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Data Digitization in Manufacturing Factory Using Palantir Foundry Solution.

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Bibliographic Details
Title: Data Digitization in Manufacturing Factory Using Palantir Foundry Solution.
Authors: Krajný, Peter, Janeková, Jaroslava, Fabianová, Jana
Source: Processes; Dec2024, Vol. 12 Issue 12, p2816, 18p
Subject Terms: MANUFACTURING processes, AUTOMOBILE industry, MANUFACTURING industries, INTERNATIONAL business enterprises, DIGITIZATION
Abstract: This research describes an online solution for the collection and processing of production data, which are gathered from manufacturing and assembly processes at automotive companies. The solution describes the process for live monitoring of the production health and then evaluation through reports, with the option to generate reports for up to six months. Since the data are located in multiple sources, it is challenging to monitor them live or generate reports on demand. The solution described in this research outlines applications that simplify users' tasks and provide immediate insights into the processes and health of production lines. Research will be divided into three applications which are delivered in one package, which is called Cycle Time Deviation (CTD): (i) workshop application for live monitoring; (ii) for evaluating data older than 24 h, the shift report application; and (iii) for comparing and monitoring the impact of process changes on the analysis, the before and after application—the Plant Improvement Tracker (PIT)—will be presented. The aim of the research is to describe the proposed solution that was implemented in a multinational automotive corporation and to outline the benefits gained from the implementation. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:This research describes an online solution for the collection and processing of production data, which are gathered from manufacturing and assembly processes at automotive companies. The solution describes the process for live monitoring of the production health and then evaluation through reports, with the option to generate reports for up to six months. Since the data are located in multiple sources, it is challenging to monitor them live or generate reports on demand. The solution described in this research outlines applications that simplify users' tasks and provide immediate insights into the processes and health of production lines. Research will be divided into three applications which are delivered in one package, which is called Cycle Time Deviation (CTD): (i) workshop application for live monitoring; (ii) for evaluating data older than 24 h, the shift report application; and (iii) for comparing and monitoring the impact of process changes on the analysis, the before and after application—the Plant Improvement Tracker (PIT)—will be presented. The aim of the research is to describe the proposed solution that was implemented in a multinational automotive corporation and to outline the benefits gained from the implementation. [ABSTRACT FROM AUTHOR]
ISSN:22279717
DOI:10.3390/pr12122816