Angel Guamán Lozano, Juan Fernando Haro Velasteguí, Esteban Paúl Jordán Rodríguez, Julio César Moyano Alulema, Eduardo Francisco García Cabezas, Juan Carlos Cayán Martínez
Deconstruction of Operational Variability in Biomass Production
Číslo: 1/2025
Periodikum: Quality Innovation Prosperity
DOI: 10.12776/qip.v29i1.2138
Klíčová slova: lean six sigma;system dynamics simulation;defect reduction; biomass quality control
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Methodology/Approach: The research integrates DMAIC methodology with dynamic simulation modelling, analysing and optimising drum speed, material feed rate, and drying temperature via factorial design and system dynamics.
Findings: Implementing LSS markedly reduced moisture variability, hitting a stable mean of 9.446% and cutting defects down to 59,000 PPM. Durability saw a notable lift from 91.976% to 95.896%, with defects slashed by 80%. Pellet diameter was fine-tuned from 7.241 to 7.051 mm, bringing defects down to 45,000 PPM. The results meet international standards and show improvements in process performance.
Research Limitation/Implication: The study is limited to one biomass site, focusing on key quality parameters. Future research could assess scalability and suitability across other renewable energy sectors.
Originality/Value of paper: This research highlights the novel integration of Lean Six Sigma and dynamic simulation in biomass pellet production, providing a robust framework for quality and operational stability in energy.