scholarly journals Analisa Perbaikan Manajemen Perawatan Dengan Metode Reliability Centered Maintenance Bagian Cnc Wirecut di PT X

2021 ◽  
Vol 1 (1) ◽  
pp. 22-30
Author(s):  
Mahmud Iqbal Syam ◽  
Cecep Hadiyan ◽  
Tusmin Hardi

PT X is one of the manufacturing companies in Indonesia, which specializes in manufacturing molds and dies which offers products to the internal group and the domestic market. This study discusses the policy analysis of machine repair maintenance management using the RCM (Reliability Centered Maintenance) method approach at the PT X manufacturing company. Some of the problems that occur are sudden engine failure, which will cause over production. One machine that is considered critical is the CNC Wirecut K90 machine. With the application of using RCM it is expected to improve machine reliability through several systematic RCM implementations: system selection and information collection, defining system boundaries, system descriptions and function block diagrams, describing system functions and functional failures, compiling Failure Mode and Effect Analysis (FMEA), composing Logic Tree Analysis (LTA), selection of actions. The new policy set by the Realibility Centered Maintenance (RCM) method consists of 14 failure modes that are resolved by time-directed (CD) and 6 failure modes that are overcome by run to failure (RTF). In the FMEA analysis, there are 4 components that most often fail to function, namely the electrode pin, wire guide, filter and contact fit. The determination of this component is based on the RPN value and data in the field. In the RCM analysis, the electrode pin, wie guide and contact fit components are included in the run to failure (RTF) treatment policy category. Meanwhile, the filter component is in the category of condition direction (CD) maintenance policy with an average failure rate of 29,951 days.

2019 ◽  
Vol 7 ◽  
Author(s):  
Kurniawan Eka Rusandi ◽  
Wiwik Sulistiyowati

PT. ICP is a company engaged in manufacturing of packaging, with a wide variety of packaging technologies that fit the needs of the current market share. Among the resulting product is aplastic cup, the results of thermoforming. This research aims to know the main cause of the defect (defect) in a plastic cup products and to reduce product defects in the production process. From the results of the observations made in September 2017 until December 2017 known that the plastic cup products with total production of 63,314,964 pcs to 3,671,341 pcs disability amount. Based on the problems faced by the company efforts on product quality control plastic cup to find the cause of a disability and find solutions for improvement. Proper methods used in the problems that occurred in PT ICP are using Statistical Process Control (SPC) and the method of Failure Mode and Effects Analysis (FMEA). The method is intended to reduce defects in the product and look for the main cause of defect products in a plastic cup. From the results of research conducted has been known that the biggest cause of disability plastic cup is of a rough lip with disabilities amount of 1,346,308 pcs with a cumulative value of 42%. FMEA analysis and the results of that unknown cause rough lip is from wear cutting factor with a value of 224 RPN.


Author(s):  
Gee-Yong Park ◽  
Sup Hur ◽  
Dong H. Kim ◽  
Dong Y. Lee ◽  
Kee C. Kwon

This paper describes a software safety analysis for a software code that is installed at an Automatic Test and Interface Processor (ATIP) in a digital reactor protection system. For the ATIP software safety analysis, an overall safety analysis is at first performed over the ATIP software architecture and modules, and then a detailed safety analysis based on the software FMEA (Failure Modes and Effect Analysis) method is applied to the ATIP program. For an efficient analysis, the software FMEA is carried out based on the so-called failure-mode template extracted from the function blocks used in the function block diagram (FBD) for the ATIP software. The software safety analysis by the software FMEA, being applied to the ATIP software code which has been integrated and passed through a very rigorous system test procedure, is proven to be able to provide very valuable results (i.e., software defects) which could not be identified during various system tests.


2012 ◽  
Vol 468-471 ◽  
pp. 2707-2711
Author(s):  
Xing Yu Jiang ◽  
Long Zhen Xu ◽  
Ling Tong ◽  
Xin Min Zhang

To cope with the challenges of conventional quality design system applied in supply chain, a new method of product lifecycle oriented quality design mode, which integrates voice of customer, quality function deployment (QFD) and failure modes and effect analysis (FMEA), and corresponding organization and function model were all put forward. This mode dealt mainly with constructing and running product lifecycle oriented quality design system, integrated several key technologies such as the integration of QFD and FMEA, task distribution of quality design, integrated technology of computer-supported-collaborative work (CSCW). On the basis of these, applying Java, JSP and JavaServlet to the system, improve working efficiency and shorten the development cycle so as to respond to the fluctuation of market demands as quick as possible. The quality design of some automobile was introduced as an example to verify that the system developed would efficiently meet the requirements of supply chain.


Author(s):  
Mario Di Nardo ◽  
Teresa Murino ◽  
Gianluca Osteria ◽  
Liberatina Carmela Santillo

The Failure Mode and Effect Analysis (FMEA) is often used to improve a system's reliability. This paper proposes a new approach that aims to overcome the most critical defects of the traditional FMEA. This new methodology combines the Entropy and Bwm methodology with the EDas and System Dynamics, FMECA: The EN-B-ED Dynamic FMECA. The main innovation’s point of the proposed work is the presence of an unknown factor (Cost) in order to take into consideration the economic aspect; the evaluation of the four-factor through both an objective method (Entropy method) and a subjective method (BWM); the ranking method used (EDAS method), much more accurate than RPN; the development of a dynamic criticality analysis to take in consideration the dynamic aspect of the system. This work aims to give manufacturing companies an easy and replicable method to analyze the possible failure modes and prevent the fault.


2020 ◽  
Vol 1 (02) ◽  
pp. 197-212
Author(s):  
Fathurohman Fathurohman ◽  
Slamet Triyono

Expedition truck is a vehicle that serves to transfer goods from one place to another. Previously maintenance policy was periodic, depending on the run distance and Run To Failure, maintain the trucks after the occurrence of component damage then system failure. Analysis in maintenance management based on system and critical components do optimize truck performance by using RCM (Reliability Centered Management) method. There are 5 systems in a truck: electrical system, power steering system, cooling machine system, coupling system, and brake system. Interaction and function of the components from each system are analyzed, evaluated the failure mode (FMEA method), and categorized the level of critical damage and adjusted the maintenance time (LTA method).  The results of the RCM method for 16 component functions from the 5 systems are 5 component functions with Time Directed (TD), 6 Condition Directed (CD), 3 Failure Finding (FF), and 2 component functions by Run To Failure (RTF).


Machines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 50 ◽  
Author(s):  
Samuel Okwuobi ◽  
Felix Ishola ◽  
Oluseyi Ajayi ◽  
Enesi Salawu ◽  
Abraham Aworinde ◽  
...  

This study investigated the breakdown trend in an automated production with an aim to recommend the application of reliability-centered maintenance (RCM) for improved productivity via a new preventive maintenance (PM) program. An individual section-forming machine (ISM)—a glass blowing machine for making glass bottles—was used as the case study for an automated production system. The machine parts and the working mechanisms were analysed with a special focus on methods of processes and procedures. This will enable the ISM maintenance department to run more effectively and achieve its essential goal of ensuring effective machine operation and reduction in machine downtime. In this work, information is provided on the steps and procedures to identify critical components of the ISM using failure modes and effect analysis (FMEA) as a tool to come up with an optimal and efficient maintenance program using the reliability data of the equipment’s functional components. A relationship between the failure rate of the machine components and the maintenance costs was established such that using the recommended PM program demonstrates evidence of an improvement in the machine’s availability, safety, and cost-effectiveness and will result in an increase in the company’s profit margin.


2017 ◽  
Vol 16 (2) ◽  
pp. 83
Author(s):  
Rizki Arga Kurniawan ◽  
Heri Mujayin Kholik

Based on industrial competition nowadays,  production quality occurs to be the main concern of severals top companies. Method of machine maintenance is a way to incresing their production quality. Nowadays, several companies still using a corrective maintenance to maintain their machine, which is all of machine maintenance only be performed if the machine damaged. This thesis only  focus to high frequency stitching machine. This thesis using Reability centered maintenance method  to obtain optimum maintenance interval. This method gathers 7 step of data processing, starting from data selection, determinating restricions of the system, descripting the system and function of block diagram, and then FMEA (Failure Mode Effect Analysis) and LTA (Logic Tree Analysis). The result of this method is a correct maintenance action for critical components that included in condition directed and time directed categories. Qulitative analysis for Reliability Centered Maintenance  method includes types indectification of maintenance, cause of damage and the occuring failure. Resul of the research contain several maintenance actions for critical components using condition directed method and critical component replace schedule using time directed method. From the suggested system maintenance simulation with RCM method, downtime can be decrease until 47,83%.


2019 ◽  
Vol 26 (1) ◽  
pp. 129-165
Author(s):  
Hasnida Ab-Samat ◽  
Shahrul Kamaruddin

Purpose Opportunistic maintenance (OM) policy is a prospective maintenance approach that instigates for a more effective and optimized system. The purpose of this paper is to provide the steps and methods used in model development processes for the application of the OM policy. Design/methodology/approach Dubbed as opportunistic principle toward optimal maintenance system (OPTOMS) for OM policy toward optimal maintenance system, the model is devised as a decision support system model and contains five phases. The motivation and focus of the model resolve around the need for a practical framework or model of maintenance policy for the application in an industry. In this paper, the OPTOMS model was verified and validated to ensure that the model is applicable in the industry and robust as a support system in decision making for the optimal maintenance system. Findings From the verification steps conducted in a case study company, it was found that the developed model incorporated simple but practical tools like check sheet, failure mode and effect analysis (FMEA), control chart that has been commonly used in the industry. Practical implications This paper provides the general explanations of the developed model and tools used for each phase in implementing OM to achieve an optimal maintenance system. Based on a case study conducted in a semiconductor company, the OPTOMS model can align and prepare the company in increasing machine reliability by reducing machine downtime. Originality/value The novelty of this paper is based on the in-depth discussion of all phases and steps in the model that emphasize on how the model will become practical theories in conducting an OM policy in a company. The proposed methods and tools for data collection and analysis are practical and commonly used in the industry. The framework is designed for practical application in the industry. The users would be from the Maintenance and Production Department.


Author(s):  
Samuel Okwuobi ◽  
Felix Ishola ◽  
Oluseyi Ajayi

This study investigated the breakdown trend in an automated production with an aim to recommend the application of Reliability-centered maintenance (RCM) for an improved productivity via a new preventive maintenance (PM) program. Individual Section-forming machine (ISM): a glass blowing machine for making glass bottles was used as the case study of an automated production system. The machine parts and the working mechanisms were analysed with a special focus on methods of processes and procedures that will enable the ISM maintenance department run more effective and achieve its essential goal of ensuring effective machine operation and reducing machine downtime. In this work, information is provided on the steps and procedures to identify critical components of the ISM using Failure Modes and Effect Analysis (FMEA) as a tool to develop an optimal maintenance program based on the reliability data of the equipment’s functional components. A relationship was established between the failure rate of the machine components and the maintenance costs such that using the recommended PM program, an evidence of improvement in the machine’s availability, safety and cost-effectiveness will result into an increase in the company’s profit margin.


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