Analysis of Patient Flows Using Discrete-Event Simulation (Case Study: Emergency Department of Hospital X)

This research is intended to analyze the patient flows through a number of processes in the Emergency Department (ED) using Discrete Event Simulation (DES) approach. In this paper, the time that a patient spends in the ED as well as the total number of patients served by the ED in a day were investigated and compared with the standard of the medical service time set by the hospital. A case study of Hospital X’s ED in Jakarta, Indonesia was modeled using ProModel software. In addition, this research also proposes a number of considerable scenarios for defining the suitable number of beds and nurses. The results signify that the average time spent in the ED and the number of patients served can be optimized by adding 1 nurse and 2 beds. This finding signifies that the DES modeling approach may assist the hospital managers with the decent decision for improving the efficiency of the patient flows in the ED

The Location-allocation Decision under The Dynamic Increment of Demand for Selecting The Local Distribution Centers to Face Sumatra Megathrust: Study Case of Padang City

The efforts of providing effective relief assistance in the aftermath of the disaster is prominent to prevent losses and suffering. During the emergency response, the level of preparedness becomes a decisive factor to obtain an immediate countermeasure in order to enhance the capability and to reduce the impact caused by the disaster. Due to its vital role as a transit point to manage large inflow and outflow of the relief commodities, the location-allocation decision to select the appropriate Local Distribution Centers (LDCs) is essential. This research proposes the location-allocation planning for encountering Sumatra Megathrust during 72 hours of the critical period. The dynamic increment of demand over the planning period is considered as a constraint to obtain the set of appropriate LDCs to be established per day. The consideration regarding the expected impassable paths based on the worst case tsunami inundation scenario is acknowledged to ensure the proper access for distributing the relief aids. This work utilizes Geographical Information Systems (GIS) with the maximum coverage analysis to generate the set of alternative LDCs per day. The effectiveness of the alternative LDCs is measured by calculating the opening cost and transportation cost. The finding recommends two LDCs to be opened in the first two days, and three LDCs are considered to be established on the third day. The total costs of the LDCs establishment per day are 1369.05 USD, 669.85 USD, and 1126.53 USD. The depiction of the selected depots-recipient counterparts is provided to acquire the spatial information of the study area

Simulasi Optimasi Antrian Truk Pada Proses Loading Sembako Gudang PT.XYZ

Gudang memiliki peranan penting bagi perusahaan, tak terkecuali PT. XYZ yang berlokasi di Jakarta Utara. Salah satu kegiatan operasional yang dilakukan di gudang PT. XYZ adalah proses loading sembako ke truk angkut. Namun, waktu yang dibutuhkan oleh setiap truk angkut untuk melakukan proses loading sembako dapat mempengaruhi jumlah truk angkut yang menunggu untuk dilayani. Penelitian ini bertujuan untuk meminimasi waktu truk angkut pada proses loading sembako di gudang PT. XYZ menggunakan metode simulasi optimasi. Hasil penelitian mengindikasikan bahwa jumlah truk angkut yang dapat dilayani dapat ditingkatkan dengan menambah jumlah dock door. Berdasarkan percobaan simulasi optimasi, penelitian ini mengusulkan 32 dock door untuk melayani kegiatan loading sembako di gudang PT. XYZ yang dapat mengurangi waktu rata-rata pelayanan truk Fuso dan truk CDD masing-masing sebesar 76.3 menit dan 73.45 menit. Selain itu, utilitas di parking line 1 dapat berkurang hingga 9.2 % dan 48.39 % di parking line 2

Simulasi-Optimasi Sistem Transportasi Penentuan Kebutuhan Truk Tangki Pada Proses Distribusi BBM: Studi Kasus TBBM Plumpang

Bahan Bakar Minyak (BBM) merupakan salah satu kebutuhan pokok yang sangat penting bagi masyarakat, salah satunya yaitu sebagai bahan bakar kendaraan. Pemerintah melalui PT Pertamina (Persero) memiliki peran penting untuk mengatur kegiatan operasional dan ketersediaan BBM bagi masyarakat. Adanya fluktuasi permintaan BBM akan mempengaruhi jumlah kebutuhan truk tangki yang digunakan untuk mendistribusikan BBM ke masing-masing Stasiun Pengisian Bahan Bakar Umum (SPBU). Penelitian ini menggunakan model simulasi-optimasi untuk merancang dan mengembangkan model proses distribusi BBM dari TBBM Plumpang ke SPBU COCO di DKI Jakarta. Tujuan dari penelitian ini adalah merancang dan mengembangkan model simulasi-optimasi untuk menentukan kebutuhan truk tangki yang optimal pada pada prses pendistribusian BBM dengan menggunakan software simulasi Promodel. Hasil penelitian ini menunjukkan bahwa nilai utilitas truk tangki pada kondisi saat ini adalah sebesar 11.49%. Setelah dilakukan simulasi-optimasi didapatkan hasil jumlah mobil tangki yang diusulkan sebanyak 5 unit dengan peningkatan utilitas kendaraan sebesar 48.27%. Terdapat penurunan waktu idle sebesar 86.82% dari kondisi saat ini dan rata-rata waktu penggunaan kendaraan per hari menjadi 0.42 hari lebih singkat daripada kondisi saat ini

Enhancing Post-Disaster Mapping Assessment: Agent-Based Simulation Modeling Integrating Ground Vehicles and Drones (Case Study: Mount Merapi's Volcanic Eruption)

This research presents an agent-based simulation model for post-disaster location mapping, considering land vehicles and drones along with access road availability and depot locations. The study examines the impact of bridge facility damage on depot selection and time indicators. Results reveal that damage to bridge facilities affects depots differently based on their location, leading to increased total processing and completion times due to interactions between land vehicles and bridges. Depot 7 emerges as the optimal location for undamaged and KRB II and III damage scenarios based on total processing time. Depot 3 performs best for KRB III damage, while Depot 8 exhibits the shortest completion time across all scenarios. These findings emphasize the importance of selecting depots with resilient road access and alternative routes, improving post-disaster logistics efficiency

Perencanaan dan Pengendalian Produksi Dalam Sistem Logistik (Pendekatan Berbasis Praktikum Laboratorium)

The concept of Production Planning and Control is closely related to logistics activities, including in determining the production of a product. Production planning and control aims to get a complete picture of how to plan and control production in the industry of each company, so that all costs can be reduced. Production planning, Rough Cut Capacity Planning (RCCP), Material Requirement Planning (MRP), Capacity Requirement Planning (CRP), and Line Balancing are some of the steps that need to be done in providing an overview of the production planning and control system at the "Tamiya" Company. Production planning results in the amount of "Tamiya" production in a certain period by considering SEE and the most appropriate production strategy that results in total costs. MPS validation considerations are the output of the RCCP calculation, a comparison of the ratio of the required capacity to the capacity of the company. The MRP stage reduces production due to material unavailability, the result is the best material scheduling based on the lot sizing method which provides the lowest cost. CRP generates Planned Input and Planned Output per work station to see the balance between load and capacity. Line Balancing functions to balance assignments through the Ranking Position Weight (RPW) and Presedence Diagram methods, getting results in the form of updating the layout of the assignment so that the efficiency of the production line can be improved  Konsep Perencanaan dan Pengendalian Produksi erat kaitannya dengan aktivitas logistik, tak terkecuali dalam menentukan produksi sebuah produk.  Perencanaan dan Pengendalian Produksi bertujuan untuk mendapat gambaran lengkap bagaimana melakukan Perencanaan (planning) dan Pengendalian (control) terhadap Produksi dalam industri setiap perusahaan, sehingga semua total biaya dapat diminimasi. Production planning, Rough Cut Capacity Planning (RCCP), Material Requirement Planning (MRP), Capacity Requirement Planning (CRP), dan Line Balancing merupakan beberapa tahapan yang perlu dilakukan dalam memberikan gambaran mengenai sistem perencanaan dan pengendalian produksi di Perusahaan “Tamiya”. Production planning memperoleh hasil berupa jumlah produksi “Tamiya” dalam periode tertentu dengan mempertimbangkan SEE dan strategi produksi paling tepat yang menghasilkan total cost terkecil. Pertimbangan validasi MPS adalah keluaran perhitungan RCCP, berdasarkan perbandingan kapasitas yang dibutuhkan dengan kapasitas tersedia yang dimiliki perusahaan. Tahapan MRP menghindari keterlambatan produksi akibat ketidaktersediaan material, hasilnya berupa penjadwalan material terbaik berdasarkan metode lot sizing yang memberikan biaya terendah. CRP menghasilkan Planned Input dan Planned Output per stasiun kerja untuk mengetahui keselarasan antara beban dengan kapasitas. Line Balancing berfungsi menyeimbangkan penugasan melalui metode Ranked Position Weight (RPW) dan Presedence Diagram, mendapat hasil berupa pembaharuan layout penugasan agar efisiensi lintasan produksi dapat ditingkatkan

A joint model of optimization and simulation methods for humanitarian logistics to face sumatra megathrust

Thesis (M.Eng., Industrial and System Engineering)--Prince of Songkla University, 201

ANALISIS RISIKO DALAM PROSES PENGADAAN JASA DI RU III MENGGUNAKAN PENDEKATAN HOUSE OF RISK (HOR)

This study analyzes risks in the procurement process of services in RU III using the House of Risk (HOR) approach to enhance risk management effectiveness. Risk identification is conducted through observation, interviews, and relevant literature review. The analysis of HOR phase 1 identifies three best risk mitigation strategies: coordination with vendors/FPP before open registration (PA1), clarification of technical and administrative documents (PA2), and maximum negotiation and tender reprocessing if below Pertamina's HPS (PA3). HOR phase 2 involves calculating the Total Effectiveness Value (TEk) and the Efficiency Difficulty Ratio (ETDk) to evaluate the effectiveness and implementation difficulty of the mitigation strategies. This research provides recommendations for implementing the identified mitigation strategies and periodic monitoring to enhance risk control. The findings of this study contribute to the development of service procurement risk management in RU III and serve as a reference for decision-makers in risk mitigation during the service procurement phase