Corporate Technology - Rolf Hellinger
Corporate Technology - Rolf Hellinger
Corporate Technology - Rolf Hellinger
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Production Processes<br />
The Production Processes (PP) team is a valuable partner for<br />
planners in Siemens’ Business Sectors. Using advanced simulation<br />
systems, the team’s approximately 150 experts design and optimize<br />
entire process chains and their associated factories, help to reduce<br />
technical and financial risks, and fine tune remote maintenance<br />
tools with a view to minimizing costs.<br />
Perfecting Factories<br />
before they Exist<br />
When it comes to planning factories, nothing<br />
is more important than getting production<br />
lines up and running in the shortest possible<br />
time. But avoiding errors before ground is broken<br />
is also essential. That includes ensuring that<br />
everything from workstations to production lines<br />
is designed as ergonomically as possible, and<br />
that all processes are set up in a manner that ensures<br />
optimized throughput. Although this may<br />
sound like a tall order, it’s exactly what the Production<br />
Processes (PP) Division specializes in. PP<br />
is the place where factories are born as 3D simulations.<br />
Here, virtual components are carried<br />
down simulated assembly lines in near real time,<br />
with animated human figures or robots working<br />
on them along the way. Such simulations make it<br />
possible to discover errors — such as a robot arm<br />
that’s too large to be used at a particular workstation<br />
— before they can cause real-world problems.<br />
Siemens experts have been working with digital<br />
factories for around twenty years. The true<br />
art of their virtual planning activities involves being<br />
able to determine which parts of a simulation<br />
actually require detailed data. For example, a material<br />
flow simulation can do without it; but a<br />
complex assembly simulation cannot. The Production<br />
Processes Division uses objects from a<br />
digital library to the greatest extent possible. The<br />
particular talent of the Division’s specialists lies in<br />
their ability to come up with the best solution for<br />
each application, in some cases utilizing their<br />
own user interfaces. Experts at PP also write their<br />
own simulation programs if no solution for a particular<br />
problem is available.<br />
14 <strong>Corporate</strong> <strong>Technology</strong><br />
It was such a situation, in fact, that led the Division<br />
to design — in cooperation with the Technical<br />
University of Munich — the PlantCalc planning<br />
tool that compares production locations in<br />
order to analyze their profitability. Use of this<br />
technique at a Siemens manufacturing location<br />
in northern Germany made it possible to show<br />
the facility’s managers that under certain conditions<br />
expansion of production in Germany would<br />
make more economic sense than transferring<br />
production to Eastern Europe. Here it was discovered<br />
that the optimization possibilities offered by<br />
the facility made it the best option, despite the<br />
higher wages paid in Germany.<br />
Optimized planning doesn’t guarantee perfect<br />
implementation, however, as steps need to<br />
be taken to ensure harmonized interaction between<br />
hardware and software, between mechanical,<br />
electronic, and information technology,<br />
and between developers, procurement specialists,<br />
and plant construction firms. In other words,<br />
the complete solution, which often consists of<br />
technologies from different Siemens divisions<br />
and external suppliers, must be brought together,<br />
installed, and put into operation in accordance<br />
with a tight schedule. The financial risk<br />
here increases with the complexity of the project,<br />
which can involve anything from a power plant<br />
to a factory or a subway line.<br />
Production Processes has developed a<br />
method known as Siemens Risk Analysis (sira)<br />
that minimizes such risks by identifying them at<br />
an early stage. sira provides a graphic depiction<br />
of risk probability in the form of symbols such as<br />
spheres whose color, size, and position represent<br />
the chances of a particular risk in combination<br />
with its potential financial effects and the level of<br />
risk consciousness in the project team. This socalled<br />
sira.iris summarizes the complete project<br />
risk situation in just one image. To date, PP researchers<br />
have used sira to generate 110 risk<br />
analyses. One of these was carried out for the<br />
subway system in Oslo, Norway, where a new<br />
brake developed by Siemens has been used for<br />
the first time. The situation was a textbook example<br />
of risk analysis with major consequences<br />
if, for example, a need for additional testing had<br />
resulted in delayed delivery of the component.<br />
CT’s risk analysts also enjoy an outstanding reputation<br />
among power plant construction companies<br />
where they are routinely called in to examine<br />
projects above a certain size and level of<br />
technical complexity with sira.<br />
80<br />
60<br />
40<br />
20<br />
New Tool Quantifies Risk<br />
100<br />
% Probability<br />
0<br />
€1<br />
thousand<br />
€10<br />
thousand<br />
€100<br />
thousand<br />
● Low ● Medium ● High risk<br />
€1<br />
million<br />
€10<br />
million<br />
€100<br />
million<br />
Qualitative risk