Ananta, Dhaniswara (2026) Analisis Ketahanan Aktivitas Bongkar Muat FPSO Menggunakan Pendekatan Kombinasi Functional Resonance Analysis Method (FRAM) Dan Fuzzy Logic. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Operasi bongkar muat pada Floating Production Storage and Offloading (FPSO) merupakan salah satu aktivitas kritis dalam rantai produksi minyak dan gas karena berperan dalam penyaluran minyak hasil produksi menuju shuttle tanker. Kompleksitas operasi yang melibatkan interaksi antara manusia, prosedur, peralatan, dan kondisi lingkungan menyebabkan munculnya variasi kinerja yang dapat memengaruhi keberlangsungan operasi. Oleh karena itu, diperlukan pendekatan yang mampu menggambarkan hubungan antar fungsi serta menilai kemampuan sistem dalam mempertahankan kondisi pengendaliannya ketika terjadi perubahan kinerja. Penelitian ini bertujuan untuk mengidentifikasi fungsi-fungsi utama pada operasi bongkar muat FPSO, memodelkan hubungan antar fungsi, menilai tingkat kerentanan fungsi berdasarkan faktor kinerja operator, serta menganalisis ketahanan fungsi terhadap penyebaran variasi kinerja dalam sistem operasi. Pendekatan Functional Resonance Analysis Method (FRAM) digunakan untuk memodelkan hubungan fungsional antar tahapan operasi berdasarkan karakteristik interaksi antar fungsi. Selanjutnya, metode Fuzzy Cognitive Reliability and Error Analysis Method (Fuzzy-CREAM) digunakan untuk menentukan tingkat peluang kegagalan tindakan berdasarkan pengaruh Common Performance Conditions (CPC). Analisis skenario dependency kemudian dilakukan untuk mengidentifikasi pengaruh penurunan kondisi suatu fungsi terhadap fungsi lainnya serta menilai kemampuan sistem dalam mempertahankan kondisi pengendaliannya. Penilaian menggunakan Fuzzy-CREAM menunjukkan adanya perbedaan tingkat kerentanan antar fungsi yang dipengaruhi oleh karakteristik pekerjaan dengan kondisi yang berbeda-beda dalam mendukung pelaksanaan operasi. Selain itu, hasil analisis dependency menunjukkan bahwa dengan tingkat kerentanan individual tertinggi tidak selalu menjadi fungsi yang paling kritis terhadap ketahanan sistem secara keseluruhan. Tingkat kekritisan fungsi dipengaruhi oleh posisi fungsi dalam jaringan hubungan FRAM serta kemampuan sistem dalam menyerap penyebaran variasi kinerja dengan tanpa menyebabkan perubahan kondisi pengendalian sistem.
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Cargo transfer operations on Floating Production Storage and Offloading (FPSO) units represent one of the critical activities in the oil and gas production chain, as they facilitate the transfer of produced oil to shuttle tankers. The complexity of these operations, involving interactions among humans, procedures, equipment, and environmental conditions, can lead to variations in performance that may affect operational continuity. Therefore, an approach is required to describe the relationships among functions and assess the system’s ability to maintain its control conditions when performance variations occur. This study aims to identify the main functions involved in FPSO cargo transfer operations, model the relationships among functions, assess the vulnerability of functions based on operator performance factors, and analyze the resilience of functions to the propagation of performance variations within the operational system. The Functional Resonance Analysis Method (FRAM) is employed to model functional relationships among operational stages based on the characteristics of interactions between functions. Subsequently, the Fuzzy Cognitive Reliability and Error Analysis Method (Fuzzy-CREAM) is used to determine the probability of action failure based on the influence of Common Performance Conditions (CPCs). Dependency scenario analysis is then conducted to identify the effects of performance degradation in one function on other functions and to assess the system’s ability to maintain its control conditions. The Fuzzy-CREAM assessment indicates differences in the vulnerability levels among functions, influenced by the characteristics of tasks and the varying conditions supporting operational execution. Furthermore, the dependency analysis shows that the function with the highest individual vulnerability is not necessarily the most critical function for overall system resilience. The criticality of a function is influenced by its position within the FRAM network and the systems ability to absorb the propagation of performance variations without causing changes in the systems control conditions.
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