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Big data analytics for operations management in engineer-to-order manufacturing
Kozjek, Dominik (Author), Vrabič, Rok (Author), Rihtaršič, Borut (Author), Butala, Peter (Author)

URLURL - Source URL, Visit https://www.sciencedirect.com/science/article/pii/S2212827118302531#! This link opens in a new window

Abstract
Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to data analytics in engineer-to-order (ETO) manufacturing systems where the product quality and due-date reliability play a key role in management decisionmaking. The objective of the research is to investigate manufacturing data which are collected by a manufacturing execution system (MES) during operations in an ETO enterprise and to develop tools for supporting scheduling of operations. The developed tools can be used for simulation of production and forecasting of potential resource overloads.

Language:English
Keywords:engineer-to-order manufacturing, operations management, data analytics, industrial data, data mining, big data
Tipology:1.08 - Published Scientific Conference Contribution
Organization:FS - Faculty of Mechanical Engineering
Year:2018
Number of pages:Str. 209-214
Numbering:Vol. 72
UDC:658.5.012.7:658.56(045)
ISSN on article:2212-8271
DOI:10.1016/j.procir.2018.03.098 This link opens in a new window
COBISS.SI-ID:16190235 This link opens in a new window
Views:914
Downloads:206
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Record is a part of a proceedings

Title:The 50th CIRP Conference on Manufacturing Systems, May 3rd - 5th, Taichung, Taiwan
COBISS.SI-ID:15509531 This link opens in a new window

Record is a part of a journal

Title:Procedia CIRP
Publisher:Elsevier
ISSN:2212-8271
COBISS.SI-ID:12981019 This link opens in a new window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0270
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Funder:Drugi - Drug financer ali več financerjev
Funding Programme:Ministry of Higher Education, Science and Technology of the Republic of Slovenia
Project no.:1000-15-0510
Name:

Secondary language

Language:Slovenian
Keywords:posamična proizvodnja, management operacij, analitika podatkov, industrijski podatki, podatkovno rudarjenje, velepodatki

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