A Multi Criteria Framework for Ice Block Production Systems Integrating Machine Performance and Floating Photovoltaics
Abstract
The increasing demand for ice blocks in small island fisheries requires an efficient and sustainable production system that accounts for both technical and energy constraints. This study aims to identify the optimal ice block production system for Bungin Island by integrating machine characteristics, ice demand, and solar energy potential. Ice demand is estimated from fish catch data using a ratio-based approach, while technical evaluation includes criteria such as production capacity, unit weight, quantity, harvesting time, power consumption, specific energy consumption (SEC), and cost.
A multi-criteria decision analysis (MCDA) framework combining the CRITIC and TOPSIS methods is applied to determine criteria weights and rank alternatives. The results indicate that harvesting time and energy efficiency (SEC) are the most influential factors in decision-making. Among the evaluated alternatives, machines with lower SEC and shorter production cycles demonstrate superior performance. Furthermore, the analysis confirms that integrating photovoltaic systems is feasible and can support energy requirements under spatial constraints.
This study provides a systematic framework for optimizing ice block production systems, contributing to sustainable fisheries infrastructure development in small island regions.
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