Content area

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.

Details

1009240
Title
Data Digitization in Manufacturing Factory Using Palantir Foundry Solution
Author
Krajný, Peter 1 ; Janeková, Jaroslava 1   VIAFID ORCID Logo  ; Fabianová, Jana 2   VIAFID ORCID Logo 

 Institute of Industrial Engineering, Management and Applied Mathematics, Technical University of Kosice, Park Komenského 5, 042 00 Košice, Slovakia; [email protected] (P.K.); [email protected] (J.J.) 
 Institute of Logistics and Transport, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, Letná 9, 042 00 Košice, Slovakia 
Publication title
Processes; Basel
Volume
12
Issue
12
First page
2816
Publication year
2024
Publication date
2024
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22279717
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-12-09
Milestone dates
2024-11-11 (Received); 2024-12-06 (Accepted)
Publication history
 
 
   First posting date
09 Dec 2024
ProQuest document ID
3149755312
Document URL
https://www.proquest.com/scholarly-journals/data-digitization-manufacturing-factory-using/docview/3149755312/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-03
Database
ProQuest One Academic