Manufacturers often struggle to determine the appropriate processes, machines, and procedures when developing a new product, especially without extensive technical expertise. While knowledge graphs (KGs) help structure and access domain-specific information, existing solutions lack commonsense reasoning to support intuitive and explainable decision-making. This demo presents MACS-KG, a KG designed to assist manufacturers in identifying the right manufacturing processes for a product, selecting suitable machines, and following standardized procedures. By integrating Manufacturing Commonsense Knowledge (MCSK) rules, MACS-KG enables reasoning and explainable decision-making, ensuring that manufacturers access relevant information and understand the rationale behind each recommendation derived using MCSK.

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MACS-KG: MAnufacturing CommonSense Knowledge Graph

  • Muhammad Raza Naqvi,
  • Arkopaul Sarkar,
  • Farhad Ameri,
  • Linda Elmhadhbi,
  • Mohamed Hedi Karray

摘要

Manufacturers often struggle to determine the appropriate processes, machines, and procedures when developing a new product, especially without extensive technical expertise. While knowledge graphs (KGs) help structure and access domain-specific information, existing solutions lack commonsense reasoning to support intuitive and explainable decision-making. This demo presents MACS-KG, a KG designed to assist manufacturers in identifying the right manufacturing processes for a product, selecting suitable machines, and following standardized procedures. By integrating Manufacturing Commonsense Knowledge (MCSK) rules, MACS-KG enables reasoning and explainable decision-making, ensuring that manufacturers access relevant information and understand the rationale behind each recommendation derived using MCSK.