The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Maintenance performance measurement (MPM): issues and challenges
Abstract
Purpose: The purpose of this study is to identify various issues and challenges associated with development and implementation of a maintenance performance measurement (MPM) system. Design/methodology/approach: An analytical approach is adopted to identify the issues and challenges associated with MPM. Findings: The study finds that for successful implementation of MPM all employees should be involved and all relevant issues need to be considered. Furthermore, the traditional overall equipment effectiveness (OEE) used by the companies is inadequate, as it only measures the internal effectiveness. For measuring the total maintenance effectiveness both internal and external effectiveness should be considered. Practical implications: What cannot be measured cannot be managed effectively. To manage maintenance process operating managers and asset owners need to measure the contribution of maintenance towards their business goals. This paper discusses issues and challenges associated with MPM system, there by helping the managers to take care of the pitfalls of the MPM system and advocates that managers should focus on measuring the total effectiveness of maintenance process. Originality/value: The paper presents a concept of total maintenance effectiveness with focus on both internal and external effectiveness, and integration of the hierarchical levels and multi‐criteria maintenance performance indicators of MPM system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Performance measurement system design: A literature review and research agenda
Neely, A., Gregory, M., & Platts, K. (1995) · International Journal of Operations & Production Management · doi:10.1108/01443579510083622 · Cited by 3,259
Cited by
Total productive maintenance: literature review and directions
Ahuja, I. P. S., & Khamba, J. S. (2008) · International Journal of Quality & Reliability Management · doi:10.1108/02656710810890890 · Cited by 574
Metadata
- Authors
- Parida, A., & Kumar, U.
- Venue
- Journal of Quality in Maintenance Engineering
- Publisher
- Emerald
- Published
- 2006-07-01
- Volume
- 12
- Issue
- 3
- Pages
- 239-251
- ISSN
- 1355-2511 (ISSN-L)
- OpenAlex
- W2143694880
- Cited by
- 303
- References
- 1
- FWCI
- 30.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Maintenance performance measurement (MPM): issues and challenges. https://app.cochat.ai/papers/10.1108/13552510610685084
- The paper
- Parida, A., & Kumar, U. (2006). Maintenance performance measurement (MPM): issues and challenges. Journal of Quality in Maintenance Engineering. https://doi.org/10.1108/13552510610685084
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.