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Implementasi Failure Mode Effect Analysis (FMEA) dan Fuzzy Logic sebagai Program Pengendalian Kualitas Siti Aisyah
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 4, No 2 (2011): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v4i2.87

Abstract

PT SKF Indonesia which is one of the largest manufacturing companies in Indonesia produced various types of Bearing 6201. There are many failures in the production process that reduces the function of Bearing. To be able to meet consumer desires and to prevent or eliminate failures, companies need to make improvement programs that can minimize the failure rate which is the implementation of Failure Mode and Effect Analysis (FMEA) and the use of fuzzy logic. The purpose of this study is to analyze the proportion of defects and process capability in assembly, analyzing potential failures, identify root causes of defects, and calculate the value of the highest RPN. In addition, to create improvement plans based on the highest RPN. The data used based on data occurred during October 2010. Based on the data processing using fuzzy FMEA method, found that the failure rate of occurrence of defects per day amounted to 1.005%. For the Cp value is equal to 1.29 and Cpk of 1.22. Types of failures that occur in the process are Noise, Shoemark, Black Surface and Wedge. RPN values obtained from the results using conventional methods and fuzzy FMEA is basically the same. From the results obtained the highest ranking RPN calculation for this type of failure Noise. To seek improvements in the quality of disability Noise, prepared improvement plans using 5W-1H for the human, material, environment, methods, and machinery. Improvement plans to minimize the amount of noise is to give training to the employees. There is need for the inspection process by sampling the incoming raw materials to add lights at points that are important in the production room, always pay attention when the lamp is die and replace it with a new, in the preparation of OR and IR components must be aligned, sticking posters in the work area that contains the image the correct way up, schedule an examination 1 week once the machine is known engine or not feasible to use, and optimize preventive maintenance.Keywords: Failure Process, Failure Mode and Effect Analysis, Fuzzy Logic, Fuzzy FMEA, RPN
Usulan Penyeimbangan Lintasan Produksi pada Line Final Assembling KWh OB91Z Guna Meningkatkan Efisiensi Lintasan Produk Siti Aisyah; Mediana Mediana
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 6, No 1 (2013): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v6i1.98

Abstract

Smooth production in a manufacturing firm is very important because it will affect the outcome of which is the expected output of the production trajectory balance that existed at the company if it is optimal or not. The objectives to be achieved in this research is balancing production trajectory so that the expected target company can be reached, drink idle time, and improve the efficiency of the production trajectory. At PT METBELOSA there are trajectories that have not been balanced by the production of idle time on the final line for assembling OB91Z 1.606149 minutes, balance delay in assembling the final line OB91Z by 29.75% and the efficiency in assembling the final line OB91Z of 70.25%, from Data collection on the final assembling line OB91Z also note that the company can’t achieve the expected production targets every day as many as 1500 kwh meter OB91Z type. Therefore the company needs to make improvements in the balancing path to reach their intended target in the final assembling line OB91Z. The method used is a heuristic method MALB (Mansoor Aided Line Balancing) and heuristic methods COMSOAL (Computer Method for Sequencing Operations for Assembly Lines). The data used is data on the production process of assembling the final line OB91Z and the amount of labor in assembling the final line OB91Z. After making improvements by using heuristic methods MALB (Mansoor Aided Line Balancing) then the balance delay becomes 14.62% and 85.38% effeciency be.Keywords: Line Balancing, MALB, COMSOAL, Efficiency, Balance Delay, Work Station