First Cost-Savings Step: Critical Equipment Selection

Author(s):  
J. K. August ◽  
Ed Dundon ◽  
Krishna Vasudevan ◽  
Wayne H. Magninie

The typical plant Computerized Maintenance Management System (CMMS) holds several thousand components tags, although nuclear units may exceed 100,000. “Critical equipment” simplifies equipment selection for PM assessment and prioritizes corrective maintenance. However, critical equipment holds subtle meaning. Complex equipment, multiple failure modes, and multiple systems functional failure effects, can diminish critical equipment value. Applied to failure-preventing tasks, critical terminology should support performance-based preventive maintenance plans. Identifying critical equipment is only the start.

1972 ◽  
Vol 9 (04) ◽  
pp. 405-418
Author(s):  
A. R. Kramer ◽  
J. Mathieson ◽  
S. Pergament ◽  
N. Gleicher

This paper describes a new computerized maintenance management system aboard ship, using a continuously monitoring reference comparison technique (deviation concept). Some detailed design goals and expected results are outlined. Appendices contain some details of the machinery lists, instrumentation installation, and analysis of equipment using this concept. Future uses of the system are described.


Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 156
Author(s):  
Deniz Besiktepe ◽  
Mehmet E. Ozbek ◽  
Rebecca A. Atadero

Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.


Author(s):  
Andriani Andriani ◽  
Ikhsan Romli

In an industry, the maintenance department plays a very important role in ensuring the smooth production process. The method of machine maintenance with preventive maintenance is a strategy that can be used to repair existing machines. This is related to proper and regular maintenance can improve engine performance and reduce the level of engine damage which will increase the continuity of production activities. In the die casting division of PT Astra Honda Motor in the observation on the die casting machine 07 there were 45 times damage to the ladle component and 11 times the damage to the auto spray component. These two components are critical components of the 07 die casting machine. After testing the compatibility index and the good compatibility of the damage time data and repair time data to obtain distribution data distribution patterns, obtain the tablespoon component MTTF assessment results of 107,833 hours and auto spray components amounting to 314,226 hours. Whereas the MTTR value of the spoon component is 0.385 hours and the auto spray component is 0.766 hours. The next step is to look for critical component replacement time intervals with the age replacement model, to further review whether it is related to increased reliability, decrease in total downtime, and cost savings before preventive maintenance is carried out and after preventive maintenance is carried out.


Respuestas ◽  
2016 ◽  
Vol 21 (1) ◽  
pp. 77 ◽  
Author(s):  
Jessica Yajaira Uzcátegui-Gutiérrez ◽  
Andrónico Varela-Cárdenas ◽  
Juan Isidro Díaz-García

Antecedentes: La categoría de clase mundial en mantenimiento se apoya en metodologías como el Mantenimiento Centrado en Confiabilidad (MCC), la cual ayuda a determinar acciones concretas de mantenimiento, identificando fallas y procedimientos de corrección de las mismas. Objetivos: En este trabajo se planteó el diseño de un marco referencial para la aplicación de herramientas para la gestión mantenimiento de empresas cementeras, aplicando la metodología del MCC. Metodología: Se desarrolló una investigación de tipo descriptiva y de campo, en la cual se consideró como unidad de análisis la Fábrica Nacional de Cemento, Planta Táchira en Venezuela. A tal efecto, la técnica de recolección de datos constató indicios escritos y el instrumento seleccionado fue una matriz de categorías. Resultado: Se diagnosticó que la gestión de mantenimiento en la empresa no considera los principios básicos de la confiabilidad de los activos. Conclusiones: Se identificaron las etapas de aplicación de las herramientas de confiabilidad: análisis de criticidad, análisis de modos y efectos de fallas, y análisis de causa - raíz, a través del cumplimiento de tres fases contentivas en un sistema que involucra insumos, procesos y resultados en cada fase; para finalmente indicar las pautas a seguir en la aplicación de las mencionadas herramientas.Abstract Background: The category of world class maintenance is based on methodologies such as Reliability Centered Maintenance, which helps to determine speciic maintenance actions, identifying fails and the procedures for ixing them. Objectives: In this work the design of a framework was proposed to implement management tools for maintenance of cement companies, applying the methodology of the MCC. Method: A descriptive and ield research was developed, in which it was considered as a unit of analysis the National Cement Factory, Plant Tachira in Venezuela. To do this, the data collection technique veriied written evidence and an array of categories was the selected instrument. Result: It was diagnosed that the maintenance management in the company does not consider the basic principles of asset reliability. Conclusions: The stages of application of the tools of reliability were identiied: criticality analysis, analysis of failure modes and effects, and root cause analysis, through compliance three contentive phases in a system involving inputs, processes and results in each phase; to i nally indicate the guidelines in the application of the above-mentioned tools. Palabras Clave: cementera, coniabilidad, herramientas del MCC, Mantenimiento. 


2020 ◽  
Vol 25 (4) ◽  
pp. 3-16
Author(s):  
E.A.C.P. Karunarathne ◽  
A.S.M.A.R. Abeyratne

The study attempted to examine the user training and experience on user acceptance of a computerized maintenance management system (CMMS) in a continuously progressing industry where maintenance management is extremely vital for the smooth functioning. A cross-sectional study design was used in this research. The study population comprised of users of CMMS. The analysis was mainly carried out using structured equation modeling techniques. The results reveal that perceived usefulness was the most significant determinant of adoption of a complex system than all the other variables, underscoring the importance of incorporating the appropriate functional capabilities in new systems. The findings affirm that a system will be adopted if it is regarded as useful, irrespective of attitude, provided that the use of the system is perceived to offer direct benefits to the user. All the relationships existing between perceived ease of use, perceived usefulness, attitude towards using, and behavioral intention were tested and found to be significant and positive. Further analysis revealed that experience helps in ease of use but not in usefulness while training impacts on both usefulness and ease of use. Based on the analysis results recommendations were made to track the value of user training and experience accordingly.


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