Industry Focus Automotive Supply Chain Smart assembly for Mercedes S-Class
The Ubisense Smart Factory System solution for automotive assembly lines, based on its six-sigma Real Time Location System, has achieved the pilot acceptance milestone in Daimler’s project to equip the assembly line for the Mercedes S-Class premium cars in Germany
the particular vehicle at the station. In addition, the exact location of each vehicle is tracked continuously and matched to the vehicle ID which is then supplied to external worker assis- tance systems as the vehicle arrives at each station. This is particularly useful on line segments where tradi- tional vehicle sensing technologies are not available.
Time savings
The use of the Ubisense Smart Factory System will result in a significant reduction in unproductive assembly time, as well as the elimination of many errors that can occur in manual operations such as scanning. The Smart Factory System is inte- grated with the car manufacturer’s PLUS manufacturing execution system and with the DC tools via the Atlas Copco Open Protocol. The final solution will also control other devices and the tools of several other vendors. Ubisense is implementing the solution together with Atlas Copco following the strategic part- nership which the two companies launched in 2009.
bisense was awarded the con- tract to equip the S-Class assembly line in the Sindelfingen plant following an extensive proof of concept at the customer’s plant in Rastatt. The pro- ject was divided into two phases - firstly, the pilot phase covered two line segments and the associated DC tools provided the means to integrate
U
aplesoft’s ongoing partnership with Toyota Motor Engineering & Manufacturing North America has been expanded. The car manufacturer will now use new symbolic computation methods in robust control design, with a strong focus on methods for linear, non-linear and parametric systems. The main goal of the new Symbolic Control project is ground breaking research that leads to the implementation of symbolic design and analysis methods for lin- ear, non-linear and parametric robust control. The new research will allow develop- ers to consider system non-linearities, modelling inaccuracies and parametric uncertainties in the design process. As a result Toyota expects to shorten develop- ment time while maintaining high quality results. This new project follows the completion of another successful Maplesoft pro-
M
ject for Toyota which saw high end research and implementation of new methods for model simplification and preprocessing of high level acausal dynamical mod- els. Simplification enables the conversion of high level descriptive models into smaller executable models for faster execution and provides for better analysis, higher efficiency and more accurate simulation. Model simplification allows engi- neers to focus on describing the physical properties of the system in an equation- based manner. It also makes use of the power of mathematical equations to better
Automation JUNE 2013
and test the solution. The system will now be installed at the remain- ing stations and all the DC tools will be integrated.
The Ubisense Smart Factory System automates the recognition of tool/vehi- cle interactions on the production line, eliminating the need to scan vehi- cle ID numbers and ensuring that the correct tool program is being used for
Above: Ubisense’s lean manufacturing Real Time Location Systems (RTLS) eliminates waste and drives up quality levels by providing 3D location visibility
Richard Green, Ubisense CEO, added, “We are delighted to be work- ing with Daimler and Atlas Copco, both renowned for the high quality of their products and their manufactur- ing excellence. We look forward to supporting our customers in achieving their ambitious manufacturing goals over the years to come.”
Ubisense
www.ubisense.net T: 01223 535 170
Toyota to use symbolic computation methods
manage models, so engineers obtain the optimal results faster. Using the results of the Model Simplification project as a foundation, the Symbolic
Control project will involve research on analysing, designing and simplifying controller models in isolation, as well as in system models. This work will support the control design process by speeding up test and simulation times in the lab environment and ensuring optimal behaviour in the final product. Modelica model import and export, as well as automated model assembly for easy and faster control design processes, are the pro- ject’s other goals. The Maplesoft prod-
uct range is supplied and supported by Adept Scientific in the UK, Ireland, Scandinavia and the Nordic countries. Adept Scientific
www.adeptscience.co.uk T: 01462 480 055 Enter 205
15
Enter 204
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56