Reengineering the Digital Manufacturing Workflow – Application to Wood Buildings Prefabrication

During the early stages of the manufacturing process, Computer-Aided Design (CAD) to Computer-Aided Manufacturing (CAM) transition is very common. Design-to-order companies cannot afford to operate manually the design and planning computer-aided software chain for each new custom product. The core of this research is: why wasting efforts to rediscover “how” to manufacture “what” is often already known at the design stage? The proposed approach removes the dependency to the CAD-to-CAM link and to its mandatory human support. Rather than identifying the manufacturing instructions from a drawing, it relies on generating instructions directly from an input data model, and obtaining drawings by simulation of these instructions.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.068
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Reengineering the Digital Manufacturing Workflow – Application to Wood Buildings Prefabrication

Xavier Zwingmann, Émilie Lachance, Claude-Guy Quimper, Jonathan Gaudreault et al.
IFAC-PapersOnLine
Manufacturing Process and Optimization
article

Reengineering the Digital Manufacturing Workflow – Application to Wood Buildings Prefabrication

Xavier Zwingmann, Émilie Lachance, Claude-Guy Quimper, Jonathan Gaudreault, Maude Beauchemin, Manuel Chastenay
article en

Abstract

During the early stages of the manufacturing process, Computer-Aided Design (CAD) to Computer-Aided Manufacturing (CAM) transition is very common. Design-to-order companies cannot afford to operate manually the design and planning computer-aided software chain for each new custom product. The core of this research is: why wasting efforts to rediscover “how” to manufacture “what” is often already known at the design stage? The proposed approach removes the dependency to the CAD-to-CAM link and to its mandatory human support. Rather than identifying the manufacturing instructions from a drawing, it relies on generating instructions directly from an input data model, and obtaining drawings by simulation of these instructions.

IFAC-PapersOnLineVol. 59(10)
Caribbean Health Research Council (TT), Université Laval (CA)
Openalex Percentile: Top 63%
Manufacturing Process and Optimization
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