A METHOD FOR PLACING ORDERS FOR CUSTOMIZED PRODUCTS IN A FLEXIBLE TESTBED PRODUCTION SYSTEM

This work proposes a method to organize the production of customizedproducts in a flexible assembly line, from product definition to delivery, allowing thecustomer to monitor the process. The suggested architecture aligns productcomposition with production processes on the factory floor. The implementation utilizesa Multi-Agent System-based approach, detailing its components and requirements.Validation was carried out in the production of pneumatic cylinders in a pilot Industry4.0 manufacturing plant, confirming the method's effectiveness in managing theflexible assembly line. The results demonstrated its ability to optimize production andmeet customer demands, offering insights for future improvements and application in broader industrial contexts.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.5151/siintec2024-393453
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

A METHOD FOR PLACING ORDERS FOR CUSTOMIZED PRODUCTS IN A FLEXIBLE TESTBED PRODUCTION SYSTEM

Jhaidan Ribeiro Cruz, Herman Augusto Lepikson, Elisabete Guedes Conceição
Manufacturing Process and Optimization
article

A METHOD FOR PLACING ORDERS FOR CUSTOMIZED PRODUCTS IN A FLEXIBLE TESTBED PRODUCTION SYSTEM

Jhaidan Ribeiro Cruz, Herman Augusto Lepikson, Elisabete Guedes Conceição
article en

Abstract

This work proposes a method to organize the production of customizedproducts in a flexible assembly line, from product definition to delivery, allowing thecustomer to monitor the process. The suggested architecture aligns productcomposition with production processes on the factory floor. The implementation utilizesa Multi-Agent System-based approach, detailing its components and requirements.Validation was carried out in the production of pneumatic cylinders in a pilot Industry4.0 manufacturing plant, confirming the method's effectiveness in managing theflexible assembly line. The results demonstrated its ability to optimize production andmeet customer demands, offering insights for future improvements and application in broader industrial contexts.

Openalex Percentile: Top 61%
Manufacturing Process and Optimization
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