Purpose: This study aims to analyse the waste in the production line to get an efficient production lead time. Methodology/Approach: This research uses the integration method of value stream mapping and kaizen. Based on the analysis with expert judgment, it is known that the waste comes from an inefficient factory layout. Improvements by making changes to factory layouts and merging workstations. Findings: This research has found waste caused by ineffective factory layouts based on Focus Group Discussions (FGD). Improvements by incorporating workstations and changes to the factory layout can reduce production lead time. The results showed that the production lead time decreased from 3.21 days to 2.31 days or a decrease in the ratio of 31.15%. Research Limitation/Implication: This research can also improve manufacturing performance such as cost efficiency, efficient layout, and labour reduction. So for similar companies, this research can be a reference for making improvements in reducing waste that can improve manufacturing performance so that they can compete in national and international markets. Originality/Value of paper: This paper provides benefits for the musical instrument industry regarding waste reduction. According to this research, lean production can increase the productivity and quality of the production system, because it can eliminate the waste of time or the production process. The new approach of this research is used the integration methods by involving experts through FGDs to make improvements and reduce waste in the production line.
FMEA adalah suatu alat yang secara sistematis mengidentifikasi akibat atau konsekuensi dari kegagalan sistem atau proses, serta mengurangi atau mengeliminasi peluang terjadinya kegagalan. Tujuan dari makalah ini adalah untuk mengidentifikasi mode kegagalan potensial dan dampaknya untuk meningkatkan keandalan dan keamanan sistem yang kompleks. Selain itu teknik ini juga berguna untuk mengumpulkan data yang dibutuhkan untuk pengambilan keputusan dan pengendalian risiko. FMEA merupakan sebuah alat yang diintegrasikan dengan banyak metode seperti Quality Function Deployment (QFD), Root Cause Analysis (RCA), Six Sigma, FTA, Fuzzy Kano dan tujuh alat dasar kualitas untuk mengatasi permasalahannya. Makalah ini melibatkan studi review dari 25 makalah di kawasan Asia yang terkait dengan implementasi alat FMEA. metodologi FMEA sekarang banyak digunakan di berbagai industri termasuk di industri manufaktur untuk mengembangkan produknya. Selain itu FMEA juga sering ditemukan dalam analisis kegagalan di industri jasa, layanan makanan, maupun di industri kesehatan. Makalah ini memuat hasil dari berbagai aspek yang berbeda. Aspek itu meliputi fokus industri, fokus jumlah distribusi menurut negara dan fokus tahun publikasi. Makalah ini bermanfaat bagi semua jenis sektor industri untuk menngidentifikasi mode kegagalan dan dampaknya serta untuk pengendalian resiko. Makalah ini juga memberikan keuntungan bagi peneliti selanjutnya untuk menambah wawasan dan referensi untuk studi terkait alat FMEA.
A ventilator machine is a medical device that plays an important role in handling Covid-19 cases during a pandemic. Covid 19 patients are arriving at a referral hospital in Jakarta, meaning that the hospital must prepare its medical equipment, including a ventilator machine. The ventilator machine experienced problems because the efficiency of the machine decreased so many patients waited in the ICU room. Machine effectiveness has an average value of 62.26% so it has an impact on disrupting patient services at home. The purpose of this research is to look for factors that cause the lack of effective value of ventilator machines and find effective solutions to increase the effectiveness of ventilator machines so that they can serve Covid-19 patients during a pandemic. This research method combines Focus Group Discussion in determining 5W+1H and implementing the pillars of Total Productive Maintenance to improve the Overall Effectiveness of Equipment on Ventilator machines. This study found a breakdown factor of 54.10%, idle and minor loss of 41.20%, and others of 4.70%. The effect of overall improvement has been able to increase the average effectiveness value by 85.00% from Sep 2021-Feb 2022, so this is supported by the hospital's program in terms of increasing the effectiveness of machines in patient care.
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