Missingness Analysis of Manufacturing Systems: A case study

Caoimhe M. Carbery; Roger Woods; Cormac  McAteer; David M  Ferguson

doi:10.1177/09544054221076631

Missingness Analysis of Manufacturing Systems: A case study

Caoimhe M. Carbery, Roger Woods, Cormac McAteer, David M Ferguson

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

109 Downloads (Pure)

Abstract

Increasingly manufacturing companies are looking to use sensors to collect data from production lines to help analyse their performance. More rigorous approaches are needed to process and analyse the resulting data, particularly when considering missingness. In this paper, we present the results from a major study into missingness in Seagate's disk head manufacturing process in Londonderry UK. Working in collaboration with company staff, a detailed approach for analysing missingness has been developed. The work shows how missing data analytics can be employed to analyze the quality of the data, identify relationships and diagnose the presence of any patterns.

Original language	English
Article number	JEM-21-0355.R1
Number of pages	23
Journal	Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Early online date	07 Feb 2022
DOIs	https://doi.org/10.1177/09544054221076631
Publication status	Early online date - 07 Feb 2022

Access to Document

10.1177/09544054221076631Licence: CC BY

Missingness analysis of manufacturing systems: A case study
Copyright 2022 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 2.3 MBLicence: CC BY

Statistical data analysis of industrial systems
Carbery, C. (Author), Woods, R. (Supervisor) & Marshall, A. (Supervisor), Dec 2019
Student thesis: Doctoral Thesis › Doctor of Philosophy

File

Cite this

@article{ee171ecb6f5f4b63a025d6e6a8294ecf,

title = "Missingness Analysis of Manufacturing Systems: A case study",

abstract = "Increasingly manufacturing companies are looking to use sensors to collect data from production lines to help analyse their performance. More rigorous approaches are needed to process and analyse the resulting data, particularly when considering missingness. In this paper, we present the results from a major study into missingness in Seagate's disk head manufacturing process in Londonderry UK. Working in collaboration with company staff, a detailed approach for analysing missingness has been developed. The work shows how missing data analytics can be employed to analyze the quality of the data, identify relationships and diagnose the presence of any patterns.",

author = "Carbery, {Caoimhe M.} and Roger Woods and Cormac McAteer and Ferguson, {David M}",

year = "2022",

month = feb,

day = "7",

doi = "10.1177/09544054221076631",

language = "English",

journal = "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture",

issn = "0954-4054",

publisher = "Sage Publishing Inc.",

}

TY - JOUR

T1 - Missingness Analysis of Manufacturing Systems: A case study

AU - Carbery, Caoimhe M.

AU - Woods, Roger

AU - McAteer, Cormac

AU - Ferguson, David M

PY - 2022/2/7

Y1 - 2022/2/7

N2 - Increasingly manufacturing companies are looking to use sensors to collect data from production lines to help analyse their performance. More rigorous approaches are needed to process and analyse the resulting data, particularly when considering missingness. In this paper, we present the results from a major study into missingness in Seagate's disk head manufacturing process in Londonderry UK. Working in collaboration with company staff, a detailed approach for analysing missingness has been developed. The work shows how missing data analytics can be employed to analyze the quality of the data, identify relationships and diagnose the presence of any patterns.

AB - Increasingly manufacturing companies are looking to use sensors to collect data from production lines to help analyse their performance. More rigorous approaches are needed to process and analyse the resulting data, particularly when considering missingness. In this paper, we present the results from a major study into missingness in Seagate's disk head manufacturing process in Londonderry UK. Working in collaboration with company staff, a detailed approach for analysing missingness has been developed. The work shows how missing data analytics can be employed to analyze the quality of the data, identify relationships and diagnose the presence of any patterns.

U2 - 10.1177/09544054221076631

DO - 10.1177/09544054221076631

M3 - Article

SN - 0954-4054

JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

M1 - JEM-21-0355.R1

ER -

Missingness Analysis of Manufacturing Systems: A case study

Abstract

Access to Document

Fingerprint

Student theses

Statistical data analysis of industrial systems

Cite this