Data quality assessment of maintenance reporting procedures

Manik Madhikermi, Sylvain Kubler*, Jérémy Robert, Andrea Buda, Kary Främling

*Corresponding author for this work

Research output: Contribution to journalReview ArticleScientificpeer-review

15 Citations (Scopus)

Abstract

Today's largest and fastest growing companies’ assets are no longer physical, but rather digital (software, algorithms...). This is all the more true in the manufacturing, and particularly in the maintenance sector where quality of enterprise maintenance services are closely linked to the quality of maintenance data reporting procedures. If quality of the reported data is too low, it can results in wrong decision-making and loss of money. Furthermore, various maintenance experts are involved and directly concerned about the quality of enterprises’ daily maintenance data reporting (e.g., maintenance planners, plant managers...), each one having specific needs and responsibilities. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing expert maintenance systems, this paper develops a maintenance reporting quality assessment (MRQA) dashboard that enables any company stakeholder to easily – and in real-time – assess/rank company branch offices in terms of maintenance reporting quality. From a theoretical standpoint, AHP is used to integrate various data quality dimensions as well as expert preferences. A use case describes how the proposed MRQA dashboard is being used by a Finnish multinational equipment manufacturer to assess and enhance reporting practices in a specific or a group of branch offices.

Original languageEnglish
Pages (from-to)145-164
Number of pages20
JournalEXPERT SYSTEMS WITH APPLICATIONS
Volume63
DOIs
Publication statusPublished - 30 Nov 2016
MoE publication typeA2 Review article in a scientific journal

Keywords

  • Analytic hierarchy process
  • Data quality
  • Decision support systems
  • Information quality
  • Maintenance
  • Multi-criteria decision making

Fingerprint

Dive into the research topics of 'Data quality assessment of maintenance reporting procedures'. Together they form a unique fingerprint.

Cite this