The shipbuilding industry is characterized by high-risk business activities; therefore, caution should be taken in its operational processes. From upstream to downstream, the shipbuilding industry depends on other industries. In this study, a risk assessment was conducted on the construction of new vessels using the Bayesian network approach; accordingly, the risk assessment was carried out using a probabilistic value at risk (VaR). The study was carried out by PT PAL Indonesia in association with the construction of a new tanker ship (building production codes M271 and M272). An analysis was conducted on three main components of new vessel construction-design components, material and production components, and subcomponents of the previous two components. From the study, we could conclude that the probability of delay for new vessel construction caused by design delay is 0.05; the probability of delay caused by material delay is 0.65; and the probability of delay caused by production delay is 0.3. For delays caused by design factors, a yard plan is the sub-component that contributes predominantly to delays (i.e., probability of 0.3). For delays caused by material factors, the sub-component with the greatest impact is hull and machinery outfitting, with a probability of 0.3. For delays caused by production factors, the sub-component with the biggest impact is hull construction, with a probability of 0.39. Thus, we could conclude that a project delay would occur if the material component and the hull construction sub-components were not handled properly.
The problem in this research is to determine the criteria and criteria weights from the suppliers. PT. KBP is a manufacturing company engaged in the manufacture of export shoes with the main raw material for leather and supporting raw material for heels. The products produced are various kinds of fashion model shoes for adult women, including boots, mid boots, sneakers, and sandals. During this time, the company set suppliers based on the price offered and the number of goods. This study aims to establish the criteria and sub-criteria used as aspects of consideration for selecting suppliers based on company conditions to produce the best supplier decisions. The method used in this study is AHP and TOPSIS. AHP is used as a weighting of criteria and sub-criteria, while TOPSIS is used to determine alternative priorities that are close to positive ideal solutions. This study uses seven criteria and 17 sub-criteria. The results with the AHP method obtained weighted price criteria 18.2%, quality 28.7%, delivery 11.1%, flexibility 9.9%, responsive 9.0%, performance history 10.9%, and warranty and claim policy 12.2% whereas the TOPSIS method was obtained for PT. B is 0.710, and for supplier, G heels are 0.537. Thus PT. KBP can prioritize PT. B, as the main supplier.
Industrialisasi dibidang migas mempunyai risiko kecelakaan kerja tinggi, Operasi kegiatan migas dibagi menjadi dua yaitu offshore dan onshore. Offshore facilities adalah eksplorasi Gas Bumi yang dimiliki oleh PT. X yang berada dilepas pantai utara pulau jawa dengan bentuk konstruksi yang berbeda serta ruang gerak bagi pekerja yang sangat terbatas. Faktor keselamatan dan kesehatan kerja merupakan prioritas utama dalam melaksanakan kegiatan dilakukan di Offshore Facilities. Metode failure mode effect and analysis (FMEA) merupakan metode yang diimplementasikan untuk mengidentifikasi potensi risiko kegagalan proses pekerjaan dengan menentukan dampak dan mengidentifikasi tindakan untuk mengurangi risiko kerja. Tujuan penelitian ini untuk mengetahui faktor yang menjadi penyebab dan mitigasi risiko dengan menyusun rekomendasi perbaikan untuk meminimalisir terjadinya kecelakaan kerja pada Offshore Operation Facilities di PT. X. Hasil penelitian menunjukan terdapat 9 aktivitas dalam pekerjaan di Offshore CPP-Upper Compression Module dengan nilai RPN tertinggi pada aktivitas melakukan pengencangan mur dan baut dengan nilai 576. Mitigasi dilakukan dengan memperbaiki sistem kerja dengan memperbaiki standar operasional prosedur khusus di area offshore facilities, menetapkan personel khusus untuk verifikasi seluruh dokumen kerja, melakukan sosialisasi kepada supervisor untuk peningkatan pengelolaan pekerjaan melalui perencanaan jadwal tenaga kerja yang dapat diverifikasi oleh sistem.
Tujuan dari penelitian ini adalah untuk mengetahui tingkat risiko yang mungkin dapat timbul pada proses produksi di PT. Bintang Timur Samudera. Dalam penelitian ini data yang yang digunakan adalah kegiatan operasional berupa proses produksi kapal aluminium melingkupi pekerjaan pada lambung kapal. Data tersebut diperoleh dari proses identifikasi di lapangan, wawancara tenaga ahli K3, dan penyebaran kuesioner pada pekerja. Metode yang digunakan untuk menganalisis data dan mendapatkan tingkat bahaya pekerjaan adalah Hazard Identification, Risk Assessment and Risk Control (HIRARC) sehingga dapat diperoleh cara mitigasi bahaya yang mungkin terjadi. Pengambilan data dilakukan dengan menyebarkan kuisioner kepada para pekerja dilapangan. Hasil dari proses identifikasi risiko K3 dengan metode HIRARC didapatkan 20 potensi bahaya dengan tingkat risiko sedang (100%). Setelah dilakukan pengendalian risiko, tingkat risiko turun menjadi 10% pada tingkat sedang dan 90% tingkat risiko rendah. Adapun cara pengendalian risiko bahaya tersebut dilakukan dengan cara pemakaian APD (Alat Pelindung Diri) yang lengkap sesuai dengan pekerjaan yang dilakukan, pemasangan rambu-rambu kewasapadaan (safety sign) seperti tanda bahaya, prosedur, dan aturan. Selain hal tersebut juga dapat dilakukan modifikasi pada alat yang digunakan demi meningkatkan nilai keselamatannya.
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