An Open Source Framework for the Storage and Reuse of Industrial Knowledge Through the Integration of PLM and MES

• Autorzy: Giulia Bruno , Alberto Faveto , Emiliano Traini
• Języki publikacji: EN

Abstrakty

EN

Today, the changes in market requirements and the technological advancements are influenc-ing the product development process. Customers demand a product of high quality and fastdelivery at a low price, while simultaneously expecting that the product meet their individualneeds and requirements. For companies characterized by a highly customized production, itis essential to reduce the trial-and-errors cycles to design new products and process. In suchsituation most of the company's knowledge relies on the lessons learnt by operators in yearsof work experience, and their ability to reuse this knowledge to face new problems. In orderto develop unique product and complex processes in short time, it is mandatory to reusethe acquired information in the most efficient way. Several commercial software applicationsare already available for product lifecycle management (PLM) and manufacturing executionsystem (MES). However, these two applications are scarcely integrated, thus preventing anefficient and pervasive collection of data and the consequent creation of useful information.The aim of this paper is to develop a framework able to structure and relate informationfrom design and execution of processes, especially the ones related to anomalies and criticalsituations occurring at the shop floor, in order to reduce the time for finalizing a new prod-uct. The framework has been developed by exploiting open source systems, such as ARASPLM and PostgreSQL. A case study has been developed for a car prototyping company toillustrate the potentiality of the proposed solution.(original abstract)

Słowa kluczowe

EN

Industry 4.0; Knowledge management; SQL Programming Language

PL

Przemysł 4.0; Zarządzanie wiedzą; Język programowania SQL

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2020
• Tom: 11
• Numer: nr 2
• Strony: 62--73

Twórcy

autor

Giulia Bruno

• Politecnico di Torino, Italy

autor

Alberto Faveto

• Politecnico di Torino, Italy

autor

Emiliano Traini

• Politecnico di Torino, Italy

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Identyfikatory

DOI

0.24425/mper.2020.133729