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All Journal Jurnal Gizi Journal of Nutrition College Jurnal Riset Gizi Metode : Jurnal Teknik Industri Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Riset Gizi Jurnal Medika: Medika Tarbawi : Jurnal Studi Pendidikan Islami Tarbawi : Jurnal Studi Pendidikan Islami Assyfa Journal of Farming and Agriculture Jurnal Riset Gizi AJCD Jurnal Keilmuan dan Aplikasi Teknologi Industri Jurnal Keilmuan dan Aplikasi Teknologi Industri
Enik Sulistyowati
Nutrient Department, Polytechnic Health Ministry of Semarang
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Effectiveness of Preventive and Predictive Maintenance in Improving Machine Performance: A Systematic Review Sulistyowati, Enik; Hazarika, Anurag; Madhukullya, Samikshya
AMCA Journal of Community Development Vol. 4 No. 2 (2024): AMCA Journal of Community Development
Publisher : AMCA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51773/ajcd.v4i2.278

Abstract

Effective machine maintenance is key to ensuring productivity and operational efficiency in the industrial sector, where although preventive maintenance has become the standard, technological developments are now introducing more advanced predictive maintenance strategies, but a comprehensive comparison of the effectiveness of these two approaches in improving machine performance is still limited. This study aims to conduct a systematic review and meta-analysis of the efficacy of preventive and predictive maintenance methods, especially in the manufacturing industry, through a literature search in Scopus, Web of Science, and IEEE Xplore databases with related keywords, where empirical studies comparing both methods and their impacts on machine performance, including availability, reliability, and maintenance costs, are included. Meta-analysis was used to measure the difference in effectiveness between the methods, with study quality assessed using the AMSTAR checklist. The results showed that of the 25 studies that met the inclusion criteria, predictive maintenance was shown to be more effective in improving availability than preventive maintenance (effect size = 0.75, 95% CI: 0.60-0.90, p < 0.01), where factors such as cost, technology level, and machine type influenced the selection of the optimal maintenance method. This systematic review indicates that predictive maintenance is more effective in improving machine performance than preventive methods. However, the choice of the optimal method must be tailored to the specific industry context, and these findings are essential for decision-making in industrial maintenance management.
Co-Authors Abd. Azis, Abd. Afifatun Nafisah, Afifatun Ahzam, Muhammad Amalia, Tama Putri Ana Yuliah Rahmawati, Ana Yuliah Dari, Siska Wulan Diana, Alfi Nur Dinata, Budi Wahyu Djati, RR Titis Pitaloka Djatiningsih Setyorini, Djatiningsih Eryani, Riris Hapsari, Bela Amalia Hapsari, Bella Amalia Hazarika, Anurag Heni Hendriyani Hermawanto, Roki Iis Riyana Ismoyowati, Catur Sri j.ezugwu, umezurike Johanes Supadi, Johanes Kun Aristiati Susiloretni Madhukullya, Samikshya Madinatul Munawaroh Makhfud Syawaludin Muflihah Isnawati MUHAMMAD RIZAL Noviardhi, Astidio Nur Hamidah, Nur Octavia, Ratna Dewi Ramadhanti, Fernandita Mutiara Ria Ambarwati Riski, Lutfir Riyanti, Iis Rossidha, Risma Rudi Kurniawan Safitri, Yeni Liza Sholehuddin Sofiyulloh Soliha, Khofidatus Sri Noor Mintarsih Sri Sulistyowati Suadi Suadi Sunarto Sunarto Usmiyatun Usmiyatun Wahananisanti, Zulva Wiwik Wijaningsih Yuniarti Yuniarti Yusuf Yusuf