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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月10日

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  • Adil Baykasoğlu,
  • Elif Yoruk

摘要

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.