Safety Analysis of Warehouse Operation with Safety-II Perspective Using Functional Resonance Analysis Method and Resilience Analysis Grid (Study Case: Company X)

Ma'arij, Ahmad Murtaja Dzaky (2022) Safety Analysis of Warehouse Operation with Safety-II Perspective Using Functional Resonance Analysis Method and Resilience Analysis Grid (Study Case: Company X). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perusahaan X merupakan salah satu perusahaan distribusi Fast Moving Consumer Goods (FMCG) terbesar di Indonesia. Operasi hariannya termasuk menerima barang-barang konsumsi dari produsen dan mendistribusikannya kepada pelanggan terus-menerus enam hari seminggu. Dari semua kegiatan pengiriman tersebut, sebagian akan terkirim sesuai jadwal, dan sebagian lagi akan ditunda keesokan harinya. Pengiriman yang ditunda ini adalah hasil yang tidak diinginkan. Dalam hal keamanan sistem, hasil ini harus diminimalkan untuk memastikan sistem menghasilkan hasil yang diinginkan. Untuk memahami bagaimana sistem bekerja dengan baik dan mengidentifikasi kemungkinan variabilitas kinerja, model sistem dapat dibuat dengan menggunakan Functional Resonance Analysis Method (FRAM). Mengikuti titik kritis yang ditemukan dari variabilitas kinerja, penilaian menggunakan Resilience Analysis Grid (RAG) digunakan untuk mengukur potensi ketahanan pelaku fungsi dalam melakukan aktivitas untuk menjaga operasi tetap sukses dalam kondisi tertentu, dan menghindari adanya hasil yang tidak diinginkan. Hasil dari model FRAM adalah terdapat kemungkinan variabilitas kinerja yang ditemukan pada fungsi penempatan barang ke rak, pengambilan barang, dan proses pengiriman, dengan dua fungsi tersebut dapat dianalisis lebih lanjut menggunakan metode RAG. Hasilnya skor kemampuan merespons 3,50, kemampuan memonitor 2,84, kemampuan belajar 3,88, dan kemampuan mengantisipasi 3,21. Berdasarkan skor aspek resiliensi, rekomendasi yang diberikan adalah jam kerja yang fleksibel dan pengenalan asesmen harian, sehingga kemampuan resiliensi dapat ditingkatkan.
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Company X is a distribution company of one of the largest Fast Moving Consumer Goods (FMCG) in Indonesia. Its daily operation includes receiving consumer goods from manufacturers and distributing them to customers constantly six days a week. Of all the delivery activities, some would be delivered on schedule, and some would be postponed to the next day. These postponed deliveries are undesirable outcomes. In terms of system safety, this outcome should be minimised to ensure systems are resulting in desirable outcomes. A model of the system could be constructed to understand how the system works properly and identify possible performance variability using the Functional Resonance Analysis Method (FRAM). Following the found critical point of performance variability, assessment using Resilience Analysis Grid (RAG) is used to measure function performer’s potential resilience in doing an activity to keep the operation successful in any given condition and minimise undesirable outcomes. The result of the FRAM model is that there is possible performance variability found in functions of items placement to the rack, picking items, and delivery process, with two functions that could be analysed further using the RAG method. The result is the score of 3,50 of the ability to respond, 2,84 of the ability to monitor, 3,88 of the ability to learn, and 3,21 of the ability to anticipate. Based on the score of the aspects of resiliency, recommendations given are the flexible working hours and introduction of the daily self-assessment, so the ability to be resilient could be increased.

Item Type: Thesis (Other)
Uncontrolled Keywords: System Safety, Safety-II, Functional Resonance Analysis Method (FRAM), Resilience Engineering, Resilience Analysis Grid (RAG), Keamanan Sistem, Rekayasa Ketangguhan
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T55 Industrial Safety
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Ahmad Murtaja Dzaky Ma'arij
Date Deposited: 18 Feb 2022 00:12
Last Modified: 01 Nov 2022 01:01
URI: http://repository.its.ac.id/id/eprint/93894

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