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logologologo
  • Case Studies
  • Expertise
  • Sectors
  • Software
  • Events
  • References
  • Contact
  • ES
logologologo
  • Case Studies
  • Expertise
  • Sectors
  • Software
  • Events
  • References
  • Contact
  • ES
logologologo
  • Case Studies
  • Expertise
  • Sectors
  • Software
  • Events
  • References
  • Contact
  • ES
  • Case Studies
  • Expertise
  • Sectors
  • Software
  • Events
  • References
  • Contact
  • ES

OPTIMAL PRODUCTION SEQUENCE AND DYNAMIC ALLOCATION OF RESOURCES IN A PRODUCTION LINE

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medical Software Simulation - Mitico groupe

Goals

Improvement of the production sequence and sizing of the available resources.

medical Software Simulation - Mitico groupe

Sector

Automotive

Results sucessful - Simulation Factory - Mitico Groupe

Results

Increase the resources utilization levels. Reduction of the total production time. Improvement of the line flow. Reduction of the number of extra resources necessary.

Development

The model’s development starts with the creation of the 3D environment from the layout and its working logic: routings, setup, extra operators, etc. Several departments of the company have intervened in this process, both for providing information and for its validation.

Analysis & Results

The magnitude of possible scenarios and the links between objects make a manual resolution impossible, which is why the use of the Optimizer has been proposed. This tool studies the different “What If” scenarios automatically and intelligently and in a few seconds it provides  a solution capable of satisfying our objectives based on the parameters established thanks to genetic algorithms

Case study Intralogistic Simulation optimization process

Background

A company in the automotive sector grew a need to find a tool that allowed to analyze and improve the way their production line was organised. That way, they proposed to develop a project to study the production line building a FlexSim simulation model that allows the company staff to daily resize their resources and obtain the optimal production sequence depending on the demand automatically.

Conclusions

The optimizer tool makes it possible to quickly and easily solve a complex daily problem like the one studied in this case: task sequencing and resource sizing. The results allow to, on one hand, reduce the total production time by 10.9% by changing only the sequence and, on the other hand, maintaining the initial production time, reduce the extra operators needed from 9 to 5.

Sucessful Case

How to sequence daily performed activities in a production line? How to size and assign the extra available resources?

intralogistic Simulation process

Simulation of line

Production

FlexSim logo - Simulation Software - Mitico Groupe

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DO YOU HAVE A PROBLEM FOR US TO SOLVE?

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Contact

We are a consulting firm specialized in process optimization. We do so by combining years of experince with cutting edge technology. Manufacturing, Logistics, Scheduling and Business Processes are our greatest strenghts

Europe

Rosselló, 233, 5th Floor
08008 Barcelona
Spain
+34 932 20 20 45
europe@grupomitico.com

North America

30 N Gould St, STE R, WY
82801
USA
+1 307 2180331
mna@grupomitico.com

Middle East

28th Floor Control Tower
MotorCity, Dubai
UAE
+971 52 376 2496
mena@grupomitico.com

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