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This paper introduces the method to develop two main types of the fuzzy OEE (Overall Equipment Effectiveness) models via triangular membership function for measuring uncertainty. The fuzzy OEE includes model type 1 and model type 2. The model type 1 is used when the theoretical machine speed only reflects the time loss whereas model type 2 is used when the actual machine speed reflects both time and speed loss. Model type 2 has shown to perform a lower availability rate and a higher performance rate compared to model type 1. In addition, the fuzzy UPH (Unit Per Hour) which is derived from using the fuzzy OEE is presented to satisfy demand uncertainty. The fuzzy UPH can easily measure the fuzzy tact time and cycle time by reciprocating itself. Finally, this study demonstrates the fuzzy OEE models using IVIFS (Interval-Valued Intuitionistic Fuzzy Set) based on the characterization via membership function, non-membership function and hesitant function. For the purpose of analyzing the fuzzy system OEE, the OEE for each machine of plant structure is considered triangular interval-valued intuitionistic fuzzy number. Regardless of plant structure, the validity degree of fuzzy membership function of system OEE decreases when the number of machine with worst value of the validity degree increases. Corresponding examples are presented in this paper for practitioner to understand the applicability and practicability of the proposed fuzzy OEE methods.
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참고문헌 (29)
참고문헌 신청
Al-Najjar B. Alsyouf I. / 2003 / Selecting the Most Efficient Maintenance Approach Using Fuzzy Multiple Criteria Decision Making / International Journal of Production Economics 84:85~100
Atanassov K. T. / 2012 / On Intuitionistic Fuzzy Sets Theory / Springer
Atanassov K. T. / 2017 / Intuitionistic Fuzzy Logics / Springer
Berrah L. / 2018 / Industrial Objects and Industrial Performance : Concepts and Fuzzy Handling / Wiley
Cheng A. C. / 2008 / A Fuzzy Multiple Criteria Comparision of Technology Forecasting Methods for Predicting the New Materials Development / Technological Forecasting and Social Change 75:131~141
Atanassov K. T. / 2012 / On Intuitionistic Fuzzy Sets Theory / Springer
Atanassov K. T. / 2017 / Intuitionistic Fuzzy Logics / Springer
Berrah L. / 2018 / Industrial Objects and Industrial Performance : Concepts and Fuzzy Handling / Wiley
Cheng A. C. / 2008 / A Fuzzy Multiple Criteria Comparision of Technology Forecasting Methods for Predicting the New Materials Development / Technological Forecasting and Social Change 75:131~141
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