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Software used: eM-Plant (Tecnomatix) Treatment of the huge ... Gantt diagram (for each half-cell) Total times of each operation (by assembly, by kit, by group) ... – PowerPoint PPT presentation

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Title: Fr


1
Modelling, Simulation and Optimization of a
Shipbuilding Workshop
  • Frédéric Bair, ANAST (University of Liege),
    Belgium, F.Bair_at_ulg.ac.be
  • Yves Langer, n-Side, Belgium, Yves.Langer_at_ulg.ac.b
    e
  • Philippe Rigo, ANAST (University of Liege),
    Belgium, Ph.Rigo_at_ulg.ac.be

2
  • Summary
  • Welding Shipbuilding Workshop (ALSTOM,
     Chantiers de lAtlantique )
  • Software used eM-Plant (Tecnomatix)
  • Treatment of the huge database (Access)
  • Very detailed model
  • Stochastic
  • Optimization Genetic Algorithm

3
Welding Workshop
4
Side B - Assembly m1 - Assembly m2 -
Assembly m3 - Assembly m4 - Assembly
m5 - - - - - - - -
  • Side A
  • - Assembly 1
  • - Assembly 2
  • - Assembly 3
  • - Assembly 4
  • - Assembly 5
  • -
  • - Assembly n-1
  • - Assembly n
  • -
  • -
  • -
  • -
  • -
  • - Assembly m

Kit j
Kit 1
Group k1
Kit 2
Group 1
Kit j1
Kit i
Group k2
Group 2
Group l
Group k
5
  • Objective minimize production time
  • with following characteristics
  • Assemblies belong to fixed Kit
  • Kits belong to fixed Group
  • Orders of groups fixed
  • Can optimize only position of kits among Groups
  • Sequence optimization
  • Useful for Genetic Algorithm (GA)

6
  • 2 different sequences (functioning)
  • half-workshop sequence ? avoid stack up

Half-Cell 1
Half-Cell 2
Half-Cell 3
7
  • Half-cell sequence ? better to equilibrate both
    sides (saturation of welding robot)

Half-Cell 1
Half-Cell 2
Half-Cell 3
8
Operation Time for each Kit Preparation
Tacking Welding Finishing
9
  • Other possible results of one simulation
  • Occupation Times of welding robots, mechanized
    gripper, crane bridges, workers
  • Gantt diagram (for each half-cell)
  • Total times of each operation (by assembly, by
    kit, by group)
  • Storage Times

10
  • Optimization
  • Genetic Algorithm 1 individual by a given
    sequence
  • Low variance
  • Not necessary to multiply simulations
  • Half-cell sequence better than half-workshop
    sequence

11
Evolution of the population
Gain gt 8 between a random sequence and best
solution
12
  • Conclusion and perspectives
  • Simulation useful even without optimization
  • Optimization development Time lt Modelling
    development Time
  • Not optimal solution but interesting gains
  • Automatic Kits creation
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