Computing weighted overall equipment effectiveness based on a fuzzy approach: a comparative study with an application

Adil Baykasoğlu () and Elif Yoruk
Additional contact information
Adil Baykasoğlu: Dokuz Eylül University
Elif Yoruk: Dokuz Eylül University

Fuzzy Optimization and Decision Making, 2025, vol. 24, issue 2, No 4, 269 pages

Abstract: Abstract This paper introduces a new method for calculating weighted Overall Equipment Effectiveness (OEE) by using fuzzy logic. Traditional crisp methods for computing weighted OEE have limitations due to the multiplicative nature of the OEE equation, leading to questionable outcomes. OEE is computed as the product of three key factors -Availability, Performance and Quality- that means that even a small reduction in any one factor results in a disproportionately lower OEE value. This multiplicative structure also makes it difficult to incorporate weighting mechanisms fairly. Previous literature has explored fuzzy logic-based approaches, particularly fuzzy rule-based methods, which do not necessitate the multiplication of OEE variables (Availability, Performance, and Quality). These fuzzy logic approaches can also handle system uncertainties and yield satisfactory results. However, there is currently no study in the literature for calculating weighted OEE by utilizing fuzzy rule-based techniques. The current paper outlines an approach to address this issue, accompanied by a case study conducted in an actual manufacturing company. Additionally, alternative weighted OEE computation methods are also evaluated for demonstrating suitability of the proposed approach.

Keywords: Overall equipment effectiveness; Weighted overall equipment effectiveness; Fuzzy logic; Manufacturing performance assessment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10700-025-09445-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fuzodm:v:24:y:2025:i:2:d:10.1007_s10700-025-09445-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10700

DOI: 10.1007/s10700-025-09445-1

Access Statistics for this article

Fuzzy Optimization and Decision Making is currently edited by Shu-Cherng Fang and Boading Liu

More articles in Fuzzy Optimization and Decision Making from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().