Skip to main content

LUP Student Papers

LUND UNIVERSITY LIBRARIES

Digitalization and Optimization of a Production Flow

Mora Carrión, Sergio (2021)
Department of Automatic Control
Abstract
Digital twins are a very essential tool widely used by manufacturing companies nowadays. The scope of this project is to build a digital model of a real production flow present in SWEP’s factory in Landskrona. The chosen software to accomplish the project is Tecnomatix Plant Simulation. Each module is constructed with real cycle times, OEE figures, velocities, and changeover times corresponding to the heat exchangers that are processed. Moreover, changes in the raw materials, tools, and orders are taken into consideration. To obtain a realistic behavior, real production orders are the input for the digital model. The simulation model can calculate different production parameters such as throughput times, waiting times, utilisations, or... (More)
Digital twins are a very essential tool widely used by manufacturing companies nowadays. The scope of this project is to build a digital model of a real production flow present in SWEP’s factory in Landskrona. The chosen software to accomplish the project is Tecnomatix Plant Simulation. Each module is constructed with real cycle times, OEE figures, velocities, and changeover times corresponding to the heat exchangers that are processed. Moreover, changes in the raw materials, tools, and orders are taken into consideration. To obtain a realistic behavior, real production orders are the input for the digital model. The simulation model can calculate different production parameters such as throughput times, waiting times, utilisations, or bottlenecks, among others. This digital model is also used to optimize the performance of the manufacturing process by changing the sequence of the processed jobs and it is utilized to explore potential improvements of its real twin. This is performed using advanced tools such as Genetic Algorithms or multi-level experiments. Finally, changes in the production flow are carried out to explore potential improvements in the mentioned facility’s productivity, flexibility, and robustness. Some of the experiments show substantial productivity improvements and will be evaluated economically. (Less)
Please use this url to cite or link to this publication:
author
Mora Carrión, Sergio
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
report number
TFRT-6144
other publication id
0280-5316
language
English
id
9069058
date added to LUP
2021-12-14 08:30:27
date last changed
2021-12-14 08:30:27
@misc{9069058,
  abstract     = {{Digital twins are a very essential tool widely used by manufacturing companies nowadays. The scope of this project is to build a digital model of a real production flow present in SWEP’s factory in Landskrona. The chosen software to accomplish the project is Tecnomatix Plant Simulation. Each module is constructed with real cycle times, OEE figures, velocities, and changeover times corresponding to the heat exchangers that are processed. Moreover, changes in the raw materials, tools, and orders are taken into consideration. To obtain a realistic behavior, real production orders are the input for the digital model. The simulation model can calculate different production parameters such as throughput times, waiting times, utilisations, or bottlenecks, among others. This digital model is also used to optimize the performance of the manufacturing process by changing the sequence of the processed jobs and it is utilized to explore potential improvements of its real twin. This is performed using advanced tools such as Genetic Algorithms or multi-level experiments. Finally, changes in the production flow are carried out to explore potential improvements in the mentioned facility’s productivity, flexibility, and robustness. Some of the experiments show substantial productivity improvements and will be evaluated economically.}},
  author       = {{Mora Carrión, Sergio}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Digitalization and Optimization of a Production Flow}},
  year         = {{2021}},
}