2019_march_Leanformazione
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March <strong>2019</strong><br />
LEANFORMAZIONE<br />
The value of data
Dear colleagues,<br />
The digital transformation has been one of the most widely discussed topics over recent<br />
years. In the film Palombella Rossa, Nanni Moretti said “Words are important”, so as<br />
our starting point let’s look at the definition in the Treccani dictionary: “Digitization: the<br />
conversion of analogue information into a digital representation, by means of a device<br />
called digitizer or analogue-digital converter”. What was once a purely technical term has<br />
taken on an almost ideological significance, but what does digitalize a company actually<br />
mean?<br />
People often confuse digitization with automation but the latter actually goes back<br />
hundreds of years and describes a process which was once wholly mechanical and did<br />
not involve digital logic. Digitization, on the other hand, is all about data, information and<br />
how it is made available. We are, therefore, talking about the speed, quantity and easiness<br />
with which data becomes available. And it is here that digitization comes into its own, and<br />
becomes a means for taking decisions and doing that fast. In this we see not only the<br />
importance of technology as a tool for collecting and organising all a company’s data, but<br />
we also appreciate the importance of people, because it is only people who can give real<br />
value to this information. People’s sensitivity and real human skills allow us to get value out<br />
of data and interpret it in such a way as to improve company processes and outcomes.<br />
What’s more, if we remember that digitization also gives us a way of substituting paper,<br />
then we are doing something important for the environment, too!<br />
By making the most of the digital skills and know-how we acquire every day through our
interactions with touchscreens, tablets and smartphones, the digitization of the factory<br />
can be quickly and easily understood by the modern worker … perhaps even ‘enjoyably’.<br />
By way of comparison with previous industrial revolutions we can say that data is the<br />
combustible fuel of the 21st century and data analytics are the engine.<br />
The gathering of production data at Lima started a few years ago and the systems<br />
employed, like the technologies they are based on, are constantly changing. All our<br />
production plant is interconnected and so in the near future we might be mistaken into<br />
thinking that machine operators typing away on their handsets are organising an evening<br />
out with friends when they are actually communicating with the equipment in their charge.<br />
Ilaria Bulfon<br />
Supply Chain Analytics Engineer<br />
Fabio Coccon<br />
Supply Planning Manager<br />
«Without data you're just another person with an<br />
opinion»<br />
(W. Edwards Deming)
LIMA LEAN ENTERPRISE<br />
As we strive to create LIMA LEAN ENTERPRISE, the story of our journey of<br />
restructuring continues with the implementation of the steps towards the<br />
Digital Transformation.<br />
This issue, which refers to the Excellent Supply Chain area, deals with this<br />
topic.<br />
VISION &<br />
COMMITMENT<br />
EXCELLENT<br />
PEOPLE<br />
EXCELLENT<br />
BUSINESS<br />
PROCESS<br />
EXCELLENT<br />
SUPPLY CHAIN
LEANFORMAZIONE<br />
ORGANIZATION OF THE<br />
BROCHURE<br />
Training pill<br />
which introduces step by step a principle or theme linked to one of the<br />
four areas: Vision & Commitment, Excellent People, Excellent Supply<br />
Chain and Excellent Business Process<br />
Pilot project<br />
on which we operationally applied what was explained in the Training<br />
Pill<br />
Recommended reading or film<br />
with reference to the subject being discussed
LEANFORMAZIONE / 7<br />
INDEX<br />
8/ TRAINING PILL<br />
THE SMART FACTORY<br />
12/ PILOT PROJECT<br />
DIGITALISATION AT LIMACORPORATE<br />
16/ RECOMMENDED FILM<br />
CONTACT
TRAINING PILL<br />
THE SMART FACTORY<br />
Industry 4.0 is the name given to the fourth industrial revolution, after those which were<br />
founded on mechanisation, industrialisation and automation. Key elements include<br />
interconnected Cyber-Physical Systems (CPS): smart components (machines, tools,<br />
driverless transport, robots, etc.) all interacting with each other in a network of data<br />
and services which exchange information and monitor themselves. Ever since the 2011<br />
Hannover Fair, the term “Industry 4.0” has been on everyone’s lips: at first it referred<br />
to a research programme but it is now used for supply chain (industrial value chains)<br />
digitisation in general. The whole idea is surprisingly simple: machinery and parts<br />
communicating with each other in a network of embedded computers, sensors and<br />
actuators constitute a so-called CPS. So, the real innovation in Industry 4.0 lies in the<br />
intelligent gathering and analysis of data.<br />
According to one of the most advanced theories of the fourth industrial revolution, this<br />
ability of machines to communicate with each other will, in the near future, mean that<br />
production lines will have an almost self-diagnostic ability to identify and correct errors.<br />
Indeed, in the smart factory machinery can detect the surrounding environmental<br />
conditions, interact with each other and take decisions. Connectivity is the key element
LEANFORMAZIONE / 9<br />
in this revolution and should be viewed as a competitive advantage deriving from the<br />
availability of data, which itself becomes the driver for a company’s strategic decisionmaking.<br />
If a company embraces connectivity, not only as a key technology in Industry<br />
4.0, but as a critical success factor, we can understand the need to introduce IoT-based<br />
solutions (the Internet of Things). Sensors installed in production lines are nothing new,<br />
but what really sets the Internet of Things apart is the fact that these sensors are all<br />
hooked up in a network. In this way, they become “smart”, interact with the outside<br />
world and share data.<br />
IoT optimises production processes, by allowing machines to talk to each other and<br />
by interpreting the data which flows from them to produce predictive analyses of the<br />
way the system is behaving and thereby improve performance. The ready availability of<br />
real-time data from the factory means that we can constantly monitor production and<br />
promptly solve critical issues.<br />
These concepts are expressed well by the semantic difference between digitisation and<br />
digitalisation. Digitisation is the ability to convert analog data to a digital format, which<br />
immediately makes it easy to access, transfer and analyse. Digitalisation, on the other<br />
hand, involves the way in which the data is analysed and helps us to better understand<br />
company processes and how they can be improved.
TRAINING PILL: THE SMART FACTORY<br />
Sensors installed on machines are an example of digitisation: they gather data on the<br />
way the machine is working. Data analytics software, on the other hand, is an example<br />
of digitalisation: it analyses a wide range of data in order, for example, to predict potential<br />
machine malfunctions.<br />
Digitalisation allows us to develop ways of improving and innovating and in turn means<br />
that we can enhance all company processes. This is known as Digital Optimisation.<br />
Digital Transformation, on the other hand, refers to the route taken by the company to<br />
improve its processes, its value proposition and its outcomes as a result of digitalisation.<br />
This might involve, for example, supplying the customer not only with the product, but<br />
also with technologies which make it easier to use.<br />
The digital transformation is not limited only to the internal processes: the next step can<br />
be the integration of suppliers or end customers processes. Industry 4.0 is a wide topic<br />
and includes many disciplines and different ways of implementation.
Steps towards Digital Transformation<br />
LEANFORMAZIONE / 11
PILOT PROJECT<br />
DIGITALISATION AT LIMACORPORATE<br />
On walking through any of our production areas, you are sure to have noticed digital<br />
devices designed to gather and display data relating to production flow.<br />
Most of the CNC machines in our Villanova and Segesta plants are equipped with Totem,<br />
the system which Lima has chosen to enable the digitisation described above. Totem<br />
collects all the main data from the machine (machine uptime and downtime, alarms,<br />
parts produced, etc.) and sends real-time production reports to the MES (Manufacturing<br />
Execution System), better known at Lima as “Nicim”, the software which monitors and<br />
manages production. The operator only has to perform a limited number of operations<br />
which cannot be done automatically, such as starting a new work-cycle or stopping for<br />
maintenance work. It is also possible to automatically load a new machine program for the<br />
item which is going to be worked and it allows the operator to view the updated work plan<br />
for the machine in question.<br />
This automatic collection of machine data provides very precise, real-time information; this<br />
allows the operator, by means of the Totem touch-screen, to have access to data such<br />
as the cycle time for each piece produced, so that he/she can monitor efficiency and spot<br />
any potential problems within the process.
LEANFORMAZIONE / 13<br />
Information which can be accessed on the Totems installed in the CNC department<br />
In departments where the machines cannot be directly interconnected, tablets and<br />
monitors allow operators to generate production progress reports, access all data<br />
regarding a specific work order and see the plan and the sequence of work cycles in the<br />
department.
PILOT PROJECT: DIGITALISATION AT LIMACORPORATE<br />
Information which can be accessed on tablets or monitors<br />
Either way the presence of on-board devices gives operators easy access to all the<br />
information they need. Production data reports are of key importance because they show<br />
exactly where each work order is in the production cycle and allow us to give a precise<br />
estimate of the workload and any backlogs present in the various departments. The Lima<br />
experts who produce and manage the indicators are already working on the development<br />
of analytical software which will make available all the data collected and attempt to<br />
produce specific interpretations according to the varying needs of whoever is trying to get<br />
answers from the data.<br />
On the facing page is shown an example of data analytics which displays production<br />
indicators.
LEANFORMAZIONE / 15<br />
Another important project which is currently in progress is the digitalisation of work orders.<br />
At the moment these are paper-based and follow the tray containing the pieces right<br />
through the production process. In order to digitalise the work orders, we will need:<br />
✓ a software program which collects and analyses the data from quality control<br />
✓ an application which handles the progress and approval of the various phases and<br />
displays the drawings<br />
✓ a program which handles the filing of all the production documents and makes it easy<br />
to access all data regarding traceability.<br />
This year we will already see the implementation of the first prototypes for the digital<br />
compilation of the control plans and the statistical analysis of measurement data.<br />
A paperless system will make the process faster and more streamlined and will always<br />
make the latest versions of the documentation available to the operator.
RECOMMENDED FILM<br />
CONTACT<br />
The film we are recommending for this issue is<br />
Contact by Robert Zemeckis (1997). Scientist Ellie<br />
Arroway discovers a signal from the star system Vega<br />
and is chosen to go into space to make contact with<br />
the extra-terrestrials.<br />
The steps which Ellie takes to decode the alien<br />
messages and to make contact with them can be<br />
applied to data analysis:
LEANFORMAZIONE / 17<br />
The steps are:<br />
✓ be a good listener: first of all collect the relevant data;<br />
✓ eliminate background noise: ignore any irrelevant information from the body of<br />
data collected;<br />
✓ approach the problem from different angles: in order to get full value from the<br />
data, look at the figures from a variety of different angles and viewpoints.
We know that innovation and change can be disconcerting, and digitalisation is certainly<br />
no exception. Adopting it in a production facility can invite criticism. Every day we see<br />
that when models of excellence, like Apple or Google, Amazon or VAR (Video Assistant<br />
Referee), have been introduced, we tend to take these “tech commodities” so much for<br />
granted that we refuse to accept even the slightest malfunction. But, as novelist Madeline<br />
Hunter said....<br />
“Any growth requires a temporary<br />
loss of security”<br />
(Madeline Hunter)
LEANFORMAZIONE / 19
Limacorporate spa<br />
Via Nazionale, 52 - 33038 Villanova di San Daniele - Udine - Italy<br />
Tel.: +39 0432 945511 - Fax: +39 0432 945512<br />
E-mail: info@limacorporate.com<br />
www.limacorporate.com<br />
March <strong>2019</strong>