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Application of Registration Queue System Simulation with Multi Chanel-Multi Phase Method at Royal Prima General Hospital with Promodel Falleryan, Muhammad; P.S, Axel Juanito; Tosida, Eneng Tita; Sugara, Victor Ilyas; Nurcahya, Dimas; Subandi, Kotim
International Journal of Global Operations Research Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i2.374

Abstract

Royal Prima General Hospital often faces the problem of patient accumulation, especially at the initial registration stage, which results in increased waiting time and decreased service quality. To overcome this problem, this study implemented a multi-channel multi-phase queuing system using Promodel simulation software. This method allows the distribution of patients into multiple lanes and service stages, thereby reducing congestion and shortening waiting times. The research data was taken from a simulation that included 500 patients in the first phase (registration) and 100 patients each in the second phase (internal medicine polyclinic) and third phase (neurology polyclinic). The simulation results show that the multi-channel multi-phase queuing system is able to handle the flow of patients effectively with an average waiting time of 1.75 minutes before receiving service. Facility utilisation rates show that the internal medicine and neurology polyclinic areas operate almost at full capacity (above 90%), while the admission area has an underutilised capacity (31.8%).
The Application of Dynamic Simulation for Determining Competitive Sales Strategies of Cassava Chips Using iThink Falleryan, Muhammad; Juanito, Axel; Nurcahya, Dimas; Tosida, Eneng Tita; Subandi, Kotim; Sugara, Victor Ilyas
International Journal of Global Operations Research Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i2.377

Abstract

This study aims to determine sales strategies for cassava chips through a dynamic simulation approach using iThink software. The simulation is used to model the factors influencing sales performance, such as fluctuations in raw material prices, operational costs, and market demand patterns. By employing a CLD (Causal Loop Diagram) model and dynamic simulation, this research evaluates various strategies, including product diversification, digital promotion, and distribution efficiency. The simulation results indicate that implementing strategies such as flavor variant diversification and increased promotion through social media can significantly improve sales and profits. Validation was carried out through sensitivity testing on cost and sales parameter changes, demonstrating that dynamic simulation can be an effective tool to support data-driven strategic decision-making