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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

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