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Dwi Apriadi
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Engineering

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Route Optimization In Pharmaceutical Distribution Using Savings Matrix And Nearest Neighbor Heuristics: A Simulation-Based Study Aldi Musliadin; Dwi Apriadi
Jurnal Riset Ilmu Teknik Vol. 2 No. 1 (2024): May
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i1.78

Abstract

Drug distribution is one of the important factors in the pharmaceutical supply chain that directly affects operational costs and the speed of customer service. This study aims to optimize the distribution route at XYZ Pharmaceutical Warehouse, which previously used an inefficient delivery pattern, resulting in additional costs and delivery delays. This research implements the Clarke–Wright Saving Matrix and Nearest Neighbor heuristic methods and performs validation using Arena simulation. The analysis results show that the combination of the two methods can reduce the total distribution distance from 121.35 km to 103.90 km, or a reduction of 14.38%. The Nearest Neighbor method produced routes with shorter distances, while the Saving Matrix was superior in maximizing vehicle capacity. Simulations using Arena reinforced the results by showing potential savings in operational time and variable costs, particularly in fuel consumption and driver working hours. These findings confirm that the application of simple heuristic algorithms is still relevant in the context of pharmaceutical distribution, with significant implications for cost efficiency and productivity. Further research is recommended to integrate specific pharmaceutical constraints, such as time windows and cold chain, as well as metaheuristic approaches for more robust solutions.
Optimizing Hospital Pharmaceutical Warehouse Operations Using Discrete Event Simulation Aldi Musliadin; Dwi Apriadi
Jurnal Riset Ilmu Teknik Vol. 2 No. 2 (2024): September
Publisher : Lembaga Penelitian dan Ilmu Pengetahuan JEPIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59976/jurit.v2i2.97

Abstract

This study aims to analyze and optimize the operational performance of the pharmaceutical logistics warehouse at Hospital Yogyakarta using a Discrete Event Simulation (DES) approach. Preliminary observations revealed a significant workload accumulation during peak hours (09:00–10:55), leading to drug distribution delays, a 10–15% weekly discrepancy between physical and system stock data, and a 12% decline in patient satisfaction. Data were collected through direct work time measurements and secondary hospital records, then modeled using an Activity Cycle Diagram (ACD) and simulated with Arena software. Three improvement scenarios were tested: (1) reassigning goods and invoice verification tasks to the ordering operator, (2) adding one new operator dedicated to the posting activity in the system, and (3) combining both strategies. Simulation results indicate that Alternative III provides the best performance, reducing the average cycle time from 411.4 minutes to 65.57 minutes per cycle, improving productivity by up to 99%, and achieving balanced workloads among operators. These findings demonstrate that DES-based modeling is an effective tool for identifying bottlenecks and designing process improvements without requiring costly technological investment. This research contributes to the field of hospital pharmaceutical logistics management by offering an evidence-based decision-making framework to enhance operational efficiency and service quality sustainably.
Co-Authors Aldi Musliadin