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Forecasting Cardiovascular Drug Demand Using Triple Exponential Smoothing Additive Wiedyaningsih, Chairun; Yuniarti, Endang; Fadilla, Andi
Indonesian Journal of Global Health Research Vol 7 No 2 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i2.5010

Abstract

Drug management and pharmaceutical services in hospitals often face two main problems: stockouts and overstocking. This research aims to apply the Triple Exponential Smoothing (TES) additive method to forcast cardiovascular drug needs for the period of January–March 2024 at RSUD Dr. Kanujoso Djatiwibowo. This research employs a retrospective method using cardiovascular drugs data collected between January 2021 and December 2023. The forecasting results were interpreted using Mean Absolute Percentage Error (MAPE). The forecasting conducted in the range of January - March 2024, there four drug items distribute in highly accurate forecasts (MAPE<10%), while four drugs exhibited good forecasting performance (MAPE 10%-20%). Additionally, two drug items showed fair forecast results (MAPE 20%-50). This study concluded that RSUD Dr. Kanujoso Djatiwibowo could use TES Additive forecasting method.
Overcoming Regulatory Barriers: A Narrative Review of Implementation Strategies and Cultural Challenges of Lean Six Sigma in a GMP Environment Alifiya, Fhahira; Fadilla, Andi
Sains Medisina Vol 4 No 2 (2025): Sains Medisina
Publisher : CV. Wadah Publikasi Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63004/snsmed.v4i2.885

Abstract

Pharmaceutical manufacturing is required to achieve operational efficiency while strictly complying with Good Manufacturing Practice (GMP) regulations. This dual demand often limits process improvement initiatives. Lean Six Sigma (LSS) provides a structured management approach that integrates efficiency improvement with regulatory compliance. This narrative review aims to analyze LSS implementation strategies in pharmaceutical manufacturing from a management and regulatory perspective. A focused literature review was conducted using major scientific databases. Due to the limited number of empirical studies conducted in highly regulated GMP environments, five relevant case studies were selected and analyzed using a narrative reflection approach. The analysis focused on managerial strategies, regulatory constraints, and organizational culture influencing LSS implementation. The results show that LSS strengthens GMP compliance by providing data-driven justification for process changes through the DMAIC framework. Lean tools, particularly Value Stream Mapping, enable managers to identify non-value-added activities that are not mandated by regulation. However, cultural resistance and risk-averse organizational behavior remain significant challenges, requiring strong leadership and employee involvement. In conclusion, Lean Six Sigma is an effective management strategy for overcoming regulatory and cultural barriers in pharmaceutical manufacturing while supporting sustainable operational excellence and product quality.