Perkembangan manajemen pengelolaan limbah padat di Indonesia diiringi dengan pembangunan Tempat Pengolahan Sampah Terpadu (TPST) untuk mengurangi jumlah sampah yang dikirim ke Tempat Pembuangan Akhir (TPA). TPST dengan mekanisme pengolahan Mechanical-Biological Treatment (MBT) mengombinasikan proses pengolahan mekanis dan biologis sampah, dengan proses mekanis meliputi pemilahan, penghancuran, dan pengolahan fisik sampah menggunakan peralatan mesin otomatis yang mengolah sampah menjadi produk bernilai jual, seperti Refused-Derifed Fuels (RDF) yang kini menjadi bahan bakar alternatif industri semen dan PLTU. Sebagai infrastuktur yang diharapkan beroperasi secara berkelanjutan, TPST berbasis mesin perlu dilakukan peninjauan kinerja secara berkala. Studi ini bermaksud mengukur efektivitas mesin pengolah sampah melalui pendekatan umum pengukuran efektivitas industri manufaktur, Overall Equipment Effectiveness (OEE). Untuk memaksimalkan kinerja mesin yang belum efektif, pendekatan Total Productive Maintenance (TPM) dipergunakan untuk merumuskan strategi implementatif yang dapat memaksimalkan kinerja TPST berbasis maintenance mesin oleh sumber daya manusia terkait.

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The development of solid waste management in Indonesia has been accompanied by the construction of Integrated Waste Processing Facilities (TPST) to reduce the amount of waste sent to Final Disposal Sites (TPA). TPST facilities employing Mechanical-Biological Treatment (MBT) mechanisms utilize machines operating automatically to process waste. TPST facilities produce various processed waste products, one of the most well-known being Refuse-Derived Fuels (RDF), which serves as an alternative fuel replacing coal. As processing infrastructure expected to operate sustainably, it is necessary to review TPST performance using the Overall Equipment Effectiveness (OEE) approach, a common method for measuring machine effectiveness in manufacturing industries. To maximize machine performance that has not yet reached optimal effectiveness, the Total Productive Maintenance (TPM) approach can be applied to formulate implementation strategies that enhance TPST performance through machine-based maintenance by stakeholders.