyone will have good experience
to access the content
Is a CDN the same as a web host?
CDN does not host content, it does help cache content
What are the benefits of using a CDN?
• Improving website load times
• Reducing bandwidth costs
• Increasing content availability and redundancy
Provider using CDN system:
Google Akamai
Facebook Netflix
https://www.youtube.com/watch?v=52VSbXBlfdc

https://www.youtube.com/watch?v=3FHdqkcN4tA

On Time Project
Delivery
Total Safety
Project Completion
within budget
Top Priority

Reference
Hitachi. (2018). Industry Raises Its IQ: The Journey to Smart Manufacturing. Retrieved from https://www.hitachivantara.com/en-
us/pdf/hcc/point-of-view/industry-raises-its-iq.pdf?source=hcc-redirect
Hitachi. (2018) Services & Platforms : Services & Platforms. Retrieved from
https://www.hitachi.com/rev/archive/2018/r2018_03/16/index.html
Hitachi. (October 2017) Case studies: How a Japanese company is driving toward a future of factories that combine Skilled
techniques and automation to deliver the best manufacturing services. Retrivied from
https://socialinnovation.hitachi/en/case_studies/okuma/
Hitachi. (8 July 2020). Factories Are Trending Toward Remote Work Amid COVID-19: Expectations for Smart Factories of the Future.
Retrieved from https://social-innovation.hitachi/en/case_studies/smart-factory
Hitachi. (2017). Image Analysis System Using Cameras to Detect Deviations in Worker Activities and Signs of Failures in Production
Line. Retrieved from https://www.hitachi.com/rev/archive/2017/r2017_04/eC_EDGE_2/index.html?WT.mc_id=ksearch
https://www.abiresearch.com/pages/about-abi-research/
https://mesa.org/
https://www.comparethecloud.net/news/ptc-and-bosch-software-innovations-announce-alliance-to-deliver-industrial-iot-solutions/
https://www.adlinktech.com/en/Smart_Manufacturing
https://ptc.com/
https://www.slideshare.net/ptc/ptc-corporate-overview-2018-87683513
https://slideplayer.com/slide/8610623/
https://slidesgo.com/

Thank You
Do you have any questions?

IoT for Manufacturing Supply Chain Logistic, Predictive Maintenance and More

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