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Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
AN ENHANCED METHODOLOGY FOR REDUCING TIME CONSUMPTION IN DISCRETE EVENT SIMULATION PROJECTS
PhD Student Thomas GrünbergProduction Division
Posten AB / Woxén CentrumGothenburg, Sweden
PhD Student Björn JohanssonDepartment of Production Engineering
Chalmers University of TechnologyGothenburg, Sweden
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Productivity managementProductivity management
ManufacturingManufacturingPre engineeringPre engineering LogisticsLogistics
3. Measurements
1. Factors
4. Methods/tools
2. Impact
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Analytical solution (eg queuing theory) SIMULATION
Mathematical modelPhysical model
Experiment with a model of the system
Experiment with the actual system
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Contacts
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� Keep one's things in order
� Base for decision support
� Points towards the right direction
� Time saving
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Product lifecycle times
Volume Volume
AB
CD
E
B
C
ATime Time
New products New products
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Parts/time
Capacity
time
Loss of earnings
Demand
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Preparations
Modelling
Analysis
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Setting of objectives and overall project plan
Problem formulation
Model Building Data Collection
Coding
Verified?
Validated?
Experimental design
Production runs and analysis
More runs?
Document program and report results
Implementation
Banks et al, 1996
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Level of detail
Problem definition / Goal
Data collection
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� Clearly specified problem� Time� Delimitations� Consultants� Concrete, specific goals
makes the following steps easier!
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� Specification of parameters
� Setting level of detail� Layout� Input data� Times� Batching� Geometries
� Choosing output data:� Easy to interpret� Easy to control� Easy to affect
45sek645
h782m 763mm
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� The most unconfident data is the weakest link in the model
� Compare distributions with the original data
� Use data in existing form
� Avoid personal assumptions
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Conceptual Model
Verified?
Computer Model
Validated?
No
Yes
No
Yes
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� Simple model.
� Show logical couplings between resources.
� Sketch or outline.
� Discussion base to create understanding of the system and the problem.
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� The simulation model is coded into the computer
� Conceptual model� Input data� Level of detail
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� VERIFICATION � Guarantee the correct behaviour of each element in the model, ensuring that the code is correct
� VALIDATION � The overall behaviour of the model is representative of the real world.
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Simulation runs
Documentation
Conclusions
Continuos improvements Implementation
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Problem formulationSetting of objectives and
overall project plan
Model Building
Data collection
Coding
Verified?
O
O
O
O
Validated?
Experimental design
Production runs and analysis
Document program and report results
Implementation
O
O
O
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Problem formulationSetting of objectives and
overall project plan
Model Building
Data collection
Coding
Verified?
Validated?
Experimental design
Production runs and analysis
Document program and report results
Implementation
O
O
O
O
O
O
O
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
� Feeling of incompletion
� Strive for the optimal system
� Fun to make simulation runs
� Consultants
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Project time scales%
40
20
problem definition
project completion
model building and testing
experimentation
Robinson, 1994
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Preparations
Model
50-80%
Analysis
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
Chalmers University of Technology
Björn Johansson, Dept. of Production Engineering E-Mail: job@pe chalmers se
PhD Student Björn JohanssonDepartment of Production Engineering
Chalmers University of TechnologyGothenburg, Sweden
Email: [email protected]
PhD Student Thomas GrünbergProduction Division
Posten AB / Woxén CentrumGothenburg, Sweden
Email: [email protected]
