Data Analytics for Smart Manufacturing: A Case Study

Nadeem Iftikhar; Thorkil Baattrup-Andersen; Finn Ebertsen Nordbjerg; Eugen Bobolea; Paul-Bogdan Radu

doi:10.5220/0008116203920399

Data Analytics for Smart Manufacturing: A Case Study

Nadeem Iftikhar, Thorkil Baattrup-Andersen, Finn Ebertsen Nordbjerg, Eugen Bobolea, Paul-Bogdan Radu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to proceeding › peer-review

Abstract

Due to the emergence of the fourth industrial revolution, manufacturing business all over the world is changing dramatically; it needs enhanced efficiency, competency and productivity. More and more manufacturing machines are equipped with sensors and the sensors produce huge volume of data. Most of the companies do neither realize the value of data nor how to capitalize the data. The companies lack techniques and tools to collect, store, process and analyze the data. The objective of this paper is to propose data analytic techniques to analyze manufacturing data. The analytic techniques will provide both descriptive and predictive analysis. In addition, data from the company's ERP system is integrated in the analysis. The proposed techniques will help the companies to improve operational efficiency and achieve competitive benefits.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA
Editors	Slimane Hammoudi, Christoph Quix, Jorge Bernardino
Number of pages	8
Volume	1
Publisher	SCITEPRESS Digital Library
Publication date	2019
Pages	392-399
ISBN (Electronic)	978-989-758-377-3
DOIs	https://doi.org/10.5220/0008116203920399
Publication status	Published - 2019

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it

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10.5220/0008116203920399

Cite this

Iftikhar, N., Baattrup-Andersen, T., Nordbjerg, F. E., Bobolea, E., & Radu, P.-B. (2019). Data Analytics for Smart Manufacturing: A Case Study. In S. Hammoudi, C. Quix, & J. Bernardino (Eds.), Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA (Vol. 1, pp. 392-399). SCITEPRESS Digital Library. https://doi.org/10.5220/0008116203920399

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title = "Data Analytics for Smart Manufacturing: A Case Study",

abstract = "Due to the emergence of the fourth industrial revolution, manufacturing business all over the world is changing dramatically; it needs enhanced efficiency, competency and productivity. More and more manufacturing machines are equipped with sensors and the sensors produce huge volume of data. Most of the companies do neither realize the value of data nor how to capitalize the data. The companies lack techniques and tools to collect, store, process and analyze the data. The objective of this paper is to propose data analytic techniques to analyze manufacturing data. The analytic techniques will provide both descriptive and predictive analysis. In addition, data from the company's ERP system is integrated in the analysis. The proposed techniques will help the companies to improve operational efficiency and achieve competitive benefits. ",

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author = "Nadeem Iftikhar and Thorkil Baattrup-Andersen and Nordbjerg, \{Finn Ebertsen\} and Eugen Bobolea and Paul-Bogdan Radu",

year = "2019",

doi = "10.5220/0008116203920399",

language = "English",

volume = "1",

pages = "392--399",

editor = "Slimane Hammoudi and Christoph Quix and Jorge Bernardino",

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publisher = "SCITEPRESS Digital Library",

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Iftikhar, N, Baattrup-Andersen, T, Nordbjerg, FE, Bobolea, E & Radu, P-B 2019, Data Analytics for Smart Manufacturing: A Case Study. in S Hammoudi, C Quix & J Bernardino (eds), Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA. vol. 1, SCITEPRESS Digital Library, pp. 392-399. https://doi.org/10.5220/0008116203920399

Data Analytics for Smart Manufacturing: A Case Study. / Iftikhar, Nadeem; Baattrup-Andersen, Thorkil; Nordbjerg, Finn Ebertsen et al.
Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA. ed. / Slimane Hammoudi; Christoph Quix; Jorge Bernardino. Vol. 1 SCITEPRESS Digital Library, 2019. p. 392-399.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to proceeding › peer-review

TY - GEN

T1 - Data Analytics for Smart Manufacturing

T2 - A Case Study

AU - Iftikhar, Nadeem

AU - Baattrup-Andersen, Thorkil

AU - Nordbjerg, Finn Ebertsen

AU - Bobolea, Eugen

AU - Radu, Paul-Bogdan

PY - 2019

Y1 - 2019

N2 - Due to the emergence of the fourth industrial revolution, manufacturing business all over the world is changing dramatically; it needs enhanced efficiency, competency and productivity. More and more manufacturing machines are equipped with sensors and the sensors produce huge volume of data. Most of the companies do neither realize the value of data nor how to capitalize the data. The companies lack techniques and tools to collect, store, process and analyze the data. The objective of this paper is to propose data analytic techniques to analyze manufacturing data. The analytic techniques will provide both descriptive and predictive analysis. In addition, data from the company's ERP system is integrated in the analysis. The proposed techniques will help the companies to improve operational efficiency and achieve competitive benefits.

AB - Due to the emergence of the fourth industrial revolution, manufacturing business all over the world is changing dramatically; it needs enhanced efficiency, competency and productivity. More and more manufacturing machines are equipped with sensors and the sensors produce huge volume of data. Most of the companies do neither realize the value of data nor how to capitalize the data. The companies lack techniques and tools to collect, store, process and analyze the data. The objective of this paper is to propose data analytic techniques to analyze manufacturing data. The analytic techniques will provide both descriptive and predictive analysis. In addition, data from the company's ERP system is integrated in the analysis. The proposed techniques will help the companies to improve operational efficiency and achieve competitive benefits.

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DO - 10.5220/0008116203920399

M3 - Conference contribution to proceeding

VL - 1

SP - 392

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BT - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA

A2 - Hammoudi, Slimane

A2 - Quix, Christoph

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Data Analytics for Smart Manufacturing: A Case Study

Abstract

Keywords

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Production Data Analytics

MADE Virksomhedsbesøg: Digitalisering og automatisering af produktionen hos en SMV

Cite this

Data Analytics for Smart Manufacturing: A Case Study

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Production Data Analytics

Activities

MADE Virksomhedsbesøg: Digitalisering og automatisering af produktionen hos en SMV

Cite this