Fuzzy-Based Simulation Modelling of Process Parameters Toward a Hybrid Optimisation Framework for Sustainable Glass Manufacturing

Abstract

Glass manufacturing is an energy-intensive process where small changes in operational parameters can significantly impact efficiency, emissions, and quality. This paper presents a fuzzy-based simulation model developed as a first phase of a broader hybrid optimisation framework aimed at improving sustainability and performance. The model uses fuzzy logic to estimate key performance indicators (KPIs) based on configurable input parameters and integrates a reliability function to capture forming machine degradation. An interactive tool was implemented in Julia programming language to support simulation, visualise KPI trends, and extract performance insights. Initial results show consistent system behaviour and provide a foundation for optimisation in future phases of the framework.