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ema Plant Designer Dr. Andreas Opitz, Gregor Hübsch part of the ema product family and tool for planning of production and material flow (imk automotive GmbH – Chemnitz) Plant Designer
ema Plant Designer
Dr. Andreas Opitz, Gregor Hübsch
part of the ema product family and tool for planning of production and material flow
(imk automotive GmbH – Chemnitz)
Plant Designer
Folie: 2 www.imk-automotive.de November 2019
overview product family
ema Software Suite
Plant Designer
Work Designer
material flows lead times manufacturing costs utilization space requirement
3D layout planning workplace design production times ergonomics visualization
macro level
micro level
Folie: 3 www.imk-automotive.de November 2019
ema Plant Designer – the tool for planning of production and material flow – gives answers
ema Plant Designer typical questions
Where can material flow
costs be reduced?
What is the critical path?
How high are the lead times?
Can the planned
quantities be achieved?
Where are buffer
positions needed? How
many?
How is the utilization of
my resources?
Where is the bottleneck?
What space is required for the staging areas?
Which manufacturing
costs are incurred?
Folie: 4 www.imk-automotive.de November 2019
input / output
ema Plant Designer
- product data (bill of materials, planned quantities, batch sizes etc.)
- process data (work schedules and container data)
- resource data (names, number, availabilities, costs, areas, shift models etc.)
Which data is processed? Which results are generated?
- utilization of workstations and bottleneck analysis
- manufacturing costs per item / product family
- lead times and critical paths
- required buffer positions and their utilization
- manufacturing space areas
- material flows (intensity / effort)
- …
Folie: 5 www.imk-automotive.de November 2019
Comparison of methods / tools for the macro level Value Stream Mapping
dynamic key figures:
method knowledge know-how:
very low modeling effort:
Value Stream Mapping: - paper-based mapping of a system in order to be able to derive statements on system behavior using defined
symbols - the system will be optimized based on static key figures (e.g. reduce lead times)
W
W
W
W
level of accuracy: high accuracy
Conclusion: - good cost / benefit ratio for low investment projects (e.g. optimization projects)
W
static
low accuracy
expert knowledge
very high
Folie: 6 www.imk-automotive.de November 2019
Comparison of methods / tools for the macro level Material Flow Simulation
S key figures:
S level of accuracy:
S know-how:
S modeling effort:
Conclusion: - good cost / benefit ratio for high investment projects (e.g. new planned projects)
Material Flow Simulation: - computer-aided mapping of a system in order to be able to derive statements on system behavior using
experiments (e.g. road traffic, manufacturing system) - the system will be optimized based on static and dynamic key figures
S
W
W
static
low accuracy
expert knowledge
very high
dynamic
method knowledge
very low
high accuracy
W
W
Folie: 7 www.imk-automotive.de November 2019
Comparison of methods / tools for the macro level Plant Designer
P key figures:
know-how:
modeling effort:
Plant Designer: - computer-aided mapping of the production in order to be able to derive statements on system behavior
using mathematical calculation methods - the system will be optimized based on static and dynamic key figures (e.g. buffer positions)
W
W P
P
P
level of accuracy:
Conclusion: - very good cost / benefit ratio when mapping the entire system in the ema Plant Designer and individual
workstations in detail with simulation (new planned projects) - very good cost / benefit ratio for support in value stream projects (optimization projects)
P
static
low accuracy
expert knowledge
very high
dynamic
method knowledge
very low
high accuracy
W
W
S
S
S
S
Folie: 8 www.imk-automotive.de November 2019
ema Plant Designer offers the best from the worlds of material flow simulation and value stream through the mathematical modeling of dynamic systems with analytical methods
ema Plant Designer USP
ema Plant Designer
value stream
simula-tion
expert knowledge
low accuracy
-99% computing
time
-90% cost of
modeling
time
criteria
simulation method
knowledge
high accuracy
innovationen methoden konzepte
Kontakt Dr. Andreas Opitz Teamleiter Fabrik- und Logistikplanung Fon: +49 (0)371 400 97 218 [email protected] www.imk-automotive.de
Gregor Hübsch Vertriebsbeauftragter Fon: +49 (0)371 400 97 919 [email protected] www.imk-automotive.de
