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Abstract
This research examines energy-efficient solutions in industrial manufacturing through a Multi-Criteria Decision Analysis (MCDA) approach to discover optimal methods for improving energy consumption alongside cost-efficiency and environmental sustainability. The production activities within the industrial sector including chemical processing, metalworking and food manufacturing make up substantial portions of world energy usage. This study examines the role of advanced technologies including heat recovery systems and high-efficiency furnaces together with energy-efficient refrigeration systems in reducing energy consumption within industrial sectors. This research employs the MCDA framework which combines the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW) methods. The research examines how energy-efficient solutions perform during a six-month period by measuring energy savings alongside cost reductions and environmental benefits. The study results reveal significant energy reductions alongside cost savings between 10% to 30% while chemical production achieved a 25% decrease in energy consumption. The observed environmental improvements that include a 30% decrease in carbon emissions from chemical production demonstrate how these technologies can advance sustainable industrial practices.
Published Version
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