Big data analytics for operations management in engineer-to-order manufacturing

Kozjek, Dominik (author), Vrabič, Rok (author), Rihtaršič, Borut (author), Butala, Peter (author)

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
• Typology: 1.08 - Published Scientific Conference Contribution
• Organization: FS - Faculty of Mechanical Engineering
• Year: 2018
• Number of pages: Str. 209-214
• Numbering: Vol. 72
• PID: 20.500.12556/RUL-102332
• UDC: 658.5.012.7:658.56(045)
• ISSN on article: 2212-8271
• DOI: 10.1016/j.procir.2018.03.098
• COBISS.SI-ID: 16190235
• Publication date in RUL: 21.08.2018

Record is a part of a proceedings

• Title: The 50th CIRP Conference on Manufacturing Systems, May 3rd - 5th, Taichung, Taiwan
• COBISS.SI-ID: 15509531

Record is a part of a journal

• Title: Procedia CIRP
• Publisher: Elsevier
• ISSN: 2212-8271
• COBISS.SI-ID: 12981019

Secondary language

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

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0270
• Name: Proizvodni sistemi, laserske tehnologije in spajanje materialov

• Funder: Other - Other funder or multiple funders
• Funding programme: Ministry of Higher Education, Science and Technology of the Republic of Slovenia
• Project number: 1000-15-0510