Andrawina Andrawina

Analisis Kinerja Produksi dan Faktor-Faktor yang Mempengaruhi Produktivitas Tambang Batubara di PT. XYZ

Introduction

Analisis kinerja produksi dan faktor-faktor yang mempengaruhi produktivitas tambang batubara di pt. Xyz. Analisis kinerja produksi & produktivitas tambang batubara PT. XYZ. Identifikasi faktor penyebab deviasi produksi, lost time, dan rekomendasi untuk efisiensi operasional.

Abstract

This study aims to analyze production performance and the factors influencing the productivity of mining operations at PT. XYZ during August 2025. The evaluation covers production achievement against the corporate work plan (RKAP) and the owner’s operational plan, equipment availability (Physical Availability), the productivity of loading and hauling units, and various types of loss time that reduce effective working hours. The results indicate that production realization reached only 65% of the RKAP target, while achieving 102% of the owner’s plan for total material. Low equipment availability, high loss time such as no hauler, wait operator, and front preparation, as well as the underperformance of 80-ton and 100-ton units, were identified as the main contributors to production deviation. Additional influencing factors include unit reassignment, suboptimal haul road conditions, and insufficient operational fleet numbers. The study recommends optimizing fleet management, enhancing preventive and predictive maintenance programs, reorganizing hauling workflows, and controlling dominant loss time sources to improve operational efficiency and production target achievement in future periods.

Review

This study, titled "Analisis Kinerja Produksi dan Faktor-Faktor yang Mempengaruhi Produktivitas Tambang Batubara di PT. XYZ," addresses a critical operational challenge: understanding and improving productivity in a coal mining context. The paper effectively outlines its objective to analyze production performance and the factors influencing productivity at PT. XYZ during August 2025. Key findings are clearly presented, highlighting a significant deviation from the corporate work plan (RKAP) with only 65% achievement, despite exceeding the owner’s operational plan for total material by 102%. The abstract concisely identifies the primary culprits for this underperformance, including low equipment availability, substantial loss time due to issues like "no hauler," "wait operator," and "front preparation," and the specific underperformance of 80-ton and 100-ton units. Secondary contributing factors such as unit reassignment, suboptimal haul road conditions, and insufficient operational fleet numbers are also noted, providing a comprehensive initial diagnosis of the problem. The strength of this study lies in its highly practical and data-driven approach to a common industry problem. By evaluating specific metrics like RKAP achievement, owner's plan realization, equipment physical availability, and various types of loss time, the research provides tangible points for intervention. The identification of concrete loss time sources and specific underperforming unit types demonstrates a granular level of analysis that is directly actionable for mining operations managers. Furthermore, the recommendations provided—optimizing fleet management, enhancing preventive and predictive maintenance programs, reorganizing hauling workflows, and controlling dominant loss time sources—are logical consequences of the findings and offer a clear path towards improving operational efficiency and achieving production targets. This focus on actionable insights makes the study particularly valuable for practitioners seeking to enhance productivity. While the abstract presents a clear and concise overview of the study's purpose and findings, future iterations or the full paper could benefit from further elaboration on certain aspects. A detailed description of the analytical methodology used, beyond stating what was covered, would strengthen the paper, allowing readers to better understand the rigor of the evaluation. Given the specific timeframe of "August 2025," discussing the generalizability of these findings or comparing them with longer-term trends could add further depth. Additionally, while recommendations are provided, a discussion of potential implementation challenges or strategies for overcoming them would enhance their practical utility. Nevertheless, this study offers highly relevant insights into coal mining productivity, effectively diagnosing key operational inefficiencies and proposing actionable solutions. It provides a solid foundation for operational improvement and is a valuable contribution to the field of mining engineering and operations management.

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